System

Abstract

A system is provided.SOLUTION: The system includes a means for inputting a search keyword from a terminal, a means for transmitting the search keyword and authentication information to a server, a means for acquiring a search result from a plurality of information sources by the server, a means for confirming a browsing authority of a user in the search result by the server, a means for supporting the browsing authority of the user by the server, a means for arranging the search result and related information and transmitting them to the terminal, and a means for displaying the search result and related information to the terminal by the terminal.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Currently, information is stored in a dispersed manner, making it difficult for users to quickly search and obtain the information they need from multiple information sources. Furthermore, the inability to smoothly extract related information from search results reduces work efficiency. Furthermore, when accessing information that requires viewing authorization, it is unclear to whom authorization should be requested, resulting in a time-consuming process. [Means for solving the problem]

[0005] The present invention solves the above-mentioned problems by providing a system including: a means for inputting search keywords from a terminal; a means for transmitting the search keywords and authentication information to a server; a means for the server to obtain search results from multiple information sources; a means for the server to confirm the user's viewing authority in the search results; a means for the server to support the user's viewing authority; a means for the server to organize the search results and related information and transmit them to the terminal; and a means for the terminal to display the search results and related information to the user. Furthermore, the system further adds a means for providing contact information of an authorized person and an application template for information in the search results that the user does not have viewing authority for, and a means for the server to collect related information along with the search results and provide it to the user, thereby enabling the user to quickly and efficiently access the information they need.

[0006] A "terminal" is a device such as a computer or smartphone operated by a user.

[0007] A "search keyword" is one or more words or phrases that a user enters into a terminal to search for specific information.

[0008] "Authentication information" is information used to identify a user and grant appropriate access rights, and includes a user ID and a session ID.

[0009] A "server" is a computer system for receiving and processing search requests sent from terminals.

[0010] "Information source" refers to the storage system or service that stores the data accessed by the user, including cloud storage and local storage.

[0011] "Search results" are a collection of data that matches the search keywords and that the server retrieves from the information source.

[0012] "Viewing authority" refers to the right of a specific user to access specific information, and is a right for managing access to restricted data.

[0013] "Authorized Person" means a person or organization that has the right to control and grant access rights to specific information.

[0014] "Related information" refers to additional information that is directly related to a search result but has a different format or content and is supplementary data that may be useful to the user.

[0015] An "application template" is a template of prescribed formats and sentences to be used when a user applies for viewing authority. [Brief explanation of the drawings]

[0016] [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

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] 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).

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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."

[0024] [First embodiment]

[0025] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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."

[0037] This system helps users quickly search for information and obtain the relevant information they need. When a user enters search keywords on their terminal and presses the search button, the server executes a search across multiple information sources and provides the results to the user. It also supports how users obtain viewing permissions for information that requires viewing permissions.

[0038] System Program Processing

[0039] 1. User enters search keywords:

[0040] The user enters search keywords into the device's search bar and presses the search button, which activates the search query.

[0041] 2. The device sends a search request to the server:

[0042] The device sends the entered search keywords and user authentication information to the server as a single request. The information is encrypted because it is sent using the HTTPS protocol.

[0043] 3. The server receives and parses the request:

[0044] The server receives the request, analyzes the search keywords and authentication information, and then identifies accessible information sources based on the user's authentication information.

[0045] 4. The server initiates a search for each information source:

[0046] The server sends a search request to the identified information sources (e.g., cloud storage service, email service, local storage, etc.) using the appropriate API. A search is performed in each information source.

[0047] 5. The server receives and organizes the search results:

[0048] The search results from each information source are sent back to the server, which aggregates the results and extracts the metadata for each result (file name, creation date, file type, etc.).

[0049] 6. The server checks the permissions:

[0050] For each item in the search results, the server checks whether the user has permission to view it, and if not, the information is not provided directly to the user.

[0051] 7. Server supports permissions:

[0052] If the user does not have permission to view the information they wish to view, the server provides a way for them to request permission, including contact information for the person with permission and a request template.

[0053] 8. The server organizes the search results with relevant information:

[0054] The server also collects related information (e.g., related emails, spreadsheets, etc.) and structures it into a single package along with the search results.

[0055] 9. Your device will display the search results:

[0056] The terminal analyzes the search results received from the server and displays them to the user in a format that is easy for the user to view, and allows easy access to the related information they need.

[0057] Specific examples

[0058] For example, if a user searches for the keyword "project budget," the system will operate as follows:

[0059] 1. The user enters "project budget" and presses the search button.

[0060] 2. The device sends the "project budget" and user ID to the server.

[0061] 3. The server analyzes the received search keywords and verifies the user's authentication information.

[0062] 4. The server searches for information related to "Project Budget" from cloud storage, email services, local storage, etc.

[0063] 5. The server consolidates the search results returned from each information source and organizes the metadata.

[0064] 6. The server checks the access rights for this information and provides access request support if necessary.

[0065] 7. The server also collects and organizes related information (e.g., related email correspondence, spreadsheets).

[0066] 8. The device displays search results and related information to the user, allowing the user to quickly access the information they need.

[0067] The present invention not only enables users to quickly obtain necessary information from multiple information sources, but also allows users to smoothly retrieve related information. Furthermore, it also enables efficient handling of information that requires viewing authorization, thereby significantly improving work efficiency.

[0068] The processing flow will be explained below.

[0069] Step 1:

[0070] The user enters search keywords into the device's search bar and presses the search button. This action causes the device to temporarily store the search keywords and authentication information entered by the user.

[0071] Step 2:

[0072] The device packages the search keywords and the user's authentication information into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted, so the information is sent securely.

[0073] Step 3:

[0074] The server receives the request, analyzes the search keywords and user authentication information, verifies whether the user authentication information is valid, and obtains a list of information sources that the user can access.

[0075] Step 4:

[0076] The server sends a search request based on the search keywords to the identified information sources, which may include cloud storage services, email services, local storage, etc. The server calls the appropriate API for each information source.

[0077] Step 5:

[0078] Each information source receives a search request, searches for the relevant data, and returns the results to the server, which receives the search results from multiple information sources and combines them into a single dataset.

[0079] Step 6:

[0080] The server checks the user's viewing permissions for each result in the integrated dataset. For each result, it compares the user's permission information and distinguishes between results that are viewable and those that are not.

[0081] Step 7:

[0082] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[0083] Step 8:

[0084] After the server verifies viewing permissions, it organizes the search results and related information (e.g., related emails, spreadsheets, meeting minutes, etc.) and structures them into a package that is easily accessible to the user.

[0085] Step 9:

[0086] The device analyzes the package received from the server and displays it in a visually easy-to-understand format for the user. Search results are displayed in a list format, with links to each result provided. In addition, related information is displayed at the same time, allowing users to smoothly access the information they need.

[0087] Step 10:

[0088] Users can operate their devices to view search results and related information, and open or download information as needed. For information that requires viewing permission, users can apply for permission through their devices.

[0089] These are the specific steps of the system's program processing, which allows users to quickly obtain the information they need from a variety of information sources and efficiently use related information.

[0090] Example 1

[0091] 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."

[0092] In conventional search systems, it is difficult for users to efficiently obtain necessary information from multiple data sources. Furthermore, if a user does not have permission to view information included in search results, the procedures for using that information are cumbersome, resulting in reduced work efficiency. The present invention aims to solve these problems and provide a system that allows users to quickly and efficiently obtain necessary information and related information.

[0093] 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.

[0094] In this invention, the server includes means for transmitting search keywords and authentication information to multiple data sources, means for receiving search results from each data source and creating a list, means for confirming viewing authority for the search results, means for supporting acquisition of viewing authority for information for which the user does not have viewing authority, and means for organizing related information and transmitting it to the user information processing device, thereby enabling the user to quickly obtain the information they need and efficiently access information for which they do not have viewing authority.

[0095] A "user information processing device" is a terminal device that allows a user to input and view information, and includes a personal computer, a smartphone, a tablet, and the like.

[0096] "Search keywords" are words or phrases that a user enters to search for specific information.

[0097] "Authentication information" is information used to prove that a user has specific authority, and includes a user ID, password, and the like.

[0098] A "server" is a computer system that processes requests sent from user information processing devices, obtains necessary information from multiple data sources, integrates it, and sends it.

[0099] A "data source" is a database or storage system that a server uses to execute a search query, including cloud storage, local databases, online services, and the like.

[0100] "Search results" are information retrieved from data sources based on search keywords entered by a user.

[0101] "Viewing authority" refers to the right of a user to access and view specific information.

[0102] "Authority acquisition support" is a function that supports the procedure for a user to obtain access to information that the user does not have permission to view.

[0103] "Related information" is additional information provided with search results, including emails, documents, reports, etc. related to the search keywords.

[0104] The present invention is a search system that allows users to quickly and efficiently obtain the information they need from multiple data sources and provides related information in an integrated manner. The program processing of this system will be explained below in natural language.

[0105] Hardware and Software Configuration

[0106] The system consists of the following main components:

[0107] 1. User information processing device:

[0108] This includes terminal devices such as personal computers, smartphones, and tablets.

[0109] 2. Server:

[0110] A computer system that processes search requests and aggregates and transmits data.

[0111] 3. Data Source:

[0112] This includes cloud storage (e.g., Amazon S3, Google Drive), local databases, online services, etc.

[0113] 4. Communication Protocol:

[0114] By using the HTTPS protocol, data transmission is encrypted.

[0115] Data processing and calculation

[0116] 1. User information processing device:

[0117] A search request is activated by entering search keywords in the search bar and pressing the search button. Let's take a specific example where a user enters the keyword "project budget."

[0118] 2. Terminal processing:

[0119] The entered search keyword (project budget) and authentication information (e.g., user123) are sent to the server using the HTTPS protocol.

[0120] 3. Server processing:

[0121] The server receives the request, parses it, and then identifies accessible data sources based on the user's credentials.

[0122] The server sends a search request using an API to the specified data source (e.g., Amazon S3, Google Drive, local database) to find data related to "project budget."

[0123] The search results from each data source are integrated and metadata (file name, creation date, file type, etc.) is organized.

[0124] For each item in the search results, the system checks the user's viewing permissions. If the user does not have viewing permissions, this information will not be provided to the user, but contact information and an application template will be generated to help them obtain the permissions.

[0125] Collect search results along with related information (e.g. related emails and spreadsheets) and structure them into a single package.

[0126] 4. Reply to user information processing device:

[0127] The server transmits the structured search results and related information to the user's information processing device.

[0128] The user information processing device analyzes the received data and displays it in a format that is easy for the user to view.

[0129] Adding specific examples

[0130] For example, if a user searches for the keyword "project budget," the system will operate as follows:

[0131] 1. User enters "Project Budget" and presses the search button

[0132] 2. The device sends the "project budget" and user ID to the server.

[0133] 3. The server analyzes the received search keywords and checks the user's authentication information

[0134] 4. The server searches for information related to "Project Budget" from cloud storage, email services, local storage, etc.

[0135] 5. The server consolidates the search results returned from each data source and organizes the metadata.

[0136] 6. The server checks the access rights to this information and provides support for requesting access rights if necessary.

[0137] 7. The server also collects and organizes related information (e.g., related email correspondence, spreadsheets)

[0138] 8. The device displays the search results and related information to the user.

[0139] Prompt Sentence Examples

[0140] Examples of prompts to input to a generative AI model include:

[0141] Please explain in natural language the steps a system takes to search for information about "project budget," gather relevant information from multiple sources such as cloud storage, email, and local files, and display it to the user.

[0142] This specification shows specific implementation methods of the present invention, thereby enabling other skilled persons to accurately understand and implement the invention.

[0143] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0144] Step 1:

[0145] The user enters search keywords

[0146] The user enters a search keyword into the device's search bar and presses the search button, for example, "project budget," which generates a search request.

[0147] Input: Search keyword "project budget"

[0148] Output: Search request activated

[0149] Specific operations: The user operates the device interface, enters keywords in the search bar, and clicks the "search button."

[0150] Step 2:

[0151] The device sends a search request to the server

[0152] The device acquires the search keywords and authentication information entered by the user and sends them to the server using the HTTPS protocol. For example, it sends "project budget" and the user ID "user123."

[0153] Input: Search keyword "project budget", User ID "user123"

[0154] Output: Sending an encrypted search request over HTTPS protocol

[0155] Specific operation: The device internally packages the search keywords and user ID and sends them to the server via the HTTPS protocol.

[0156] Step 3:

[0157] The server receives and parses the request

[0158] The server receives the request sent from the device, analyzes the search keywords and authentication information, and identifies the data sources that the user can access.

[0159] Input: Search request (search keyword "project budget", user ID "user123")

[0160] Output: Analysis results (list of accessible data sources)

[0161] Specific operation: The server analyzes the received request and identifies the data sources that can be accessed based on the user's authentication information.

[0162] Step 4:

[0163] The server initiates a search for each data source

[0164] The server sends a search request using the appropriate API to the identified data source (e.g., cloud storage, local database, etc.) The server searches each data source for data related to "project budget."

[0165] Input: Analysis results (list of accessible data sources), search keyword "project budget"

[0166] Output: Search results from each data source

[0167] Specific operation: The server sends a request to retrieve data related to "Project Budget" using the Amazon S3 API, Google Drive API, or local storage access engine.

[0168] Step 5:

[0169] The server receives and organizes the search results

[0170] The server receives the search results returned from each data source, consolidates and organizes them, extracting metadata (file name, creation date, file type, etc.) and creating a centralized list.

[0171] Input: Search results from each data source

[0172] Output: Consolidated search results list

[0173] What it does: The server receives data from Amazon S3, Google Drive, and local storage, extracts metadata such as file name, creation date, and file type, and organizes it.

[0174] Step 6:

[0175] The server checks the permissions

[0176] The server checks the user's viewing permissions for each item in the search results. If the user does not have the viewing permissions, the information is not provided to the user.

[0177] Input: Unified search results list

[0178] Output: Search result list with confirmed viewing permissions

[0179] Specific operation: The server checks the user's viewing permissions for the consolidated search result list and removes unauthorized data from the list.

[0180] Step 7:

[0181] Server supports permissions

[0182] For information that a user wishes to view but does not have permission to view, the server provides a way for the user to request permission, including contact information for the person with permission and a request template.

[0183] Input: Information you do not have permission to view

[0184] Output: Support information for permission requests (contact information, request template)

[0185] Specific operation: For information that the server does not have permission to view, it generates and provides contact information and an application template for the authorized person.

[0186] Step 8:

[0187] The server organizes the search results with relevant information

[0188] The server collects related information (e.g., related emails and spreadsheets) along with the search results and structures them into a single package.

[0189] Input: Permission-checked search results list, related information

[0190] Output: A structured search result package

[0191] What it does: The server organizes relevant information, such as emails and spreadsheets, along with search results, and assembles them into a single package.

[0192] Step 9:

[0193] Your device will display the search results.

[0194] The terminal analyzes the search results received from the server and displays them in a user-friendly format, allowing the user to quickly access the search results and related information.

[0195] Input: Structured search result package

[0196] Output: Search results and related information displayed to the user

[0197] Specific operation: The terminal analyzes the search result package received from the server and displays it on the user interface.

[0198] (Application example 1)

[0199] 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."

[0200] In factories and manufacturing sites, the ability of workers to quickly obtain the information they need from multiple data and information sources significantly affects work efficiency. With conventional systems, information searches and viewing authorization checks are performed separately, which means it takes time to obtain information and there is a risk that necessary related information may be overlooked. Furthermore, there is a lack of systems in place to recognize voice commands and support the acquisition of unauthorized information, which reduces on-site efficiency. A system that can solve these problems is needed.

[0201] 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.

[0202] In this invention, the server includes means for inputting search keywords from a terminal, means for transmitting the search keywords and authentication information to the server, means for the server to obtain search results from multiple information sources, means for the server to confirm the user's viewing authority in the search results, means for the server to support the user's viewing authority, means for the server to organize the search results and related information and transmit them to the terminal, means for the terminal to display the search results and related information to the user, means for converting the search keywords into text using a voice recognition engine, means for automatically generating and providing an authority application template, and means for the work support robot to connect to the terminal and notify the terminal of the search results. This makes it possible to improve work efficiency and quickly obtain necessary related information.

[0203] A "terminal" is a device through which a user inputs search keywords and obtains information.

[0204] "Search keywords" are words or phrases that a user enters to search for specific information.

[0205] "Authentication Information" means the authentication means required for a user to access the system, including a user ID and password.

[0206] A "server" is a computer system that retrieves search results from multiple information sources and processes user search queries.

[0207] An "information source" is a location or system where data or information is stored, including cloud storage, email services, local databases, etc.

[0208] "Search results" are data and information retrieved from information sources based on search keywords.

[0209] "Viewing authority" is the right that a user has to access and view specific information.

[0210] An "authority request template" is a fixed phrase used when a user requests permission to view information that the user requires.

[0211] A "voice recognition engine" is software or hardware for converting voice commands into text data.

[0212] A "work support robot" is a robot that supports the work of workers in factories and manufacturing sites.

[0213] "Related Information" is supplemental data or information related to a search query that is provided with search results.

[0214] This invention is a system for improving the efficiency of information search and management of viewing authority in factories and manufacturing sites, and uses work support robots to enable workers to quickly obtain the information they need. This system allows for a continuous process from entering search keywords to obtaining related information, dramatically improving work efficiency.

[0215] System configuration

[0216] The system consists of the following main components:

[0217] 1. Terminal: A device through which users input search keywords and obtain information. This includes smartphones, smart glasses, head-mounted displays, etc.

[0218] 2. Server: A computer system that retrieves search results from multiple information sources and processes the user's search query. The specific server used can be a cloud server or a local server.

[0219] 3. Information Source: The location or system where data or information is stored, such as cloud storage, email services, or local databases.

[0220] 4. Speech recognition engine: Software or hardware that converts voice commands into text data, such as the Google Speech-to-Text API or Amazon Transcribe.

[0221] 5. Work support robot: A robot that supports workers in their work. It connects to the user's device and provides necessary information.

[0222] System Operation

[0223] 1. Speech Recognition:

[0224] The user issues a voice command such as "Show me the instruction manual for part X."

[0225] A voice recognition engine converts the voice command into text data.

[0226] 2. Submit a search request:

[0227] The device sends the entered search keyword (text data) and authentication information to the server. The communication uses the HTTPS protocol to ensure security.

[0228] 3. Search process:

[0229] The server sends a search request using search keywords to multiple information sources, and API requests are made to cloud storage, email services, and local databases.

[0230] 4. Search Results Integration:

[0231] The server consolidates the search results received from each information source, extracts metadata (file name, creation date, file type, etc.), and organizes them.

[0232] 5. Viewing permission verification and support:

[0233] The server checks the user's viewing rights for each search result. If the user does not have the viewing rights, it automatically generates and provides a permission request template and the contact information of the person with the permission.

[0234] 6. Displaying search results and related information:

[0235] The server sends the search results along with related information to the terminal, which then displays the processed data in an easy-to-read format for the user and provides an authorization link if necessary.

[0236] Specific examples

[0237] For example, when a worker searches for "the instruction manual for part X," the following steps are taken:

[0238] The user issues a voice command such as, "Show me the instruction manual for part X."

[0239] The speech recognition engine converts this speech into text data and sends it to the server.

[0240] The server searches for the required information from multiple information sources and integrates the results.

[0241] For information you do not have permission to view, we will provide you with a template and contact information for requesting permission.

[0242] The work support robot notifies the terminal of search results, helping the user to quickly obtain information.

[0243] Prompt Sentence Examples

[0244] The following prompt sentences can be used:

[0245] "Show me the instruction manual for part X"

[0246] This invention allows workers to quickly obtain the information they need at a factory or manufacturing site, thereby improving work efficiency and accuracy.

[0247] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0248] Step 1:

[0249] The user inputs a voice command. The user says, "Show me the instruction manual for part X." The input at this point is the user's voice data. The output is sent to the speech recognition engine.

[0250] Step 2:

[0251] A speech recognition engine converts speech into text. A speech recognition engine (for example, Google Speech-to-Text API) receives speech data and converts it into text data. Specifically, the speech data undergoes acoustic signal processing and natural language processing to be converted into text data such as "Show me the instruction manual for part X." The input is speech data, and the output is text data.

[0252] Step 3:

[0253] The device sends a search request to the server. The device encrypts the text data (search keywords) obtained from the voice recognition engine and the user's authentication information using the HTTPS protocol and sends them to the server. The input is the text data and authentication information, and the output is the request sent to the server.

[0254] Step 4:

[0255] The server receives the request and analyzes the search keywords. The server analyzes the search keywords and authentication information from the received request and identifies the information sources that the user can access. Specifically, it analyzes the search keywords and understands their vocabulary and syntax using a parser. The input is the search keywords and authentication information, and the output is a list of accessible information sources.

[0256] Step 5:

[0257] The server sends a search query to the information source. The server makes a search request to the identified information source (cloud storage, email service, local database, etc.) using the appropriate API. The input is a list of information sources and search keywords, and the output is the search results obtained from each information source.

[0258] Step 6:

[0259] The server integrates the search results and extracts metadata. The server receives and integrates the search results obtained from each information source. It also extracts metadata (file name, creation date, file type, etc.) for each search result. The input is the search results from each information source, and the output is the integrated search results and metadata.

[0260] Step 7:

[0261] The server checks the viewing permissions. The server checks whether the user has permission to view each item in the integrated search results. If the user does not have permission, the server does not provide the item directly to the user, but also generates a template and contact information for permission request. The input is the integrated search results and the user's authentication information, and the output is the permission-confirmed search results and permission request information.

[0262] Step 8:

[0263] The server organizes the search results and related information and sends them to the terminal. The server organizes the authorized search results and related information into a package and sends it to the terminal. The input is the authorized search results and related information, and the output is the package sent to the terminal.

[0264] Step 9:

[0265] The terminal displays the search results and related information to the user. The terminal analyzes the package received from the server and displays the search results and related information in an easy-to-read format for the user. It also provides an authorization link if necessary. The input is the package data from the server, and the output is the information displayed to the user.

[0266] Through the above processing steps, users can quickly and efficiently obtain the information they need at the factory or manufacturing site.

[0267] 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.

[0268] The present invention is an information retrieval system incorporating an emotion engine that recognizes user emotions. When a user inputs search keywords from a terminal and presses a search button, the server executes a search across multiple information sources and provides the results to the user. It also supports the user in obtaining viewing authority for information that requires it. The system of the present invention uses the emotion engine to analyze the user's emotions, and based on that, it rearranges the priority of search results, makes suggestions in real time, and provides personalized search results.

[0269] System Program Processing

[0270] 1. User enters search keywords:

[0271] When a user enters search keywords into the device's search bar and presses the search button, the device detects the user's voice and facial expressions, and prepares the emotion engine to analyze them.

[0272] 2. The device sends a search request to the server:

[0273] The device packages the entered search keywords, user authentication information, and emotion data into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted, so the information is transmitted securely.

[0274] 3. The server receives and parses the request:

[0275] The server receives the request, analyzes the search keywords and the user's authentication information, and also analyzes the emotion data provided by the emotion engine to understand the user's current emotional state. After analysis, it obtains a list of accessible information sources based on the user's authentication information.

[0276] 4. The server initiates a search for each information source:

[0277] The server sends a search request based on the search keywords to the identified information sources, which may include cloud storage services, email services, local storage, etc. The server calls the appropriate API for each information source.

[0278] 5. The server receives and organizes the search results:

[0279] Each information source receives a search request, searches for the relevant data, and returns the results to the server. The server receives search results from multiple information sources, integrates them into a single dataset, and adjusts the priority of search results based on an emotion engine.

[0280] 6. The server checks the permissions:

[0281] The server checks the user's viewing permissions for each result in the integrated dataset. For each result, it compares the user's permission information and distinguishes between results that are viewable and those that are not.

[0282] 7. Server supports permissions:

[0283] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[0284] 8. The server collects emotional data and provides personalized search results:

[0285] The emotion engine collects user emotional data and personalizes search results based on past emotional patterns, providing search results optimized for the user's past emotional history.

[0286] 9. Your device will display the search results:

[0287] The device analyzes the package received from the server and displays it in a visually easy-to-understand format for the user. Search results are displayed in a list format, with links to each result provided. In addition, related information is displayed at the same time, allowing users to smoothly access the information they need.

[0288] Specific examples

[0289] For example, if a user searches for the keyword "project budget" and looks worried, the system will recognize that emotion. The emotion engine will determine that the user is stressed and will change the priorities to display information that needs immediate attention. It will also display related information that is useful for project management, allowing users to quickly access the information they need.

[0290] The present invention not only enables users to quickly obtain necessary information from various information sources, but also enables them to efficiently use related information. Furthermore, personalized search results that take into account the user's feelings are provided, further improving the search experience. Furthermore, the present invention also enables efficient handling of information that requires viewing authorization, significantly improving work efficiency.

[0291] The processing flow will be explained below.

[0292] Step 1:

[0293] The user enters search keywords into the search bar of the device and presses the search button. This operation causes the device to acquire the search keywords.

[0294] Step 2:

[0295] The device detects the user's voice and facial expressions, and the emotion engine prepares to analyze them. The emotion engine collects and analyzes the user's emotional data to determine their real-time emotional state.

[0296] Step 3:

[0297] The device packages the search keywords, user authentication information, and emotion data into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted and therefore secure.

[0298] Step 4:

[0299] The server receives the request, analyzes the search keywords and user authentication information, verifies whether the user authentication information is valid, and obtains a list of information sources that the user can access.

[0300] Step 5:

[0301] The server analyzes the emotional data and uses it to understand the user's current emotional state. The emotion engine determines, for example, whether the user is feeling stressed or anxious.

[0302] Step 6:

[0303] The server sends a search request based on the search keywords to the identified information sources, calling the appropriate API for each information source, such as cloud storage, email service, or local storage.

[0304] Step 7:

[0305] Each information source receives a search request, searches for the relevant data, and returns the results to the server, which receives the search results from multiple information sources and combines them into a single dataset.

[0306] Step 8:

[0307] The server checks the user's viewing permissions for each result in the integrated dataset, and distinguishes between data the user has permission to view and data they do not.

[0308] Step 9:

[0309] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[0310] Step 10:

[0311] The server adjusts the priority of search results based on the emotion data. For example, if the user feels urgent, it adjusts the display to show information with a high degree of urgency.

[0312] Step 11:

[0313] The server organizes and structures the search results and related information, including personalized search results based on an emotion engine.

[0314] Step 12:

[0315] The device analyzes the package received from the server and displays it in a visually easy-to-understand format to the user. Search results are displayed in a list format with links to each result, along with related information and instructions for requesting authorization.

[0316] Step 13:

[0317] Users can operate their devices to view search results and related information, and open or download the information as needed. Furthermore, for information that requires viewing permission, they can apply for permission through their devices.

[0318] Step 14:

[0319] When a user actually uses information, the system accumulates emotional data about the user and uses it to personalize future search results.

[0320] These are the specific processing steps of a system incorporating an emotion engine, which allows users to quickly and efficiently access the information they need and provides them with an optimal information experience that matches their emotions at the time.

[0321] Example 2

[0322] 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."

[0323] Conventional information search systems present search results without considering the user's emotional state, which can prevent users from quickly accessing the information they need. Furthermore, because access to unauthorized information is limited, users often waste time accessing the information they need. This reduces user convenience and hinders work efficiency.

[0324] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0325] In this invention, the server includes a means for an emotion analysis device to analyze a user's emotional state and adjust the priority of search results, a means for collecting the user's emotional data and personalizing the search results based on past emotional patterns, and a means for providing contact information of an authorized person and an application template for information in the search results that the user does not have permission to view. This makes it possible to provide personalized search results that take the user's emotional state into consideration, enabling quick access to necessary information. Furthermore, by providing an efficient method for accessing information that requires permission, the user's work efficiency is significantly improved.

[0326] "User" refers to a user who accesses and operates the system.

[0327] "Terminal" refers to an input / output device through which a user inputs search keywords and displays search results.

[0328] "Server" means the central processing unit that receives search requests and collects and organizes data from multiple sources.

[0329] A "search keyword" refers to text data that a user inputs when searching for information.

[0330] "Authentication information" is data used to verify a user's identity, and includes passwords, tokens, and the like.

[0331] "Information source" refers to a data storage location such as a database or cloud storage where the data to be searched is stored.

[0332] "Search results" refers to data retrieved from information sources that match or are related to the search keywords.

[0333] "Viewing privileges" refers to permission to access or view specific data.

[0334] "Authorized Person" means a person or organization that has access to specific information.

[0335] "Request Template" refers to a standard document used to request access rights.

[0336] An "emotion analysis device" refers to a device or software that analyzes a user's voice and facial expressions to evaluate their emotional state.

[0337] "Personalization" refers to optimizing search results based on a user's individual needs and past behavior.

[0338] The present invention is an information retrieval system that analyzes user emotions and adjusts the priority of search results. In this system, a user inputs search keywords from a terminal, a server executes a search against multiple information sources, and provides personalized search results based on the emotional data.

[0339] First, the user enters search keywords into the device's search bar and presses the search button. At this time, the device is equipped with a camera and microphone that detects the user's voice and facial expressions. This emotional data is analyzed by an emotion analyzer. The device then sends the search keywords, user authentication information, and emotional data as a single request data to the server using the HTTPS protocol.

[0340] The server then analyzes the received request and sends a search request to multiple information sources (cloud storage, local storage, etc.) using the appropriate API based on the search keywords. The server then integrates the search results returned from each information source and adjusts the priority of the search results based on the results of the sentiment analysis device.

[0341] The server checks the user's viewing permissions for each result in the integrated dataset. For information the user does not have permission to view, it collects contact information for authorized individuals and a permission request template and provides them to the user. Additionally, an emotion analyzer collects the user's past emotional patterns and provides personalized search results.

[0342] Finally, the device analyzes the search results received from the server and displays them to the user in a visually easy-to-understand format. Search results are displayed in a list format, with links to each result provided. Related information is also displayed at the same time, allowing the user to quickly access the information they need.

[0343] Specific examples

[0344] For example, if a user looks worried while searching for the keyword "project budget," the emotion analyzer will recognize this emotion. It will determine that the user is stressed and reprioritize search results to display information that requires immediate attention. It also displays related information useful for project management, allowing users to quickly access the information they need.

[0345] Prompt Sentence Examples

[0346] For example, you can enter the following prompts for a generative AI model:

[0347] "Please provide search results for 'project budget'. The user currently appears worried. Please also provide relevant information to help them reduce their stress."

[0348] The present invention allows users to quickly receive personalized search results according to their emotional state, and also allows efficient access to authorized information, significantly improving work efficiency.

[0349] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0350] Step 1:

[0351] The user enters search keywords into the device's search bar and presses the search button.

[0352] Input: Search keyword

[0353] Specific operation: A user enters the search keyword "project budget" into the device's search bar. The device's camera and microphone are activated to collect the user's facial expressions and voice.

[0354] Step 2:

[0355] The device sends a search request to the server.

[0356] Input: Search keywords, user authentication information, facial expressions and voice data

[0357] How it works: The device packages search keywords, user authentication information, and collected emotion data together and sends them to the server using the HTTPS protocol. The communication is encrypted.

[0358] Step 3:

[0359] The server receives and parses the request.

[0360] Input: Search keywords, user credentials, emotional data

[0361] Specific operation: The server receives the request and analyzes the search keywords and user authentication information. The emotion analyzer analyzes the emotional data and understands the user's emotional state. After analyzing the request, it obtains a list of accessible information sources based on the user's authentication information.

[0362] Step 4:

[0363] The server initiates a search for each information source.

[0364] Input: Search keywords, list of information sources

[0365] Specific operation: The server sends a search request based on the search keyword to the identified information sources using the appropriate API. It also sends a request to collect data from each information source.

[0366] Step 5:

[0367] The server receives and organizes the search results.

[0368] Input: Search results from each information source

[0369] Specific operation: The server receives search results returned from each information source and integrates them into a single dataset. At the same time, it adjusts the priority of search results based on the sentiment analysis device. Then, it organizes the integrated search results.

[0370] Step 6:

[0371] The server checks the permissions.

[0372] Input: Integrated search results, user permission information

[0373] Specific operation: The server checks the user's viewing permissions for each result in the integrated dataset. It checks whether each result is accessible to the user and distinguishes between viewable and inaccessible data.

[0374] Step 7:

[0375] The server provides support for permissions.

[0376] Input: Search results you do not have permission to view

[0377] Specific operation: For information that the user does not have permission to view, the server collects contact information of the person who has permission and a permission application template, and provides this to the user.

[0378] Step 8:

[0379] The server collects emotional data and provides personalized search results.

[0380] Input: User emotion data, past emotion patterns

[0381] How it works: The emotion analyzer collects user emotional data and personalizes search results based on past emotional patterns, resulting in optimized search results that take into account the user's past history and emotional state.

[0382] Step 9:

[0383] Your device will display the search results.

[0384] Input: Search results received from the server

[0385] Specific operation: The device analyzes the search results received from the server and displays them to the user in a visually easy-to-understand format. Search results are displayed in a list format, with links to each result and related information.

[0386] (Application example 2)

[0387] 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."

[0388] Conventional information search systems do not take the user's emotions into account, making it difficult to provide information that is optimal for the user's current mental state. Furthermore, organizing search results and verifying user access permissions takes time, reducing the efficiency of information retrieval. Improving the user experience is particularly challenging for content delivery services, which require personalized information based on emotions.

[0389] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the emotional state of the user using an emotion analysis engine and changing the priority of search results based on the result, means for collecting related information together with the search results and providing the same to the user, and means for the terminal to display the search results and related information to the user. This makes it possible to provide optimal information according to the emotional state of the user.

[0390] A "terminal" is a computing device used by a user to enter search keywords and display search results. Examples of such devices include smartphones, tablets, and personal computers.

[0391] A "search keyword" is a character string or phrase that a user inputs into a terminal to obtain information.

[0392] "Authentication information" refers to data that a user uses to verify their identity and access rights, such as a user ID and password.

[0393] A "server" is a computer system that receives search keywords and authentication information sent from a terminal, obtains search results from multiple information sources, and performs processing.

[0394] An "information source" is a data repository such as a database, cloud storage, or email server that the server searches.

[0395] "Search results" are a collection of information that the server retrieves from information sources based on the search keywords.

[0396] "Access rights" are data that indicate a user's permissions and entitlements to access specific information.

[0397] An "emotion analysis engine" is software and algorithms that analyze emotional data such as a user's facial expressions and voice, and estimate their emotional state.

[0398] "Emotional state" is information that indicates the user's current psychological and emotional state, such as happiness, sadness, anger, etc.

[0399] "Personalized" refers to a method of providing services and information that are optimized according to the characteristics, preferences, and emotional state of each individual user.

[0400] "Related information" refers to supplementary information related to search results, and is data that allows users to smoothly access the information they need. For example, related papers and supplementary materials.

[0401] The present invention is a system for content distribution services that analyzes user emotions and changes the priority of search results and recommended content based on the analysis. This system is composed of a terminal, a server, an emotion analysis engine, and multiple information sources. The specific system configuration and processing procedures are described in detail below.

[0402] System Configuration

[0403] Terminal

[0404] A device used by users to input search keywords. Examples include smartphones, tablets, and personal computers. These devices are equipped with cameras and microphones, which can collect emotional data from the user's facial expressions and voice.

[0405] server

[0406] It is a computer system that receives search keywords, authentication information, and emotion data sent from the device, and retrieves and organizes search results from multiple sources. The server includes functions for search processing, emotion analysis, and personalized content recommendation.

[0407] Sentiment Analysis Engine

[0408] Facial expression recognition is performed using libraries such as OpenCV, and DSP (Digital Signal Processing) technology is also used to analyze voice data. This allows the user's emotional state to be analyzed in real time and the data to be sent to the server.

[0409] source of information

[0410] A data repository against which a server performs searches, such as cloud storage, a database, or an email server.

[0411] Processing Flow

[0412] Enter and submit search keywords

[0413] The user enters search keywords into the device's search bar. The device's camera and microphone capture the user's facial expressions and voice, which are then analyzed by the emotion analysis engine. The resulting emotion data, search keywords, and authentication information are then sent to the server as a single request.

[0414] Obtaining and analyzing search results

[0415] The server analyzes the received request and retrieves search results from multiple sources based on the user's emotional state. The search results are first reprioritized through a sentiment analysis engine.

[0416] Collecting and organizing relevant information

[0417] The server then organizes the search results and sends them to the device. The related information includes supplementary data related to the information the user is looking for, enriching the user's search experience.

[0418] View search results and related information

[0419] The terminal visually displays the search results and related information received from the server to the user. The list of search results includes links to each result, and related information is also displayed simultaneously for easy access by the user.

[0420] Specific examples

[0421] For example, if a user searches for "latest comedy movies" and looks sad, the system will recognize that emotion and prioritize recommendations for uplifting comedy movies. Related information will also be displayed, including interviews with popular comedic actors and related videos.

[0422] Prompt Sentence Examples

[0423] Below is an example prompt that indicates the user's emotion is "sad":

[0424] USER_PROMPT: "I want to watch the latest fun movie. I'm feeling down and need some cheering."

[0425] In this way, a concrete system is provided for analyzing a user's emotional state in real time and recommending optimal content based on the analysis, which can provide a more satisfying search experience for the user.

[0426] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0427] Step 1:

[0428] A user enters a search keyword into the device's search bar. The device uses a camera and microphone to collect emotional data from the user's facial expressions and voice. The emotion analysis engine processes this data and analyzes the user's emotional state.

[0429] Input: Search keywords, user facial expression data, voice data

[0430] Processing: Search keywords are retained, and facial expression and voice data are analyzed by an emotion analysis engine to extract emotional states.

[0431] Output: Search keywords, emotional state

[0432] Step 2:

[0433] The device packages search keywords, authentication information, and emotional state into a single request and sends it to the server using the HTTPS protocol.

[0434] Input: Search keywords, emotional state, credentials

[0435] Processing: Package these data into a single request

[0436] Output: Packaged request (search keywords, emotional state, authentication information)

[0437] Step 3:

[0438] The server analyzes the received request and sends a search request to multiple sources based on the search keywords, while analyzing the emotional state and preparing to provide personalized results.

[0439] Input: Packaged request

[0440] Processing: Sending search requests to sources based on search keywords, analyzing emotional state, preparing for personalization

[0441] Output: Search results, analyzed emotional state

[0442] Step 4:

[0443] The server consolidates the search results received from the information sources, and based on the results of the sentiment analysis engine, reprioritizes the search results and places the most important results at the top.

[0444] Input: Search results from sources, emotional state

[0445] Processing: Integration of search results, prioritization based on emotional state

[0446] Output: prioritized search results

[0447] Step 5:

[0448] The server organizes and repackages the prioritized search results and related information for delivery to the user.

[0449] Input: prioritized search results, related information

[0450] Processing: Organizing search results and related information, repackaging results

[0451] Output: Repackaged search results and related information

[0452] Step 6:

[0453] The repackaged results are sent to the device, which receives them and visually displays them to the user, providing personalized information based on the user's emotional state.

[0454] Input: Repackaged search results and related information

[0455] Processing: Sending the results to the terminal and preparing them for display

[0456] Output: Search results and related information visually displayed to the user

[0457] In this way, the system proceeds step by step, performing specific data processing and calculations at each step, ultimately providing the user with personalized search results based on their emotions.

[0458] 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.

[0459] 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.

[0460] 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.

[0461] [Second embodiment]

[0462] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0463] 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.

[0464] 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).

[0465] 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.

[0466] 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.

[0467] 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).

[0468] 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.

[0469] 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.

[0470] 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.

[0471] 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.

[0472] 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.

[0473] 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."

[0474] This system helps users quickly search for information and obtain the relevant information they need. When a user enters search keywords on their terminal and presses the search button, the server executes a search across multiple information sources and provides the results to the user. It also supports how users obtain viewing permissions for information that requires viewing permissions.

[0475] System Program Processing

[0476] 1. User enters search keywords:

[0477] The user enters search keywords into the device's search bar and presses the search button, which activates the search query.

[0478] 2. The device sends a search request to the server:

[0479] The device sends the entered search keywords and user authentication information to the server as a single request. The information is encrypted because it is sent using the HTTPS protocol.

[0480] 3. The server receives and parses the request:

[0481] The server receives the request, analyzes the search keywords and authentication information, and then identifies accessible information sources based on the user's authentication information.

[0482] 4. The server initiates a search for each information source:

[0483] The server sends a search request to the identified information sources (e.g., cloud storage service, email service, local storage, etc.) using the appropriate API. A search is performed in each information source.

[0484] 5. The server receives and organizes the search results:

[0485] The search results from each information source are sent back to the server, which aggregates the results and extracts the metadata for each result (file name, creation date, file type, etc.).

[0486] 6. The server checks the permissions:

[0487] For each item in the search results, the server checks whether the user has permission to view it, and if not, the information is not provided directly to the user.

[0488] 7. Server supports permissions:

[0489] If the user does not have permission to view the information they wish to view, the server provides a way for them to request permission, including contact information for the person with permission and a request template.

[0490] 8. The server organizes the search results with relevant information:

[0491] The server also collects related information (e.g., related emails, spreadsheets, etc.) and structures it into a single package along with the search results.

[0492] 9. Your device will display the search results:

[0493] The terminal analyzes the search results received from the server and displays them to the user in a format that is easy for the user to view, and allows easy access to the related information they need.

[0494] Specific examples

[0495] For example, if a user searches for the keyword "project budget," the system will operate as follows:

[0496] 1. The user enters "project budget" and presses the search button.

[0497] 2. The device sends the "project budget" and user ID to the server.

[0498] 3. The server analyzes the received search keywords and verifies the user's authentication information.

[0499] 4. The server searches for information related to "Project Budget" from cloud storage, email services, local storage, etc.

[0500] 5. The server consolidates the search results returned from each information source and organizes the metadata.

[0501] 6. The server checks the access rights for this information and provides access request support if necessary.

[0502] 7. The server also collects and organizes related information (e.g., related email correspondence, spreadsheets).

[0503] 8. The device displays search results and related information to the user, allowing the user to quickly access the information they need.

[0504] The present invention not only enables users to quickly obtain necessary information from multiple information sources, but also allows users to smoothly retrieve related information. Furthermore, it also enables efficient handling of information that requires viewing authorization, thereby significantly improving work efficiency.

[0505] The processing flow will be explained below.

[0506] Step 1:

[0507] The user enters search keywords into the device's search bar and presses the search button. This action causes the device to temporarily store the search keywords and authentication information entered by the user.

[0508] Step 2:

[0509] The device packages the search keywords and the user's authentication information into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted, so the information is sent securely.

[0510] Step 3:

[0511] The server receives the request, analyzes the search keywords and user authentication information, verifies whether the user authentication information is valid, and obtains a list of information sources that the user can access.

[0512] Step 4:

[0513] The server sends a search request based on the search keywords to the identified information sources, which may include cloud storage services, email services, local storage, etc. The server calls the appropriate API for each information source.

[0514] Step 5:

[0515] Each information source receives a search request, searches for the relevant data, and returns the results to the server, which receives the search results from multiple information sources and combines them into a single dataset.

[0516] Step 6:

[0517] The server checks the user's viewing permissions for each result in the integrated dataset. For each result, it compares the user's permission information and distinguishes between results that are viewable and those that are not.

[0518] Step 7:

[0519] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[0520] Step 8:

[0521] After the server verifies viewing permissions, it organizes the search results and related information (e.g., related emails, spreadsheets, meeting minutes, etc.) and structures them into a package that is easily accessible to the user.

[0522] Step 9:

[0523] The device analyzes the package received from the server and displays it in a visually easy-to-understand format for the user. Search results are displayed in a list format, with links to each result provided. In addition, related information is displayed at the same time, allowing users to smoothly access the information they need.

[0524] Step 10:

[0525] Users can operate their devices to view search results and related information, and open or download information as needed. For information that requires viewing permission, users can apply for permission through their devices.

[0526] These are the specific steps of the system's program processing, which allows users to quickly obtain the information they need from a variety of information sources and efficiently use related information.

[0527] Example 1

[0528] 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."

[0529] In conventional search systems, it is difficult for users to efficiently obtain necessary information from multiple data sources. Furthermore, if a user does not have permission to view information included in search results, the procedures for using that information are cumbersome, resulting in reduced work efficiency. The present invention aims to solve these problems and provide a system that allows users to quickly and efficiently obtain necessary information and related information.

[0530] 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.

[0531] In this invention, the server includes means for transmitting search keywords and authentication information to multiple data sources, means for receiving search results from each data source and creating a list, means for confirming viewing authority for the search results, means for supporting acquisition of viewing authority for information for which the user does not have viewing authority, and means for organizing related information and transmitting it to the user information processing device, thereby enabling the user to quickly obtain the information they need and efficiently access information for which they do not have viewing authority.

[0532] A "user information processing device" is a terminal device that allows a user to input and view information, and includes a personal computer, a smartphone, a tablet, and the like.

[0533] "Search keywords" are words or phrases that a user enters to search for specific information.

[0534] "Authentication information" is information used to prove that a user has specific authority, and includes a user ID, password, and the like.

[0535] A "server" is a computer system that processes requests sent from user information processing devices, obtains necessary information from multiple data sources, integrates it, and sends it.

[0536] A "data source" is a database or storage system that a server uses to execute a search query, including cloud storage, local databases, online services, and the like.

[0537] "Search results" are information retrieved from data sources based on search keywords entered by a user.

[0538] "Viewing authority" refers to the right of a user to access and view specific information.

[0539] "Authority acquisition support" is a function that supports the procedure for a user to obtain access to information that the user does not have permission to view.

[0540] "Related information" is additional information provided with search results, including emails, documents, reports, etc. related to the search keywords.

[0541] The present invention is a search system that allows users to quickly and efficiently obtain the information they need from multiple data sources and provides related information in an integrated manner. The program processing of this system will be explained below in natural language.

[0542] Hardware and Software Configuration

[0543] The system consists of the following main components:

[0544] 1. User information processing device:

[0545] This includes terminal devices such as personal computers, smartphones, and tablets.

[0546] 2. Server:

[0547] A computer system that processes search requests and aggregates and transmits data.

[0548] 3. Data Source:

[0549] This includes cloud storage (e.g., Amazon S3, Google Drive), local databases, online services, etc.

[0550] 4. Communication Protocol:

[0551] By using the HTTPS protocol, data transmission is encrypted.

[0552] Data processing and calculation

[0553] 1. User information processing device:

[0554] A search request is activated by entering search keywords in the search bar and pressing the search button. Let's take a specific example where a user enters the keyword "project budget."

[0555] 2. Terminal processing:

[0556] The entered search keyword (project budget) and authentication information (e.g., user123) are sent to the server using the HTTPS protocol.

[0557] 3. Server processing:

[0558] The server receives the request, parses it, and then identifies accessible data sources based on the user's credentials.

[0559] The server sends a search request using an API to the specified data source (e.g., Amazon S3, Google Drive, local database) to find data related to "project budget."

[0560] The search results from each data source are integrated and metadata (file name, creation date, file type, etc.) is organized.

[0561] For each item in the search results, the system checks the user's viewing permissions. If the user does not have viewing permissions, this information will not be provided to the user, but contact information and an application template will be generated to help them obtain the permissions.

[0562] Collect search results along with related information (e.g. related emails and spreadsheets) and structure them into a single package.

[0563] 4. Reply to user information processing device:

[0564] The server transmits the structured search results and related information to the user's information processing device.

[0565] The user information processing device analyzes the received data and displays it in a format that is easy for the user to view.

[0566] Adding specific examples

[0567] For example, if a user searches for the keyword "project budget," the system will operate as follows:

[0568] 1. User enters "Project Budget" and presses the search button

[0569] 2. The device sends the "project budget" and user ID to the server.

[0570] 3. The server analyzes the received search keywords and checks the user's authentication information

[0571] 4. The server searches for information related to "Project Budget" from cloud storage, email services, local storage, etc.

[0572] 5. The server consolidates the search results returned from each data source and organizes the metadata.

[0573] 6. The server checks the access rights to this information and provides support for requesting access rights if necessary.

[0574] 7. The server also collects and organizes related information (e.g., related email correspondence, spreadsheets)

[0575] 8. The device displays the search results and related information to the user.

[0576] Prompt Sentence Examples

[0577] Examples of prompts to input to a generative AI model include:

[0578] Please explain in natural language the steps a system takes to search for information about "project budget," gather relevant information from multiple sources such as cloud storage, email, and local files, and display it to the user.

[0579] This specification shows specific implementation methods of the present invention, thereby enabling other skilled persons to accurately understand and implement the invention.

[0580] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0581] Step 1:

[0582] The user enters search keywords

[0583] The user enters a search keyword into the device's search bar and presses the search button, for example, "project budget," which generates a search request.

[0584] Input: Search keyword "project budget"

[0585] Output: Search request activated

[0586] Specific operations: The user operates the device interface, enters keywords in the search bar, and clicks the "search button."

[0587] Step 2:

[0588] The device sends a search request to the server

[0589] The device acquires the search keywords and authentication information entered by the user and sends them to the server using the HTTPS protocol. For example, it sends "project budget" and the user ID "user123."

[0590] Input: Search keyword "project budget", User ID "user123"

[0591] Output: Sending an encrypted search request over HTTPS protocol

[0592] Specific operation: The device internally packages the search keywords and user ID and sends them to the server via the HTTPS protocol.

[0593] Step 3:

[0594] The server receives and parses the request

[0595] The server receives the request sent from the device, analyzes the search keywords and authentication information, and identifies the data sources that the user can access.

[0596] Input: Search request (search keyword "project budget", user ID "user123")

[0597] Output: Analysis results (list of accessible data sources)

[0598] Specific operation: The server analyzes the received request and identifies the data sources that can be accessed based on the user's authentication information.

[0599] Step 4:

[0600] The server initiates a search for each data source

[0601] The server sends a search request using the appropriate API to the identified data source (e.g., cloud storage, local database, etc.) The server searches each data source for data related to "project budget."

[0602] Input: Analysis results (list of accessible data sources), search keyword "project budget"

[0603] Output: Search results from each data source

[0604] Specific operation: The server sends a request to retrieve data related to "Project Budget" using the Amazon S3 API, Google Drive API, or local storage access engine.

[0605] Step 5:

[0606] The server receives and organizes the search results

[0607] The server receives the search results returned from each data source, consolidates and organizes them, extracting metadata (file name, creation date, file type, etc.) and creating a centralized list.

[0608] Input: Search results from each data source

[0609] Output: Consolidated search results list

[0610] What it does: The server receives data from Amazon S3, Google Drive, and local storage, extracts metadata such as file name, creation date, and file type, and organizes it.

[0611] Step 6:

[0612] The server checks the permissions

[0613] The server checks the user's viewing permissions for each item in the search results. If the user does not have the viewing permissions, the information is not provided to the user.

[0614] Input: Unified search results list

[0615] Output: Search result list with confirmed viewing permissions

[0616] Specific operation: The server checks the user's viewing permissions for the consolidated search result list and removes unauthorized data from the list.

[0617] Step 7:

[0618] Server supports permissions

[0619] For information that a user wishes to view but does not have permission to view, the server provides a way for the user to request permission, including contact information for the person with permission and a request template.

[0620] Input: Information you do not have permission to view

[0621] Output: Support information for permission requests (contact information, request template)

[0622] Specific operation: For information that the server does not have permission to view, it generates and provides contact information and an application template for the authorized person.

[0623] Step 8:

[0624] The server organizes the search results with relevant information

[0625] The server collects related information (e.g., related emails and spreadsheets) along with the search results and structures them into a single package.

[0626] Input: Permission-checked search results list, related information

[0627] Output: A structured search result package

[0628] What it does: The server organizes relevant information, such as emails and spreadsheets, along with search results, and assembles them into a single package.

[0629] Step 9:

[0630] Your device will display the search results.

[0631] The terminal analyzes the search results received from the server and displays them in a user-friendly format, allowing the user to quickly access the search results and related information.

[0632] Input: Structured search result package

[0633] Output: Search results and related information displayed to the user

[0634] Specific operation: The terminal analyzes the search result package received from the server and displays it on the user interface.

[0635] (Application example 1)

[0636] 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."

[0637] In factories and manufacturing sites, the ability of workers to quickly obtain the information they need from multiple data and information sources significantly affects work efficiency. With conventional systems, information searches and viewing authorization checks are performed separately, which means it takes time to obtain information and there is a risk that necessary related information may be overlooked. Furthermore, there is a lack of systems in place to recognize voice commands and support the acquisition of unauthorized information, which reduces on-site efficiency. A system that can solve these problems is needed.

[0638] 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.

[0639] In this invention, the server includes means for inputting search keywords from a terminal, means for transmitting the search keywords and authentication information to the server, means for the server to obtain search results from multiple information sources, means for the server to confirm the user's viewing authority in the search results, means for the server to support the user's viewing authority, means for the server to organize the search results and related information and transmit them to the terminal, means for the terminal to display the search results and related information to the user, means for converting the search keywords into text using a voice recognition engine, means for automatically generating and providing an authority application template, and means for the work support robot to connect to the terminal and notify the terminal of the search results. This makes it possible to improve work efficiency and quickly obtain necessary related information.

[0640] A "terminal" is a device through which a user inputs search keywords and obtains information.

[0641] "Search keywords" are words or phrases that a user enters to search for specific information.

[0642] "Authentication Information" means the authentication means required for a user to access the system, including a user ID and password.

[0643] A "server" is a computer system that retrieves search results from multiple information sources and processes user search queries.

[0644] An "information source" is a location or system where data or information is stored, including cloud storage, email services, local databases, etc.

[0645] "Search results" are data and information retrieved from information sources based on search keywords.

[0646] "Viewing authority" is the right that a user has to access and view specific information.

[0647] An "authority request template" is a fixed phrase used when a user requests permission to view information that the user requires.

[0648] A "voice recognition engine" is software or hardware for converting voice commands into text data.

[0649] A "work support robot" is a robot that supports the work of workers in factories and manufacturing sites.

[0650] "Related Information" is supplemental data or information related to a search query that is provided with search results.

[0651] This invention is a system for improving the efficiency of information search and management of viewing authority in factories and manufacturing sites, and uses work support robots to enable workers to quickly obtain the information they need. This system allows for a continuous process from entering search keywords to obtaining related information, dramatically improving work efficiency.

[0652] System configuration

[0653] The system consists of the following main components:

[0654] 1. Terminal: A device through which users input search keywords and obtain information. This includes smartphones, smart glasses, head-mounted displays, etc.

[0655] 2. Server: A computer system that retrieves search results from multiple information sources and processes the user's search query. The specific server used can be a cloud server or a local server.

[0656] 3. Information Source: The location or system where data or information is stored, such as cloud storage, email services, or local databases.

[0657] 4. Speech recognition engine: Software or hardware that converts voice commands into text data, such as the Google Speech-to-Text API or Amazon Transcribe.

[0658] 5. Work support robot: A robot that supports workers in their work. It connects to the user's device and provides necessary information.

[0659] System Operation

[0660] 1. Speech Recognition:

[0661] The user issues a voice command such as "Show me the instruction manual for part X."

[0662] A voice recognition engine converts the voice command into text data.

[0663] 2. Submit a search request:

[0664] The device sends the entered search keyword (text data) and authentication information to the server. The communication uses the HTTPS protocol to ensure security.

[0665] 3. Search process:

[0666] The server sends a search request using search keywords to multiple information sources, and API requests are made to cloud storage, email services, and local databases.

[0667] 4. Search Results Integration:

[0668] The server consolidates the search results received from each information source, extracts metadata (file name, creation date, file type, etc.), and organizes them.

[0669] 5. Viewing permission verification and support:

[0670] The server checks the user's viewing rights for each search result. If the user does not have the viewing rights, it automatically generates and provides a permission request template and the contact information of the person with the permission.

[0671] 6. Displaying search results and related information:

[0672] The server sends the search results along with related information to the terminal, which then displays the processed data in an easy-to-read format for the user and provides an authorization link if necessary.

[0673] Specific examples

[0674] For example, when a worker searches for "the instruction manual for part X," the following steps are taken:

[0675] The user issues a voice command such as, "Show me the instruction manual for part X."

[0676] The speech recognition engine converts this speech into text data and sends it to the server.

[0677] The server searches for the required information from multiple information sources and integrates the results.

[0678] For information you do not have permission to view, we will provide you with a template and contact information for requesting permission.

[0679] The work support robot notifies the terminal of search results, helping the user to quickly obtain information.

[0680] Prompt Sentence Examples

[0681] The following prompt sentences can be used:

[0682] "Show me the instruction manual for part X"

[0683] This invention allows workers to quickly obtain the information they need at a factory or manufacturing site, thereby improving work efficiency and accuracy.

[0684] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0685] Step 1:

[0686] The user inputs a voice command. The user says, "Show me the instruction manual for part X." The input at this point is the user's voice data. The output is sent to the speech recognition engine.

[0687] Step 2:

[0688] A speech recognition engine converts speech into text. A speech recognition engine (for example, Google Speech-to-Text API) receives speech data and converts it into text data. Specifically, the speech data undergoes acoustic signal processing and natural language processing to be converted into text data such as "Show me the instruction manual for part X." The input is speech data, and the output is text data.

[0689] Step 3:

[0690] The device sends a search request to the server. The device encrypts the text data (search keywords) obtained from the voice recognition engine and the user's authentication information using the HTTPS protocol and sends them to the server. The input is the text data and authentication information, and the output is the request sent to the server.

[0691] Step 4:

[0692] The server receives the request and analyzes the search keywords. The server analyzes the search keywords and authentication information from the received request and identifies the information sources that the user can access. Specifically, it analyzes the search keywords and understands their vocabulary and syntax using a parser. The input is the search keywords and authentication information, and the output is a list of accessible information sources.

[0693] Step 5:

[0694] The server sends a search query to the information source. The server makes a search request to the identified information source (cloud storage, email service, local database, etc.) using the appropriate API. The input is a list of information sources and search keywords, and the output is the search results obtained from each information source.

[0695] Step 6:

[0696] The server integrates the search results and extracts metadata. The server receives and integrates the search results obtained from each information source. It also extracts metadata (file name, creation date, file type, etc.) for each search result. The input is the search results from each information source, and the output is the integrated search results and metadata.

[0697] Step 7:

[0698] The server checks the viewing permissions. The server checks whether the user has permission to view each item in the integrated search results. If the user does not have permission, the server does not provide the item directly to the user, but also generates a template and contact information for permission request. The input is the integrated search results and the user's authentication information, and the output is the permission-confirmed search results and permission request information.

[0699] Step 8:

[0700] The server organizes the search results and related information and sends them to the terminal. The server organizes the authorized search results and related information into a package and sends it to the terminal. The input is the authorized search results and related information, and the output is the package sent to the terminal.

[0701] Step 9:

[0702] The terminal displays the search results and related information to the user. The terminal analyzes the package received from the server and displays the search results and related information in an easy-to-read format for the user. It also provides an authorization link if necessary. The input is the package data from the server, and the output is the information displayed to the user.

[0703] Through the above processing steps, users can quickly and efficiently obtain the information they need at the factory or manufacturing site.

[0704] 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.

[0705] The present invention is an information retrieval system incorporating an emotion engine that recognizes user emotions. When a user inputs search keywords from a terminal and presses a search button, the server executes a search across multiple information sources and provides the results to the user. It also supports the user in obtaining viewing authority for information that requires it. The system of the present invention uses the emotion engine to analyze the user's emotions, and based on that, it rearranges the priority of search results, makes suggestions in real time, and provides personalized search results.

[0706] System Program Processing

[0707] 1. User enters search keywords:

[0708] When a user enters search keywords into the device's search bar and presses the search button, the device detects the user's voice and facial expressions, and prepares the emotion engine to analyze them.

[0709] 2. The device sends a search request to the server:

[0710] The device packages the entered search keywords, user authentication information, and emotion data into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted, so the information is transmitted securely.

[0711] 3. The server receives and parses the request:

[0712] The server receives the request, analyzes the search keywords and the user's authentication information, and also analyzes the emotion data provided by the emotion engine to understand the user's current emotional state. After analysis, it obtains a list of accessible information sources based on the user's authentication information.

[0713] 4. The server initiates a search for each information source:

[0714] The server sends a search request based on the search keywords to the identified information sources, which may include cloud storage services, email services, local storage, etc. The server calls the appropriate API for each information source.

[0715] 5. The server receives and organizes the search results:

[0716] Each information source receives a search request, searches for the relevant data, and returns the results to the server. The server receives search results from multiple information sources, integrates them into a single dataset, and adjusts the priority of search results based on an emotion engine.

[0717] 6. The server checks the permissions:

[0718] The server checks the user's viewing permissions for each result in the integrated dataset. For each result, it compares the user's permission information and distinguishes between results that are viewable and those that are not.

[0719] 7. Server supports permissions:

[0720] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[0721] 8. The server collects emotional data and provides personalized search results:

[0722] The emotion engine collects user emotional data and personalizes search results based on past emotional patterns, providing search results optimized for the user's past emotional history.

[0723] 9. Your device will display the search results:

[0724] The device analyzes the package received from the server and displays it in a visually easy-to-understand format for the user. Search results are displayed in a list format, with links to each result provided. In addition, related information is displayed at the same time, allowing users to smoothly access the information they need.

[0725] Specific examples

[0726] For example, if a user searches for the keyword "project budget" and looks worried, the system will recognize that emotion. The emotion engine will determine that the user is stressed and will change the priorities to display information that needs immediate attention. It will also display related information that is useful for project management, allowing users to quickly access the information they need.

[0727] The present invention not only enables users to quickly obtain necessary information from various information sources, but also enables them to efficiently use related information. Furthermore, personalized search results that take into account the user's feelings are provided, further improving the search experience. Furthermore, the present invention also enables efficient handling of information that requires viewing authorization, significantly improving work efficiency.

[0728] The processing flow will be explained below.

[0729] Step 1:

[0730] The user enters search keywords into the search bar of the device and presses the search button. This operation causes the device to acquire the search keywords.

[0731] Step 2:

[0732] The device detects the user's voice and facial expressions, and the emotion engine prepares to analyze them. The emotion engine collects and analyzes the user's emotional data to determine their real-time emotional state.

[0733] Step 3:

[0734] The device packages the search keywords, user authentication information, and emotion data into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted and therefore secure.

[0735] Step 4:

[0736] The server receives the request, analyzes the search keywords and user authentication information, verifies whether the user authentication information is valid, and obtains a list of information sources that the user can access.

[0737] Step 5:

[0738] The server analyzes the emotional data and uses it to understand the user's current emotional state. The emotion engine determines, for example, whether the user is feeling stressed or anxious.

[0739] Step 6:

[0740] The server sends a search request based on the search keywords to the identified information sources, calling the appropriate API for each information source, such as cloud storage, email service, or local storage.

[0741] Step 7:

[0742] Each information source receives a search request, searches for the relevant data, and returns the results to the server, which receives the search results from multiple information sources and combines them into a single dataset.

[0743] Step 8:

[0744] The server checks the user's viewing permissions for each result in the integrated dataset, and distinguishes between data the user has permission to view and data they do not.

[0745] Step 9:

[0746] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[0747] Step 10:

[0748] The server adjusts the priority of search results based on the emotion data. For example, if the user feels urgent, it adjusts the display to show information with a high degree of urgency.

[0749] Step 11:

[0750] The server organizes and structures the search results and related information, including personalized search results based on an emotion engine.

[0751] Step 12:

[0752] The device analyzes the package received from the server and displays it in a visually easy-to-understand format to the user. Search results are displayed in a list format with links to each result, along with related information and instructions for requesting authorization.

[0753] Step 13:

[0754] Users can operate their devices to view search results and related information, and open or download the information as needed. Furthermore, for information that requires viewing permission, they can apply for permission through their devices.

[0755] Step 14:

[0756] When a user actually uses information, the system accumulates emotional data about the user and uses it to personalize future search results.

[0757] These are the specific processing steps of a system incorporating an emotion engine, which allows users to quickly and efficiently access the information they need and provides them with an optimal information experience that matches their emotions at the time.

[0758] Example 2

[0759] 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."

[0760] Conventional information search systems present search results without considering the user's emotional state, which can prevent users from quickly accessing the information they need. Furthermore, because access to unauthorized information is limited, users often waste time accessing the information they need. This reduces user convenience and hinders work efficiency.

[0761] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0762] In this invention, the server includes a means for an emotion analysis device to analyze a user's emotional state and adjust the priority of search results, a means for collecting the user's emotional data and personalizing the search results based on past emotional patterns, and a means for providing contact information of an authorized person and an application template for information in the search results that the user does not have permission to view. This makes it possible to provide personalized search results that take the user's emotional state into consideration, enabling quick access to necessary information. Furthermore, by providing an efficient method for accessing information that requires permission, the user's work efficiency is significantly improved.

[0763] "User" refers to a user who accesses and operates the system.

[0764] "Terminal" refers to an input / output device through which a user inputs search keywords and displays search results.

[0765] "Server" means the central processing unit that receives search requests and collects and organizes data from multiple sources.

[0766] A "search keyword" refers to text data that a user inputs when searching for information.

[0767] "Authentication information" is data used to verify a user's identity, and includes passwords, tokens, and the like.

[0768] "Information source" refers to a data storage location such as a database or cloud storage where the data to be searched is stored.

[0769] "Search results" refers to data retrieved from information sources that match or are related to the search keywords.

[0770] "Viewing privileges" refers to permission to access or view specific data.

[0771] "Authorized Person" means a person or organization that has access to specific information.

[0772] "Request Template" refers to a standard document used to request access rights.

[0773] An "emotion analysis device" refers to a device or software that analyzes a user's voice and facial expressions to evaluate their emotional state.

[0774] "Personalization" refers to optimizing search results based on a user's individual needs and past behavior.

[0775] The present invention is an information retrieval system that analyzes user emotions and adjusts the priority of search results. In this system, a user inputs search keywords from a terminal, a server executes a search against multiple information sources, and provides personalized search results based on the emotional data.

[0776] First, the user enters search keywords into the device's search bar and presses the search button. At this time, the device is equipped with a camera and microphone that detects the user's voice and facial expressions. This emotional data is analyzed by an emotion analyzer. The device then sends the search keywords, user authentication information, and emotional data as a single request data to the server using the HTTPS protocol.

[0777] The server then analyzes the received request and sends a search request to multiple information sources (cloud storage, local storage, etc.) using the appropriate API based on the search keywords. The server then integrates the search results returned from each information source and adjusts the priority of the search results based on the results of the sentiment analysis device.

[0778] The server checks the user's viewing permissions for each result in the integrated dataset. For information the user does not have permission to view, it collects contact information for authorized individuals and a permission request template and provides them to the user. Additionally, an emotion analyzer collects the user's past emotional patterns and provides personalized search results.

[0779] Finally, the device analyzes the search results received from the server and displays them to the user in a visually easy-to-understand format. Search results are displayed in a list format, with links to each result provided. Related information is also displayed at the same time, allowing the user to quickly access the information they need.

[0780] Specific examples

[0781] For example, if a user looks worried while searching for the keyword "project budget," the emotion analyzer will recognize this emotion. It will determine that the user is stressed and reprioritize search results to display information that requires immediate attention. It also displays related information useful for project management, allowing users to quickly access the information they need.

[0782] Prompt Sentence Examples

[0783] For example, you can enter the following prompts for a generative AI model:

[0784] "Please provide search results for 'project budget'. The user currently appears worried. Please also provide relevant information to help them reduce their stress."

[0785] The present invention allows users to quickly receive personalized search results according to their emotional state, and also allows efficient access to authorized information, significantly improving work efficiency.

[0786] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0787] Step 1:

[0788] The user enters search keywords into the device's search bar and presses the search button.

[0789] Input: Search keyword

[0790] Specific operation: A user enters the search keyword "project budget" into the device's search bar. The device's camera and microphone are activated to collect the user's facial expressions and voice.

[0791] Step 2:

[0792] The device sends a search request to the server.

[0793] Input: Search keywords, user authentication information, facial expressions and voice data

[0794] How it works: The device packages search keywords, user authentication information, and collected emotion data together and sends them to the server using the HTTPS protocol. The communication is encrypted.

[0795] Step 3:

[0796] The server receives and parses the request.

[0797] Input: Search keywords, user credentials, emotional data

[0798] Specific operation: The server receives the request and analyzes the search keywords and user authentication information. The emotion analyzer analyzes the emotional data and understands the user's emotional state. After analyzing the request, it obtains a list of accessible information sources based on the user's authentication information.

[0799] Step 4:

[0800] The server initiates a search for each information source.

[0801] Input: Search keywords, list of information sources

[0802] Specific operation: The server sends a search request based on the search keyword to the identified information sources using the appropriate API. It also sends a request to collect data from each information source.

[0803] Step 5:

[0804] The server receives and organizes the search results.

[0805] Input: Search results from each information source

[0806] Specific operation: The server receives search results returned from each information source and integrates them into a single dataset. At the same time, it adjusts the priority of search results based on the sentiment analysis device. Then, it organizes the integrated search results.

[0807] Step 6:

[0808] The server checks the permissions.

[0809] Input: Integrated search results, user permission information

[0810] Specific operation: The server checks the user's viewing permissions for each result in the integrated dataset. It checks whether each result is accessible to the user and distinguishes between viewable and inaccessible data.

[0811] Step 7:

[0812] The server provides support for permissions.

[0813] Input: Search results you do not have permission to view

[0814] Specific operation: For information that the user does not have permission to view, the server collects contact information of the person who has permission and a permission application template, and provides this to the user.

[0815] Step 8:

[0816] The server collects emotional data and provides personalized search results.

[0817] Input: User emotion data, past emotion patterns

[0818] How it works: The emotion analyzer collects user emotional data and personalizes search results based on past emotional patterns, resulting in optimized search results that take into account the user's past history and emotional state.

[0819] Step 9:

[0820] Your device will display the search results.

[0821] Input: Search results received from the server

[0822] Specific operation: The device analyzes the search results received from the server and displays them to the user in a visually easy-to-understand format. Search results are displayed in a list format, with links to each result and related information.

[0823] (Application example 2)

[0824] 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."

[0825] Conventional information search systems do not take the user's emotions into account, making it difficult to provide information that is optimal for the user's current mental state. Furthermore, organizing search results and verifying user access permissions takes time, reducing the efficiency of information retrieval. Improving the user experience is particularly challenging for content delivery services, which require personalized information based on emotions.

[0826] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the emotional state of the user using an emotion analysis engine and changing the priority of search results based on the result, means for collecting related information together with the search results and providing the same to the user, and means for the terminal to display the search results and related information to the user. This makes it possible to provide optimal information according to the emotional state of the user.

[0827] A "terminal" is a computing device used by a user to enter search keywords and display search results. Examples of such devices include smartphones, tablets, and personal computers.

[0828] A "search keyword" is a character string or phrase that a user inputs into a terminal to obtain information.

[0829] "Authentication information" refers to data that a user uses to verify their identity and access rights, such as a user ID and password.

[0830] A "server" is a computer system that receives search keywords and authentication information sent from a terminal, obtains search results from multiple information sources, and performs processing.

[0831] An "information source" is a data repository such as a database, cloud storage, or email server that the server searches.

[0832] "Search results" are a collection of information that the server retrieves from information sources based on the search keywords.

[0833] "Access rights" are data that indicate a user's permissions and entitlements to access specific information.

[0834] An "emotion analysis engine" is software and algorithms that analyze emotional data such as a user's facial expressions and voice, and estimate their emotional state.

[0835] "Emotional state" is information that indicates the user's current psychological and emotional state, such as happiness, sadness, anger, etc.

[0836] "Personalized" refers to a method of providing services and information that are optimized according to the characteristics, preferences, and emotional state of each individual user.

[0837] "Related information" refers to supplementary information related to search results, and is data that allows users to smoothly access the information they need. For example, related papers and supplementary materials.

[0838] The present invention is a system for content distribution services that analyzes user emotions and changes the priority of search results and recommended content based on the analysis. This system is composed of a terminal, a server, an emotion analysis engine, and multiple information sources. The specific system configuration and processing procedures are described in detail below.

[0839] System Configuration

[0840] Terminal

[0841] A device used by users to input search keywords. Examples include smartphones, tablets, and personal computers. These devices are equipped with cameras and microphones, which can collect emotional data from the user's facial expressions and voice.

[0842] server

[0843] It is a computer system that receives search keywords, authentication information, and emotion data sent from the device, and retrieves and organizes search results from multiple sources. The server includes functions for search processing, emotion analysis, and personalized content recommendation.

[0844] Sentiment Analysis Engine

[0845] Facial expression recognition is performed using libraries such as OpenCV, and DSP (Digital Signal Processing) technology is also used to analyze voice data. This allows the user's emotional state to be analyzed in real time and the data to be sent to the server.

[0846] source of information

[0847] A data repository against which a server performs searches, such as cloud storage, a database, or an email server.

[0848] Processing Flow

[0849] Enter and submit search keywords

[0850] The user enters search keywords into the device's search bar. The device's camera and microphone capture the user's facial expressions and voice, which are then analyzed by the emotion analysis engine. The resulting emotion data, search keywords, and authentication information are then sent to the server as a single request.

[0851] Obtaining and analyzing search results

[0852] The server analyzes the received request and retrieves search results from multiple sources based on the user's emotional state. The search results are first reprioritized through a sentiment analysis engine.

[0853] Collecting and organizing relevant information

[0854] The server then organizes the search results and sends them to the device. The related information includes supplementary data related to the information the user is looking for, enriching the user's search experience.

[0855] View search results and related information

[0856] The terminal visually displays the search results and related information received from the server to the user. The list of search results includes links to each result, and related information is also displayed simultaneously for easy access by the user.

[0857] Specific examples

[0858] For example, if a user searches for "latest comedy movies" and looks sad, the system will recognize that emotion and prioritize recommendations for uplifting comedy movies. Related information will also be displayed, including interviews with popular comedic actors and related videos.

[0859] Prompt Sentence Examples

[0860] Below is an example prompt that indicates the user's emotion is "sad":

[0861] USER_PROMPT: "I want to watch the latest fun movie. I'm feeling down and need some cheering."

[0862] In this way, a concrete system is provided for analyzing a user's emotional state in real time and recommending optimal content based on the analysis, which can provide a more satisfying search experience for the user.

[0863] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0864] Step 1:

[0865] A user enters a search keyword into the device's search bar. The device uses a camera and microphone to collect emotional data from the user's facial expressions and voice. The emotion analysis engine processes this data and analyzes the user's emotional state.

[0866] Input: Search keywords, user facial expression data, voice data

[0867] Processing: Search keywords are retained, and facial expression and voice data are analyzed by an emotion analysis engine to extract emotional states.

[0868] Output: Search keywords, emotional state

[0869] Step 2:

[0870] The device packages search keywords, authentication information, and emotional state into a single request and sends it to the server using the HTTPS protocol.

[0871] Input: Search keywords, emotional state, credentials

[0872] Processing: Package these data into a single request

[0873] Output: Packaged request (search keywords, emotional state, authentication information)

[0874] Step 3:

[0875] The server analyzes the received request and sends a search request to multiple sources based on the search keywords, while analyzing the emotional state and preparing to provide personalized results.

[0876] Input: Packaged request

[0877] Processing: Sending search requests to sources based on search keywords, analyzing emotional state, preparing for personalization

[0878] Output: Search results, analyzed emotional state

[0879] Step 4:

[0880] The server consolidates the search results received from the information sources, and based on the results of the sentiment analysis engine, reprioritizes the search results and places the most important results at the top.

[0881] Input: Search results from sources, emotional state

[0882] Processing: Integration of search results, prioritization based on emotional state

[0883] Output: prioritized search results

[0884] Step 5:

[0885] The server organizes and repackages the prioritized search results and related information for delivery to the user.

[0886] Input: prioritized search results, related information

[0887] Processing: Organizing search results and related information, repackaging results

[0888] Output: Repackaged search results and related information

[0889] Step 6:

[0890] The repackaged results are sent to the device, which receives them and visually displays them to the user, providing personalized information based on the user's emotional state.

[0891] Input: Repackaged search results and related information

[0892] Processing: Sending the results to the terminal and preparing them for display

[0893] Output: Search results and related information visually displayed to the user

[0894] In this way, the system proceeds step by step, performing specific data processing and calculations at each step, ultimately providing the user with personalized search results based on their emotions.

[0895] 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.

[0896] 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.

[0897] 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.

[0898] [Third embodiment]

[0899] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0900] 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.

[0901] 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).

[0902] 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.

[0903] 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.

[0904] 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).

[0905] 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.

[0906] 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.

[0907] 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.

[0908] 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.

[0909] 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.

[0910] 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."

[0911] This system helps users quickly search for information and obtain the relevant information they need. When a user enters search keywords on their terminal and presses the search button, the server executes a search across multiple information sources and provides the results to the user. It also supports how users obtain viewing permissions for information that requires viewing permissions.

[0912] System Program Processing

[0913] 1. User enters search keywords:

[0914] The user enters search keywords into the device's search bar and presses the search button, which activates the search query.

[0915] 2. The device sends a search request to the server:

[0916] The device sends the entered search keywords and user authentication information to the server as a single request. The information is encrypted because it is sent using the HTTPS protocol.

[0917] 3. The server receives and parses the request:

[0918] The server receives the request, analyzes the search keywords and authentication information, and then identifies accessible information sources based on the user's authentication information.

[0919] 4. The server initiates a search for each information source:

[0920] The server sends a search request to the identified information sources (e.g., cloud storage service, email service, local storage, etc.) using the appropriate API. A search is performed in each information source.

[0921] 5. The server receives and organizes the search results:

[0922] The search results from each information source are sent back to the server, which aggregates the results and extracts the metadata for each result (file name, creation date, file type, etc.).

[0923] 6. The server checks the permissions:

[0924] For each item in the search results, the server checks whether the user has permission to view it, and if not, the information is not provided directly to the user.

[0925] 7. Server supports permissions:

[0926] If the user does not have permission to view the information they wish to view, the server provides a way for them to request permission, including contact information for the person with permission and a request template.

[0927] 8. The server organizes the search results with relevant information:

[0928] The server also collects related information (e.g., related emails, spreadsheets, etc.) and structures it into a single package along with the search results.

[0929] 9. Your device will display the search results:

[0930] The terminal analyzes the search results received from the server and displays them to the user in a format that is easy for the user to view, and allows easy access to the related information they need.

[0931] Specific examples

[0932] For example, if a user searches for the keyword "project budget," the system will operate as follows:

[0933] 1. The user enters "project budget" and presses the search button.

[0934] 2. The device sends the "project budget" and user ID to the server.

[0935] 3. The server analyzes the received search keywords and verifies the user's authentication information.

[0936] 4. The server searches for information related to "Project Budget" from cloud storage, email services, local storage, etc.

[0937] 5. The server consolidates the search results returned from each information source and organizes the metadata.

[0938] 6. The server checks the access rights for this information and provides access request support if necessary.

[0939] 7. The server also collects and organizes related information (e.g., related email correspondence, spreadsheets).

[0940] 8. The device displays search results and related information to the user, allowing the user to quickly access the information they need.

[0941] The present invention not only enables users to quickly obtain necessary information from multiple information sources, but also allows users to smoothly retrieve related information. Furthermore, it also enables efficient handling of information that requires viewing authorization, thereby significantly improving work efficiency.

[0942] The processing flow will be explained below.

[0943] Step 1:

[0944] The user enters search keywords into the device's search bar and presses the search button. This action causes the device to temporarily store the search keywords and authentication information entered by the user.

[0945] Step 2:

[0946] The device packages the search keywords and the user's authentication information into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted, so the information is sent securely.

[0947] Step 3:

[0948] The server receives the request, analyzes the search keywords and user authentication information, verifies whether the user authentication information is valid, and obtains a list of information sources that the user can access.

[0949] Step 4:

[0950] The server sends a search request based on the search keywords to the identified information sources, which may include cloud storage services, email services, local storage, etc. The server calls the appropriate API for each information source.

[0951] Step 5:

[0952] Each information source receives a search request, searches for the relevant data, and returns the results to the server, which receives the search results from multiple information sources and combines them into a single dataset.

[0953] Step 6:

[0954] The server checks the user's viewing permissions for each result in the integrated dataset. For each result, it compares the user's permission information and distinguishes between results that are viewable and those that are not.

[0955] Step 7:

[0956] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[0957] Step 8:

[0958] After the server verifies viewing permissions, it organizes the search results and related information (e.g., related emails, spreadsheets, meeting minutes, etc.) and structures them into a package that is easily accessible to the user.

[0959] Step 9:

[0960] The device analyzes the package received from the server and displays it in a visually easy-to-understand format for the user. Search results are displayed in a list format, with links to each result provided. In addition, related information is displayed at the same time, allowing users to smoothly access the information they need.

[0961] Step 10:

[0962] Users can operate their devices to view search results and related information, and open or download information as needed. For information that requires viewing permission, users can apply for permission through their devices.

[0963] These are the specific steps of the system's program processing, which allows users to quickly obtain the information they need from a variety of information sources and efficiently use related information.

[0964] Example 1

[0965] 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."

[0966] In conventional search systems, it is difficult for users to efficiently obtain necessary information from multiple data sources. Furthermore, if a user does not have permission to view information included in search results, the procedures for using that information are cumbersome, resulting in reduced work efficiency. The present invention aims to solve these problems and provide a system that allows users to quickly and efficiently obtain necessary information and related information.

[0967] 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.

[0968] In this invention, the server includes means for transmitting search keywords and authentication information to multiple data sources, means for receiving search results from each data source and creating a list, means for confirming viewing authority for the search results, means for supporting acquisition of viewing authority for information for which the user does not have viewing authority, and means for organizing related information and transmitting it to the user information processing device, thereby enabling the user to quickly obtain the information they need and efficiently access information for which they do not have viewing authority.

[0969] A "user information processing device" is a terminal device that allows a user to input and view information, and includes a personal computer, a smartphone, a tablet, and the like.

[0970] "Search keywords" are words or phrases that a user enters to search for specific information.

[0971] "Authentication information" is information used to prove that a user has specific authority, and includes a user ID, password, and the like.

[0972] A "server" is a computer system that processes requests sent from user information processing devices, obtains necessary information from multiple data sources, integrates it, and sends it.

[0973] A "data source" is a database or storage system that a server uses to execute a search query, including cloud storage, local databases, online services, and the like.

[0974] "Search results" are information retrieved from data sources based on search keywords entered by a user.

[0975] "Viewing authority" refers to the right of a user to access and view specific information.

[0976] "Authority acquisition support" is a function that supports the procedure for a user to obtain access to information that the user does not have permission to view.

[0977] "Related information" is additional information provided with search results, including emails, documents, reports, etc. related to the search keywords.

[0978] The present invention is a search system that allows users to quickly and efficiently obtain the information they need from multiple data sources and provides related information in an integrated manner. The program processing of this system will be explained below in natural language.

[0979] Hardware and Software Configuration

[0980] The system consists of the following main components:

[0981] 1. User information processing device:

[0982] This includes terminal devices such as personal computers, smartphones, and tablets.

[0983] 2. Server:

[0984] A computer system that processes search requests and aggregates and transmits data.

[0985] 3. Data Source:

[0986] This includes cloud storage (e.g., Amazon S3, Google Drive), local databases, online services, etc.

[0987] 4. Communication Protocol:

[0988] By using the HTTPS protocol, data transmission is encrypted.

[0989] Data processing and calculation

[0990] 1. User information processing device:

[0991] A search request is activated by entering search keywords in the search bar and pressing the search button. Let's take a specific example where a user enters the keyword "project budget."

[0992] 2. Terminal processing:

[0993] The entered search keyword (project budget) and authentication information (e.g., user123) are sent to the server using the HTTPS protocol.

[0994] 3. Server processing:

[0995] The server receives the request, parses it, and then identifies accessible data sources based on the user's credentials.

[0996] The server sends a search request using an API to the specified data source (e.g., Amazon S3, Google Drive, local database) to find data related to "project budget."

[0997] The search results from each data source are integrated and metadata (file name, creation date, file type, etc.) is organized.

[0998] For each item in the search results, the system checks the user's viewing permissions. If the user does not have viewing permissions, this information will not be provided to the user, but contact information and an application template will be generated to help them obtain the permissions.

[0999] Collect search results along with related information (e.g. related emails and spreadsheets) and structure them into a single package.

[1000] 4. Reply to user information processing device:

[1001] The server transmits the structured search results and related information to the user's information processing device.

[1002] The user information processing device analyzes the received data and displays it in a format that is easy for the user to view.

[1003] Adding specific examples

[1004] For example, if a user searches for the keyword "project budget," the system will operate as follows:

[1005] 1. User enters "Project Budget" and presses the search button

[1006] 2. The device sends the "project budget" and user ID to the server.

[1007] 3. The server analyzes the received search keywords and checks the user's authentication information

[1008] 4. The server searches for information related to "Project Budget" from cloud storage, email services, local storage, etc.

[1009] 5. The server consolidates the search results returned from each data source and organizes the metadata.

[1010] 6. The server checks the access rights to this information and provides support for requesting access rights if necessary.

[1011] 7. The server also collects and organizes related information (e.g., related email correspondence, spreadsheets)

[1012] 8. The device displays the search results and related information to the user.

[1013] Prompt Sentence Examples

[1014] Examples of prompts to input to a generative AI model include:

[1015] Please explain in natural language the steps a system takes to search for information about "project budget," gather relevant information from multiple sources such as cloud storage, email, and local files, and display it to the user.

[1016] This specification shows specific implementation methods of the present invention, thereby enabling other skilled persons to accurately understand and implement the invention.

[1017] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1018] Step 1:

[1019] The user enters search keywords

[1020] The user enters a search keyword into the device's search bar and presses the search button, for example, "project budget," which generates a search request.

[1021] Input: Search keyword "project budget"

[1022] Output: Search request activated

[1023] Specific operations: The user operates the device interface, enters keywords in the search bar, and clicks the "search button."

[1024] Step 2:

[1025] The device sends a search request to the server

[1026] The device acquires the search keywords and authentication information entered by the user and sends them to the server using the HTTPS protocol. For example, it sends "project budget" and the user ID "user123."

[1027] Input: Search keyword "project budget", User ID "user123"

[1028] Output: Sending an encrypted search request over HTTPS protocol

[1029] Specific operation: The device internally packages the search keywords and user ID and sends them to the server via the HTTPS protocol.

[1030] Step 3:

[1031] The server receives and parses the request

[1032] The server receives the request sent from the device, analyzes the search keywords and authentication information, and identifies the data sources that the user can access.

[1033] Input: Search request (search keyword "project budget", user ID "user123")

[1034] Output: Analysis results (list of accessible data sources)

[1035] Specific operation: The server analyzes the received request and identifies the data sources that can be accessed based on the user's authentication information.

[1036] Step 4:

[1037] The server initiates a search for each data source

[1038] The server sends a search request using the appropriate API to the identified data source (e.g., cloud storage, local database, etc.) The server searches each data source for data related to "project budget."

[1039] Input: Analysis results (list of accessible data sources), search keyword "project budget"

[1040] Output: Search results from each data source

[1041] Specific operation: The server sends a request to retrieve data related to "Project Budget" using the Amazon S3 API, Google Drive API, or local storage access engine.

[1042] Step 5:

[1043] The server receives and organizes the search results

[1044] The server receives the search results returned from each data source, consolidates and organizes them, extracting metadata (file name, creation date, file type, etc.) and creating a centralized list.

[1045] Input: Search results from each data source

[1046] Output: Consolidated search results list

[1047] What it does: The server receives data from Amazon S3, Google Drive, and local storage, extracts metadata such as file name, creation date, and file type, and organizes it.

[1048] Step 6:

[1049] The server checks the permissions

[1050] The server checks the user's viewing permissions for each item in the search results. If the user does not have the viewing permissions, the information is not provided to the user.

[1051] Input: Unified search results list

[1052] Output: Search result list with confirmed viewing permissions

[1053] Specific operation: The server checks the user's viewing permissions for the consolidated search result list and removes unauthorized data from the list.

[1054] Step 7:

[1055] Server supports permissions

[1056] For information that a user wishes to view but does not have permission to view, the server provides a way for the user to request permission, including contact information for the person with permission and a request template.

[1057] Input: Information you do not have permission to view

[1058] Output: Support information for permission requests (contact information, request template)

[1059] Specific operation: For information that the server does not have permission to view, it generates and provides contact information and an application template for the authorized person.

[1060] Step 8:

[1061] The server organizes the search results with relevant information

[1062] The server collects related information (e.g., related emails and spreadsheets) along with the search results and structures them into a single package.

[1063] Input: Permission-checked search results list, related information

[1064] Output: A structured search result package

[1065] What it does: The server organizes relevant information, such as emails and spreadsheets, along with search results, and assembles them into a single package.

[1066] Step 9:

[1067] Your device will display the search results.

[1068] The terminal analyzes the search results received from the server and displays them in a user-friendly format, allowing the user to quickly access the search results and related information.

[1069] Input: Structured search result package

[1070] Output: Search results and related information displayed to the user

[1071] Specific operation: The terminal analyzes the search result package received from the server and displays it on the user interface.

[1072] (Application example 1)

[1073] 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."

[1074] In factories and manufacturing sites, the ability of workers to quickly obtain the information they need from multiple data and information sources significantly affects work efficiency. With conventional systems, information searches and viewing authorization checks are performed separately, which means it takes time to obtain information and there is a risk that necessary related information may be overlooked. Furthermore, there is a lack of systems in place to recognize voice commands and support the acquisition of unauthorized information, which reduces on-site efficiency. A system that can solve these problems is needed.

[1075] 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.

[1076] In this invention, the server includes means for inputting search keywords from a terminal, means for transmitting the search keywords and authentication information to the server, means for the server to obtain search results from multiple information sources, means for the server to confirm the user's viewing authority in the search results, means for the server to support the user's viewing authority, means for the server to organize the search results and related information and transmit them to the terminal, means for the terminal to display the search results and related information to the user, means for converting the search keywords into text using a voice recognition engine, means for automatically generating and providing an authority application template, and means for the work support robot to connect to the terminal and notify the terminal of the search results. This makes it possible to improve work efficiency and quickly obtain necessary related information.

[1077] A "terminal" is a device through which a user inputs search keywords and obtains information.

[1078] "Search keywords" are words or phrases that a user enters to search for specific information.

[1079] "Authentication Information" means the authentication means required for a user to access the system, including a user ID and password.

[1080] A "server" is a computer system that retrieves search results from multiple information sources and processes user search queries.

[1081] An "information source" is a location or system where data or information is stored, including cloud storage, email services, local databases, etc.

[1082] "Search results" are data and information retrieved from information sources based on search keywords.

[1083] "Viewing authority" is the right that a user has to access and view specific information.

[1084] An "authority request template" is a fixed phrase used when a user requests permission to view information that the user requires.

[1085] A "voice recognition engine" is software or hardware for converting voice commands into text data.

[1086] A "work support robot" is a robot that supports the work of workers in factories and manufacturing sites.

[1087] "Related Information" is supplemental data or information related to a search query that is provided with search results.

[1088] This invention is a system for improving the efficiency of information search and management of viewing authority in factories and manufacturing sites, and uses work support robots to enable workers to quickly obtain the information they need. This system allows for a continuous process from entering search keywords to obtaining related information, dramatically improving work efficiency.

[1089] System configuration

[1090] The system consists of the following main components:

[1091] 1. Terminal: A device through which users input search keywords and obtain information. This includes smartphones, smart glasses, head-mounted displays, etc.

[1092] 2. Server: A computer system that retrieves search results from multiple information sources and processes the user's search query. The specific server used can be a cloud server or a local server.

[1093] 3. Information Source: The location or system where data or information is stored, such as cloud storage, email services, or local databases.

[1094] 4. Speech recognition engine: Software or hardware that converts voice commands into text data, such as the Google Speech-to-Text API or Amazon Transcribe.

[1095] 5. Work support robot: A robot that supports workers in their work. It connects to the user's device and provides necessary information.

[1096] System Operation

[1097] 1. Speech Recognition:

[1098] The user issues a voice command such as "Show me the instruction manual for part X."

[1099] A voice recognition engine converts the voice command into text data.

[1100] 2. Submit a search request:

[1101] The device sends the entered search keyword (text data) and authentication information to the server. The communication uses the HTTPS protocol to ensure security.

[1102] 3. Search process:

[1103] The server sends a search request using search keywords to multiple information sources, and API requests are made to cloud storage, email services, and local databases.

[1104] 4. Search Results Integration:

[1105] The server consolidates the search results received from each information source, extracts metadata (file name, creation date, file type, etc.), and organizes them.

[1106] 5. Viewing permission verification and support:

[1107] The server checks the user's viewing rights for each search result. If the user does not have the viewing rights, it automatically generates and provides a permission request template and the contact information of the person with the permission.

[1108] 6. Displaying search results and related information:

[1109] The server sends the search results along with related information to the terminal, which then displays the processed data in an easy-to-read format for the user and provides an authorization link if necessary.

[1110] Specific examples

[1111] For example, when a worker searches for "the instruction manual for part X," the following steps are taken:

[1112] The user issues a voice command such as, "Show me the instruction manual for part X."

[1113] The speech recognition engine converts this speech into text data and sends it to the server.

[1114] The server searches for the required information from multiple information sources and integrates the results.

[1115] For information you do not have permission to view, we will provide you with a template and contact information for requesting permission.

[1116] The work support robot notifies the terminal of search results, helping the user to quickly obtain information.

[1117] Prompt Sentence Examples

[1118] The following prompt sentences can be used:

[1119] "Show me the instruction manual for part X"

[1120] This invention allows workers to quickly obtain the information they need at a factory or manufacturing site, thereby improving work efficiency and accuracy.

[1121] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1122] Step 1:

[1123] The user inputs a voice command. The user says, "Show me the instruction manual for part X." The input at this point is the user's voice data. The output is sent to the speech recognition engine.

[1124] Step 2:

[1125] A speech recognition engine converts speech into text. A speech recognition engine (for example, Google Speech-to-Text API) receives speech data and converts it into text data. Specifically, the speech data undergoes acoustic signal processing and natural language processing to be converted into text data such as "Show me the instruction manual for part X." The input is speech data, and the output is text data.

[1126] Step 3:

[1127] The device sends a search request to the server. The device encrypts the text data (search keywords) obtained from the voice recognition engine and the user's authentication information using the HTTPS protocol and sends them to the server. The input is the text data and authentication information, and the output is the request sent to the server.

[1128] Step 4:

[1129] The server receives the request and analyzes the search keywords. The server analyzes the search keywords and authentication information from the received request and identifies the information sources that the user can access. Specifically, it analyzes the search keywords and understands their vocabulary and syntax using a parser. The input is the search keywords and authentication information, and the output is a list of accessible information sources.

[1130] Step 5:

[1131] The server sends a search query to the information source. The server makes a search request to the identified information source (cloud storage, email service, local database, etc.) using the appropriate API. The input is a list of information sources and search keywords, and the output is the search results obtained from each information source.

[1132] Step 6:

[1133] The server integrates the search results and extracts metadata. The server receives and integrates the search results obtained from each information source. It also extracts metadata (file name, creation date, file type, etc.) for each search result. The input is the search results from each information source, and the output is the integrated search results and metadata.

[1134] Step 7:

[1135] The server checks the viewing permissions. The server checks whether the user has permission to view each item in the integrated search results. If the user does not have permission, the server does not provide the item directly to the user, but also generates a template and contact information for permission request. The input is the integrated search results and the user's authentication information, and the output is the permission-confirmed search results and permission request information.

[1136] Step 8:

[1137] The server organizes the search results and related information and sends them to the terminal. The server organizes the authorized search results and related information into a package and sends it to the terminal. The input is the authorized search results and related information, and the output is the package sent to the terminal.

[1138] Step 9:

[1139] The terminal displays the search results and related information to the user. The terminal analyzes the package received from the server and displays the search results and related information in an easy-to-read format for the user. It also provides an authorization link if necessary. The input is the package data from the server, and the output is the information displayed to the user.

[1140] Through the above processing steps, users can quickly and efficiently obtain the information they need at the factory or manufacturing site.

[1141] 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.

[1142] The present invention is an information retrieval system incorporating an emotion engine that recognizes user emotions. When a user inputs search keywords from a terminal and presses a search button, the server executes a search across multiple information sources and provides the results to the user. It also supports the user in obtaining viewing authority for information that requires it. The system of the present invention uses the emotion engine to analyze the user's emotions, and based on that, it rearranges the priority of search results, makes suggestions in real time, and provides personalized search results.

[1143] System Program Processing

[1144] 1. User enters search keywords:

[1145] When a user enters search keywords into the device's search bar and presses the search button, the device detects the user's voice and facial expressions, and prepares the emotion engine to analyze them.

[1146] 2. The device sends a search request to the server:

[1147] The device packages the entered search keywords, user authentication information, and emotion data into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted, so the information is transmitted securely.

[1148] 3. The server receives and parses the request:

[1149] The server receives the request, analyzes the search keywords and the user's authentication information, and also analyzes the emotion data provided by the emotion engine to understand the user's current emotional state. After analysis, it obtains a list of accessible information sources based on the user's authentication information.

[1150] 4. The server initiates a search for each information source:

[1151] The server sends a search request based on the search keywords to the identified information sources, which may include cloud storage services, email services, local storage, etc. The server calls the appropriate API for each information source.

[1152] 5. The server receives and organizes the search results:

[1153] Each information source receives a search request, searches for the relevant data, and returns the results to the server. The server receives search results from multiple information sources, integrates them into a single dataset, and adjusts the priority of search results based on an emotion engine.

[1154] 6. The server checks the permissions:

[1155] The server checks the user's viewing permissions for each result in the integrated dataset. For each result, it compares the user's permission information and distinguishes between results that are viewable and those that are not.

[1156] 7. Server supports permissions:

[1157] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[1158] 8. The server collects emotional data and provides personalized search results:

[1159] The emotion engine collects user emotional data and personalizes search results based on past emotional patterns, providing search results optimized for the user's past emotional history.

[1160] 9. Your device will display the search results:

[1161] The device analyzes the package received from the server and displays it in a visually easy-to-understand format for the user. Search results are displayed in a list format, with links to each result provided. In addition, related information is displayed at the same time, allowing users to smoothly access the information they need.

[1162] Specific examples

[1163] For example, if a user searches for the keyword "project budget" and looks worried, the system will recognize that emotion. The emotion engine will determine that the user is stressed and will change the priorities to display information that needs immediate attention. It will also display related information that is useful for project management, allowing users to quickly access the information they need.

[1164] The present invention not only enables users to quickly obtain necessary information from various information sources, but also enables them to efficiently use related information. Furthermore, personalized search results that take into account the user's feelings are provided, further improving the search experience. Furthermore, the present invention also enables efficient handling of information that requires viewing authorization, significantly improving work efficiency.

[1165] The processing flow will be explained below.

[1166] Step 1:

[1167] The user enters search keywords into the search bar of the device and presses the search button. This operation causes the device to acquire the search keywords.

[1168] Step 2:

[1169] The device detects the user's voice and facial expressions, and the emotion engine prepares to analyze them. The emotion engine collects and analyzes the user's emotional data to determine their real-time emotional state.

[1170] Step 3:

[1171] The device packages the search keywords, user authentication information, and emotion data into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted and therefore secure.

[1172] Step 4:

[1173] The server receives the request, analyzes the search keywords and user authentication information, verifies whether the user authentication information is valid, and obtains a list of information sources that the user can access.

[1174] Step 5:

[1175] The server analyzes the emotional data and uses it to understand the user's current emotional state. The emotion engine determines, for example, whether the user is feeling stressed or anxious.

[1176] Step 6:

[1177] The server sends a search request based on the search keywords to the identified information sources, calling the appropriate API for each information source, such as cloud storage, email service, or local storage.

[1178] Step 7:

[1179] Each information source receives a search request, searches for the relevant data, and returns the results to the server, which receives the search results from multiple information sources and combines them into a single dataset.

[1180] Step 8:

[1181] The server checks the user's viewing permissions for each result in the integrated dataset, and distinguishes between data the user has permission to view and data they do not.

[1182] Step 9:

[1183] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[1184] Step 10:

[1185] The server adjusts the priority of search results based on the emotion data. For example, if the user feels urgent, it adjusts the display to show information with a high degree of urgency.

[1186] Step 11:

[1187] The server organizes and structures the search results and related information, including personalized search results based on an emotion engine.

[1188] Step 12:

[1189] The device analyzes the package received from the server and displays it in a visually easy-to-understand format to the user. Search results are displayed in a list format with links to each result, along with related information and instructions for requesting authorization.

[1190] Step 13:

[1191] Users can operate their devices to view search results and related information, and open or download the information as needed. Furthermore, for information that requires viewing permission, they can apply for permission through their devices.

[1192] Step 14:

[1193] When a user actually uses information, the system accumulates emotional data about the user and uses it to personalize future search results.

[1194] These are the specific processing steps of a system incorporating an emotion engine, which allows users to quickly and efficiently access the information they need and provides them with an optimal information experience that matches their emotions at the time.

[1195] Example 2

[1196] 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."

[1197] Conventional information search systems present search results without considering the user's emotional state, which can prevent users from quickly accessing the information they need. Furthermore, because access to unauthorized information is limited, users often waste time accessing the information they need. This reduces user convenience and hinders work efficiency.

[1198] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1199] In this invention, the server includes a means for an emotion analysis device to analyze a user's emotional state and adjust the priority of search results, a means for collecting the user's emotional data and personalizing the search results based on past emotional patterns, and a means for providing contact information of an authorized person and an application template for information in the search results that the user does not have permission to view. This makes it possible to provide personalized search results that take the user's emotional state into consideration, enabling quick access to necessary information. Furthermore, by providing an efficient method for accessing information that requires permission, the user's work efficiency is significantly improved.

[1200] "User" refers to a user who accesses and operates the system.

[1201] "Terminal" refers to an input / output device through which a user inputs search keywords and displays search results.

[1202] "Server" means the central processing unit that receives search requests and collects and organizes data from multiple sources.

[1203] A "search keyword" refers to text data that a user inputs when searching for information.

[1204] "Authentication information" is data used to verify a user's identity, and includes passwords, tokens, and the like.

[1205] "Information source" refers to a data storage location such as a database or cloud storage where the data to be searched is stored.

[1206] "Search results" refers to data retrieved from information sources that match or are related to the search keywords.

[1207] "Viewing privileges" refers to permission to access or view specific data.

[1208] "Authorized Person" means a person or organization that has access to specific information.

[1209] "Request Template" refers to a standard document used to request access rights.

[1210] An "emotion analysis device" refers to a device or software that analyzes a user's voice and facial expressions to evaluate their emotional state.

[1211] "Personalization" refers to optimizing search results based on a user's individual needs and past behavior.

[1212] The present invention is an information retrieval system that analyzes user emotions and adjusts the priority of search results. In this system, a user inputs search keywords from a terminal, a server executes a search against multiple information sources, and provides personalized search results based on the emotional data.

[1213] First, the user enters search keywords into the device's search bar and presses the search button. At this time, the device is equipped with a camera and microphone that detects the user's voice and facial expressions. This emotional data is analyzed by an emotion analyzer. The device then sends the search keywords, user authentication information, and emotional data as a single request data to the server using the HTTPS protocol.

[1214] The server then analyzes the received request and sends a search request to multiple information sources (cloud storage, local storage, etc.) using the appropriate API based on the search keywords. The server then integrates the search results returned from each information source and adjusts the priority of the search results based on the results of the sentiment analysis device.

[1215] The server checks the user's viewing permissions for each result in the integrated dataset. For information the user does not have permission to view, it collects contact information for authorized individuals and a permission request template and provides them to the user. Additionally, an emotion analyzer collects the user's past emotional patterns and provides personalized search results.

[1216] Finally, the device analyzes the search results received from the server and displays them to the user in a visually easy-to-understand format. Search results are displayed in a list format, with links to each result provided. Related information is also displayed at the same time, allowing the user to quickly access the information they need.

[1217] Specific examples

[1218] For example, if a user looks worried while searching for the keyword "project budget," the emotion analyzer will recognize this emotion. It will determine that the user is stressed and reprioritize search results to display information that requires immediate attention. It also displays related information useful for project management, allowing users to quickly access the information they need.

[1219] Prompt Sentence Examples

[1220] For example, you can enter the following prompts for a generative AI model:

[1221] "Please provide search results for 'project budget'. The user currently appears worried. Please also provide relevant information to help them reduce their stress."

[1222] The present invention allows users to quickly receive personalized search results according to their emotional state, and also allows efficient access to authorized information, significantly improving work efficiency.

[1223] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1224] Step 1:

[1225] The user enters search keywords into the device's search bar and presses the search button.

[1226] Input: Search keyword

[1227] Specific operation: A user enters the search keyword "project budget" into the device's search bar. The device's camera and microphone are activated to collect the user's facial expressions and voice.

[1228] Step 2:

[1229] The device sends a search request to the server.

[1230] Input: Search keywords, user authentication information, facial expressions and voice data

[1231] How it works: The device packages search keywords, user authentication information, and collected emotion data together and sends them to the server using the HTTPS protocol. The communication is encrypted.

[1232] Step 3:

[1233] The server receives and parses the request.

[1234] Input: Search keywords, user credentials, emotional data

[1235] Specific operation: The server receives the request and analyzes the search keywords and user authentication information. The emotion analyzer analyzes the emotional data and understands the user's emotional state. After analyzing the request, it obtains a list of accessible information sources based on the user's authentication information.

[1236] Step 4:

[1237] The server initiates a search for each information source.

[1238] Input: Search keywords, list of information sources

[1239] Specific operation: The server sends a search request based on the search keyword to the identified information sources using the appropriate API. It also sends a request to collect data from each information source.

[1240] Step 5:

[1241] The server receives and organizes the search results.

[1242] Input: Search results from each information source

[1243] Specific operation: The server receives search results returned from each information source and integrates them into a single dataset. At the same time, it adjusts the priority of search results based on the sentiment analysis device. Then, it organizes the integrated search results.

[1244] Step 6:

[1245] The server checks the permissions.

[1246] Input: Integrated search results, user permission information

[1247] Specific operation: The server checks the user's viewing permissions for each result in the integrated dataset. It checks whether each result is accessible to the user and distinguishes between viewable and inaccessible data.

[1248] Step 7:

[1249] The server provides support for permissions.

[1250] Input: Search results you do not have permission to view

[1251] Specific operation: For information that the user does not have permission to view, the server collects contact information of the person who has permission and a permission application template, and provides this to the user.

[1252] Step 8:

[1253] The server collects emotional data and provides personalized search results.

[1254] Input: User emotion data, past emotion patterns

[1255] How it works: The emotion analyzer collects user emotional data and personalizes search results based on past emotional patterns, resulting in optimized search results that take into account the user's past history and emotional state.

[1256] Step 9:

[1257] Your device will display the search results.

[1258] Input: Search results received from the server

[1259] Specific operation: The device analyzes the search results received from the server and displays them to the user in a visually easy-to-understand format. Search results are displayed in a list format, with links to each result and related information.

[1260] (Application example 2)

[1261] 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."

[1262] Conventional information search systems do not take the user's emotions into account, making it difficult to provide information that is optimal for the user's current mental state. Furthermore, organizing search results and verifying user access permissions takes time, reducing the efficiency of information retrieval. Improving the user experience is particularly challenging for content delivery services, which require personalized information based on emotions.

[1263] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the emotional state of the user using an emotion analysis engine and changing the priority of search results based on the result, means for collecting related information together with the search results and providing the same to the user, and means for the terminal to display the search results and related information to the user. This makes it possible to provide optimal information according to the emotional state of the user.

[1264] A "terminal" is a computing device used by a user to enter search keywords and display search results. Examples of such devices include smartphones, tablets, and personal computers.

[1265] A "search keyword" is a character string or phrase that a user inputs into a terminal to obtain information.

[1266] "Authentication information" refers to data that a user uses to verify their identity and access rights, such as a user ID and password.

[1267] A "server" is a computer system that receives search keywords and authentication information sent from a terminal, obtains search results from multiple information sources, and performs processing.

[1268] An "information source" is a data repository such as a database, cloud storage, or email server that the server searches.

[1269] "Search results" are a collection of information that the server retrieves from information sources based on the search keywords.

[1270] "Access rights" are data that indicate a user's permissions and entitlements to access specific information.

[1271] An "emotion analysis engine" is software and algorithms that analyze emotional data such as a user's facial expressions and voice, and estimate their emotional state.

[1272] "Emotional state" is information that indicates the user's current psychological and emotional state, such as happiness, sadness, anger, etc.

[1273] "Personalized" refers to a method of providing services and information that are optimized according to the characteristics, preferences, and emotional state of each individual user.

[1274] "Related information" refers to supplementary information related to search results, and is data that allows users to smoothly access the information they need. For example, related papers and supplementary materials.

[1275] The present invention is a system for content distribution services that analyzes user emotions and changes the priority of search results and recommended content based on the analysis. This system is composed of a terminal, a server, an emotion analysis engine, and multiple information sources. The specific system configuration and processing procedures are described in detail below.

[1276] System Configuration

[1277] Terminal

[1278] A device used by users to input search keywords. Examples include smartphones, tablets, and personal computers. These devices are equipped with cameras and microphones, which can collect emotional data from the user's facial expressions and voice.

[1279] server

[1280] It is a computer system that receives search keywords, authentication information, and emotion data sent from the device, and retrieves and organizes search results from multiple sources. The server includes functions for search processing, emotion analysis, and personalized content recommendation.

[1281] Sentiment Analysis Engine

[1282] Facial expression recognition is performed using libraries such as OpenCV, and DSP (Digital Signal Processing) technology is also used to analyze voice data. This allows the user's emotional state to be analyzed in real time and the data to be sent to the server.

[1283] source of information

[1284] A data repository against which a server performs searches, such as cloud storage, a database, or an email server.

[1285] Processing Flow

[1286] Enter and submit search keywords

[1287] The user enters search keywords into the device's search bar. The device's camera and microphone capture the user's facial expressions and voice, which are then analyzed by the emotion analysis engine. The resulting emotion data, search keywords, and authentication information are then sent to the server as a single request.

[1288] Obtaining and analyzing search results

[1289] The server analyzes the received request and retrieves search results from multiple sources based on the user's emotional state. The search results are first reprioritized through a sentiment analysis engine.

[1290] Collecting and organizing relevant information

[1291] The server then organizes the search results and sends them to the device. The related information includes supplementary data related to the information the user is looking for, enriching the user's search experience.

[1292] View search results and related information

[1293] The terminal visually displays the search results and related information received from the server to the user. The list of search results includes links to each result, and related information is also displayed simultaneously for easy access by the user.

[1294] Specific examples

[1295] For example, if a user searches for "latest comedy movies" and looks sad, the system will recognize that emotion and prioritize recommendations for uplifting comedy movies. Related information will also be displayed, including interviews with popular comedic actors and related videos.

[1296] Prompt Sentence Examples

[1297] Below is an example prompt that indicates the user's emotion is "sad":

[1298] USER_PROMPT: "I want to watch the latest fun movie. I'm feeling down and need some cheering."

[1299] In this way, a concrete system is provided for analyzing a user's emotional state in real time and recommending optimal content based on the analysis, which can provide a more satisfying search experience for the user.

[1300] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1301] Step 1:

[1302] A user enters a search keyword into the device's search bar. The device uses a camera and microphone to collect emotional data from the user's facial expressions and voice. The emotion analysis engine processes this data and analyzes the user's emotional state.

[1303] Input: Search keywords, user facial expression data, voice data

[1304] Processing: Search keywords are retained, and facial expression and voice data are analyzed by an emotion analysis engine to extract emotional states.

[1305] Output: Search keywords, emotional state

[1306] Step 2:

[1307] The device packages search keywords, authentication information, and emotional state into a single request and sends it to the server using the HTTPS protocol.

[1308] Input: Search keywords, emotional state, credentials

[1309] Processing: Package these data into a single request

[1310] Output: Packaged request (search keywords, emotional state, authentication information)

[1311] Step 3:

[1312] The server analyzes the received request and sends a search request to multiple sources based on the search keywords, while analyzing the emotional state and preparing to provide personalized results.

[1313] Input: Packaged request

[1314] Processing: Sending search requests to sources based on search keywords, analyzing emotional state, preparing for personalization

[1315] Output: Search results, analyzed emotional state

[1316] Step 4:

[1317] The server consolidates the search results received from the information sources, and based on the results of the sentiment analysis engine, reprioritizes the search results and places the most important results at the top.

[1318] Input: Search results from sources, emotional state

[1319] Processing: Integration of search results, prioritization based on emotional state

[1320] Output: prioritized search results

[1321] Step 5:

[1322] The server organizes and repackages the prioritized search results and related information for delivery to the user.

[1323] Input: prioritized search results, related information

[1324] Processing: Organizing search results and related information, repackaging results

[1325] Output: Repackaged search results and related information

[1326] Step 6:

[1327] The repackaged results are sent to the device, which receives them and visually displays them to the user, providing personalized information based on the user's emotional state.

[1328] Input: Repackaged search results and related information

[1329] Processing: Sending the results to the terminal and preparing them for display

[1330] Output: Search results and related information visually displayed to the user

[1331] In this way, the system proceeds step by step, performing specific data processing and calculations at each step, ultimately providing the user with personalized search results based on their emotions.

[1332] 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.

[1333] 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.

[1334] 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.

[1335] [Fourth embodiment]

[1336] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1337] 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.

[1338] 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).

[1339] 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.

[1340] 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.

[1341] 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).

[1342] 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.

[1343] 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.

[1344] 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.

[1345] 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.

[1346] 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.

[1347] 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.

[1348] 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."

[1349] This system helps users quickly search for information and obtain the relevant information they need. When a user enters search keywords on their terminal and presses the search button, the server executes a search across multiple information sources and provides the results to the user. It also supports how users obtain viewing permissions for information that requires viewing permissions.

[1350] System Program Processing

[1351] 1. User enters search keywords:

[1352] The user enters search keywords into the device's search bar and presses the search button, which activates the search query.

[1353] 2. The device sends a search request to the server:

[1354] The device sends the entered search keywords and user authentication information to the server as a single request. The information is encrypted because it is sent using the HTTPS protocol.

[1355] 3. The server receives and parses the request:

[1356] The server receives the request, analyzes the search keywords and authentication information, and then identifies accessible information sources based on the user's authentication information.

[1357] 4. The server initiates a search for each information source:

[1358] The server sends a search request to the identified information sources (e.g., cloud storage service, email service, local storage, etc.) using the appropriate API. A search is performed in each information source.

[1359] 5. The server receives and organizes the search results:

[1360] The search results from each information source are sent back to the server, which aggregates the results and extracts the metadata for each result (file name, creation date, file type, etc.).

[1361] 6. The server checks the permissions:

[1362] For each item in the search results, the server checks whether the user has permission to view it, and if not, the information is not provided directly to the user.

[1363] 7. Server supports permissions:

[1364] If the user does not have permission to view the information they wish to view, the server provides a way for them to request permission, including contact information for the person with permission and a request template.

[1365] 8. The server organizes the search results with relevant information:

[1366] The server also collects related information (e.g., related emails, spreadsheets, etc.) and structures it into a single package along with the search results.

[1367] 9. Your device will display the search results:

[1368] The terminal analyzes the search results received from the server and displays them to the user in a format that is easy for the user to view, and allows easy access to the related information they need.

[1369] Specific examples

[1370] For example, if a user searches for the keyword "project budget," the system will operate as follows:

[1371] 1. The user enters "project budget" and presses the search button.

[1372] 2. The device sends the "project budget" and user ID to the server.

[1373] 3. The server analyzes the received search keywords and verifies the user's authentication information.

[1374] 4. The server searches for information related to "Project Budget" from cloud storage, email services, local storage, etc.

[1375] 5. The server consolidates the search results returned from each information source and organizes the metadata.

[1376] 6. The server checks the access rights for this information and provides access request support if necessary.

[1377] 7. The server also collects and organizes related information (e.g., related email correspondence, spreadsheets).

[1378] 8. The device displays search results and related information to the user, allowing the user to quickly access the information they need.

[1379] The present invention not only enables users to quickly obtain necessary information from multiple information sources, but also allows users to smoothly retrieve related information. Furthermore, it also enables efficient handling of information that requires viewing authorization, thereby significantly improving work efficiency.

[1380] The processing flow will be explained below.

[1381] Step 1:

[1382] The user enters search keywords into the device's search bar and presses the search button. This action causes the device to temporarily store the search keywords and authentication information entered by the user.

[1383] Step 2:

[1384] The device packages the search keywords and the user's authentication information into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted, so the information is sent securely.

[1385] Step 3:

[1386] The server receives the request, analyzes the search keywords and user authentication information, verifies whether the user authentication information is valid, and obtains a list of information sources that the user can access.

[1387] Step 4:

[1388] The server sends a search request based on the search keywords to the identified information sources, which may include cloud storage services, email services, local storage, etc. The server calls the appropriate API for each information source.

[1389] Step 5:

[1390] Each information source receives a search request, searches for the relevant data, and returns the results to the server, which receives the search results from multiple information sources and combines them into a single dataset.

[1391] Step 6:

[1392] The server checks the user's viewing permissions for each result in the integrated dataset. For each result, it compares the user's permission information and distinguishes between results that are viewable and those that are not.

[1393] Step 7:

[1394] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[1395] Step 8:

[1396] After the server verifies viewing permissions, it organizes the search results and related information (e.g., related emails, spreadsheets, meeting minutes, etc.) and structures them into a package that is easily accessible to the user.

[1397] Step 9:

[1398] The device analyzes the package received from the server and displays it in a visually easy-to-understand format for the user. Search results are displayed in a list format, with links to each result provided. In addition, related information is displayed at the same time, allowing users to smoothly access the information they need.

[1399] Step 10:

[1400] Users can operate their devices to view search results and related information, and open or download information as needed. For information that requires viewing permission, users can apply for permission through their devices.

[1401] These are the specific steps of the system's program processing, which allows users to quickly obtain the information they need from a variety of information sources and efficiently use related information.

[1402] Example 1

[1403] 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."

[1404] In conventional search systems, it is difficult for users to efficiently obtain necessary information from multiple data sources. Furthermore, if a user does not have permission to view information included in search results, the procedures for using that information are cumbersome, resulting in reduced work efficiency. The present invention aims to solve these problems and provide a system that allows users to quickly and efficiently obtain necessary information and related information.

[1405] 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.

[1406] In this invention, the server includes means for transmitting search keywords and authentication information to multiple data sources, means for receiving search results from each data source and creating a list, means for confirming viewing authority for the search results, means for supporting acquisition of viewing authority for information for which the user does not have viewing authority, and means for organizing related information and transmitting it to the user information processing device, thereby enabling the user to quickly obtain the information they need and efficiently access information for which they do not have viewing authority.

[1407] A "user information processing device" is a terminal device that allows a user to input and view information, and includes a personal computer, a smartphone, a tablet, and the like.

[1408] "Search keywords" are words or phrases that a user enters to search for specific information.

[1409] "Authentication information" is information used to prove that a user has specific authority, and includes a user ID, password, and the like.

[1410] A "server" is a computer system that processes requests sent from user information processing devices, obtains necessary information from multiple data sources, integrates it, and sends it.

[1411] A "data source" is a database or storage system that a server uses to execute a search query, including cloud storage, local databases, online services, and the like.

[1412] "Search results" are information retrieved from data sources based on search keywords entered by a user.

[1413] "Viewing authority" refers to the right of a user to access and view specific information.

[1414] "Authority acquisition support" is a function that supports the procedure for a user to obtain access to information that the user does not have permission to view.

[1415] "Related information" is additional information provided with search results, including emails, documents, reports, etc. related to the search keywords.

[1416] The present invention is a search system that allows users to quickly and efficiently obtain the information they need from multiple data sources and provides related information in an integrated manner. The program processing of this system will be explained below in natural language.

[1417] Hardware and Software Configuration

[1418] The system consists of the following main components:

[1419] 1. User information processing device:

[1420] This includes terminal devices such as personal computers, smartphones, and tablets.

[1421] 2. Server:

[1422] A computer system that processes search requests and aggregates and transmits data.

[1423] 3. Data Source:

[1424] This includes cloud storage (e.g., Amazon S3, Google Drive), local databases, online services, etc.

[1425] 4. Communication Protocol:

[1426] By using the HTTPS protocol, data transmission is encrypted.

[1427] Data processing and calculation

[1428] 1. User information processing device:

[1429] A search request is activated by entering search keywords in the search bar and pressing the search button. Let's take a specific example where a user enters the keyword "project budget."

[1430] 2. Terminal processing:

[1431] The entered search keyword (project budget) and authentication information (e.g., user123) are sent to the server using the HTTPS protocol.

[1432] 3. Server processing:

[1433] The server receives the request, parses it, and then identifies accessible data sources based on the user's credentials.

[1434] The server sends a search request using an API to the specified data source (e.g., Amazon S3, Google Drive, local database) to find data related to "project budget."

[1435] The search results from each data source are integrated and metadata (file name, creation date, file type, etc.) is organized.

[1436] For each item in the search results, the system checks the user's viewing permissions. If the user does not have viewing permissions, this information will not be provided to the user, but contact information and an application template will be generated to help them obtain the permissions.

[1437] Collect search results along with related information (e.g. related emails and spreadsheets) and structure them into a single package.

[1438] 4. Reply to user information processing device:

[1439] The server transmits the structured search results and related information to the user's information processing device.

[1440] The user information processing device analyzes the received data and displays it in a format that is easy for the user to view.

[1441] Adding specific examples

[1442] For example, if a user searches for the keyword "project budget," the system will operate as follows:

[1443] 1. User enters "Project Budget" and presses the search button

[1444] 2. The device sends the "project budget" and user ID to the server.

[1445] 3. The server analyzes the received search keywords and checks the user's authentication information

[1446] 4. The server searches for information related to "Project Budget" from cloud storage, email services, local storage, etc.

[1447] 5. The server consolidates the search results returned from each data source and organizes the metadata.

[1448] 6. The server checks the access rights to this information and provides support for requesting access rights if necessary.

[1449] 7. The server also collects and organizes related information (e.g., related email correspondence, spreadsheets)

[1450] 8. The device displays the search results and related information to the user.

[1451] Prompt Sentence Examples

[1452] Examples of prompts to input to a generative AI model include:

[1453] Please explain in natural language the steps a system takes to search for information about "project budget," gather relevant information from multiple sources such as cloud storage, email, and local files, and display it to the user.

[1454] This specification shows specific implementation methods of the present invention, thereby enabling other skilled persons to accurately understand and implement the invention.

[1455] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1456] Step 1:

[1457] The user enters search keywords

[1458] The user enters a search keyword into the device's search bar and presses the search button, for example, "project budget," which generates a search request.

[1459] Input: Search keyword "project budget"

[1460] Output: Search request activated

[1461] Specific operations: The user operates the device interface, enters keywords in the search bar, and clicks the "search button."

[1462] Step 2:

[1463] The device sends a search request to the server

[1464] The device acquires the search keywords and authentication information entered by the user and sends them to the server using the HTTPS protocol. For example, it sends "project budget" and the user ID "user123."

[1465] Input: Search keyword "project budget", User ID "user123"

[1466] Output: Sending an encrypted search request over HTTPS protocol

[1467] Specific operation: The device internally packages the search keywords and user ID and sends them to the server via the HTTPS protocol.

[1468] Step 3:

[1469] The server receives and parses the request

[1470] The server receives the request sent from the device, analyzes the search keywords and authentication information, and identifies the data sources that the user can access.

[1471] Input: Search request (search keyword "project budget", user ID "user123")

[1472] Output: Analysis results (list of accessible data sources)

[1473] Specific operation: The server analyzes the received request and identifies the data sources that can be accessed based on the user's authentication information.

[1474] Step 4:

[1475] The server initiates a search for each data source

[1476] The server sends a search request using the appropriate API to the identified data source (e.g., cloud storage, local database, etc.) The server searches each data source for data related to "project budget."

[1477] Input: Analysis results (list of accessible data sources), search keyword "project budget"

[1478] Output: Search results from each data source

[1479] Specific operation: The server sends a request to retrieve data related to "Project Budget" using the Amazon S3 API, Google Drive API, or local storage access engine.

[1480] Step 5:

[1481] The server receives and organizes the search results

[1482] The server receives the search results returned from each data source, consolidates and organizes them, extracting metadata (file name, creation date, file type, etc.) and creating a centralized list.

[1483] Input: Search results from each data source

[1484] Output: Consolidated search results list

[1485] What it does: The server receives data from Amazon S3, Google Drive, and local storage, extracts metadata such as file name, creation date, and file type, and organizes it.

[1486] Step 6:

[1487] The server checks the permissions

[1488] The server checks the user's viewing permissions for each item in the search results. If the user does not have the viewing permissions, the information is not provided to the user.

[1489] Input: Unified search results list

[1490] Output: Search result list with confirmed viewing permissions

[1491] Specific operation: The server checks the user's viewing permissions for the consolidated search result list and removes unauthorized data from the list.

[1492] Step 7:

[1493] Server supports permissions

[1494] For information that a user wishes to view but does not have permission to view, the server provides a way for the user to request permission, including contact information for the person with permission and a request template.

[1495] Input: Information you do not have permission to view

[1496] Output: Support information for permission requests (contact information, request template)

[1497] Specific operation: For information that the server does not have permission to view, it generates and provides contact information and an application template for the authorized person.

[1498] Step 8:

[1499] The server organizes the search results with relevant information

[1500] The server collects related information (e.g., related emails and spreadsheets) along with the search results and structures them into a single package.

[1501] Input: Permission-checked search results list, related information

[1502] Output: A structured search result package

[1503] What it does: The server organizes relevant information, such as emails and spreadsheets, along with search results, and assembles them into a single package.

[1504] Step 9:

[1505] Your device will display the search results.

[1506] The terminal analyzes the search results received from the server and displays them in a user-friendly format, allowing the user to quickly access the search results and related information.

[1507] Input: Structured search result package

[1508] Output: Search results and related information displayed to the user

[1509] Specific operation: The terminal analyzes the search result package received from the server and displays it on the user interface.

[1510] (Application example 1)

[1511] 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."

[1512] In factories and manufacturing sites, the ability of workers to quickly obtain the information they need from multiple data and information sources significantly affects work efficiency. With conventional systems, information searches and viewing authorization checks are performed separately, which means it takes time to obtain information and there is a risk that necessary related information may be overlooked. Furthermore, there is a lack of systems in place to recognize voice commands and support the acquisition of unauthorized information, which reduces on-site efficiency. A system that can solve these problems is needed.

[1513] 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.

[1514] In this invention, the server includes means for inputting search keywords from a terminal, means for transmitting the search keywords and authentication information to the server, means for the server to obtain search results from multiple information sources, means for the server to confirm the user's viewing authority in the search results, means for the server to support the user's viewing authority, means for the server to organize the search results and related information and transmit them to the terminal, means for the terminal to display the search results and related information to the user, means for converting the search keywords into text using a voice recognition engine, means for automatically generating and providing an authority application template, and means for the work support robot to connect to the terminal and notify the terminal of the search results. This makes it possible to improve work efficiency and quickly obtain necessary related information.

[1515] A "terminal" is a device through which a user inputs search keywords and obtains information.

[1516] "Search keywords" are words or phrases that a user enters to search for specific information.

[1517] "Authentication Information" means the authentication means required for a user to access the system, including a user ID and password.

[1518] A "server" is a computer system that retrieves search results from multiple information sources and processes user search queries.

[1519] An "information source" is a location or system where data or information is stored, including cloud storage, email services, local databases, etc.

[1520] "Search results" are data and information retrieved from information sources based on search keywords.

[1521] "Viewing authority" is the right that a user has to access and view specific information.

[1522] An "authority request template" is a fixed phrase used when a user requests permission to view information that the user requires.

[1523] A "voice recognition engine" is software or hardware for converting voice commands into text data.

[1524] A "work support robot" is a robot that supports the work of workers in factories and manufacturing sites.

[1525] "Related Information" is supplemental data or information related to a search query that is provided with search results.

[1526] This invention is a system for improving the efficiency of information search and management of viewing authority in factories and manufacturing sites, and uses work support robots to enable workers to quickly obtain the information they need. This system allows for a continuous process from entering search keywords to obtaining related information, dramatically improving work efficiency.

[1527] System configuration

[1528] The system consists of the following main components:

[1529] 1. Terminal: A device through which users input search keywords and obtain information. This includes smartphones, smart glasses, head-mounted displays, etc.

[1530] 2. Server: A computer system that retrieves search results from multiple information sources and processes the user's search query. The specific server used can be a cloud server or a local server.

[1531] 3. Information Source: The location or system where data or information is stored, such as cloud storage, email services, or local databases.

[1532] 4. Speech recognition engine: Software or hardware that converts voice commands into text data, such as the Google Speech-to-Text API or Amazon Transcribe.

[1533] 5. Work support robot: A robot that supports workers in their work. It connects to the user's device and provides necessary information.

[1534] System Operation

[1535] 1. Speech Recognition:

[1536] The user issues a voice command such as "Show me the instruction manual for part X."

[1537] A voice recognition engine converts the voice command into text data.

[1538] 2. Submit a search request:

[1539] The device sends the entered search keyword (text data) and authentication information to the server. The communication uses the HTTPS protocol to ensure security.

[1540] 3. Search process:

[1541] The server sends a search request using search keywords to multiple information sources, and API requests are made to cloud storage, email services, and local databases.

[1542] 4. Search Results Integration:

[1543] The server consolidates the search results received from each information source, extracts metadata (file name, creation date, file type, etc.), and organizes them.

[1544] 5. Viewing permission verification and support:

[1545] The server checks the user's viewing rights for each search result. If the user does not have the viewing rights, it automatically generates and provides a permission request template and the contact information of the person with the permission.

[1546] 6. Displaying search results and related information:

[1547] The server sends the search results along with related information to the terminal, which then displays the processed data in an easy-to-read format for the user and provides an authorization link if necessary.

[1548] Specific examples

[1549] For example, when a worker searches for "the instruction manual for part X," the following steps are taken:

[1550] The user issues a voice command such as, "Show me the instruction manual for part X."

[1551] The speech recognition engine converts this speech into text data and sends it to the server.

[1552] The server searches for the required information from multiple information sources and integrates the results.

[1553] For information you do not have permission to view, we will provide you with a template and contact information for requesting permission.

[1554] The work support robot notifies the terminal of search results, helping the user to quickly obtain information.

[1555] Prompt Sentence Examples

[1556] The following prompt sentences can be used:

[1557] "Show me the instruction manual for part X"

[1558] This invention allows workers to quickly obtain the information they need at a factory or manufacturing site, thereby improving work efficiency and accuracy.

[1559] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1560] Step 1:

[1561] The user inputs a voice command. The user says, "Show me the instruction manual for part X." The input at this point is the user's voice data. The output is sent to the speech recognition engine.

[1562] Step 2:

[1563] A speech recognition engine converts speech into text. A speech recognition engine (for example, Google Speech-to-Text API) receives speech data and converts it into text data. Specifically, the speech data undergoes acoustic signal processing and natural language processing to be converted into text data such as "Show me the instruction manual for part X." The input is speech data, and the output is text data.

[1564] Step 3:

[1565] The device sends a search request to the server. The device encrypts the text data (search keywords) obtained from the voice recognition engine and the user's authentication information using the HTTPS protocol and sends them to the server. The input is the text data and authentication information, and the output is the request sent to the server.

[1566] Step 4:

[1567] The server receives the request and analyzes the search keywords. The server analyzes the search keywords and authentication information from the received request and identifies the information sources that the user can access. Specifically, it analyzes the search keywords and understands their vocabulary and syntax using a parser. The input is the search keywords and authentication information, and the output is a list of accessible information sources.

[1568] Step 5:

[1569] The server sends a search query to the information source. The server makes a search request to the identified information source (cloud storage, email service, local database, etc.) using the appropriate API. The input is a list of information sources and search keywords, and the output is the search results obtained from each information source.

[1570] Step 6:

[1571] The server integrates the search results and extracts metadata. The server receives and integrates the search results obtained from each information source. It also extracts metadata (file name, creation date, file type, etc.) for each search result. The input is the search results from each information source, and the output is the integrated search results and metadata.

[1572] Step 7:

[1573] The server checks the viewing permissions. The server checks whether the user has permission to view each item in the integrated search results. If the user does not have permission, the server does not provide the item directly to the user, but also generates a template and contact information for permission request. The input is the integrated search results and the user's authentication information, and the output is the permission-confirmed search results and permission request information.

[1574] Step 8:

[1575] The server organizes the search results and related information and sends them to the terminal. The server organizes the authorized search results and related information into a package and sends it to the terminal. The input is the authorized search results and related information, and the output is the package sent to the terminal.

[1576] Step 9:

[1577] The terminal displays the search results and related information to the user. The terminal analyzes the package received from the server and displays the search results and related information in an easy-to-read format for the user. It also provides an authorization link if necessary. The input is the package data from the server, and the output is the information displayed to the user.

[1578] Through the above processing steps, users can quickly and efficiently obtain the information they need at the factory or manufacturing site.

[1579] 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.

[1580] The present invention is an information retrieval system incorporating an emotion engine that recognizes user emotions. When a user inputs search keywords from a terminal and presses a search button, the server executes a search across multiple information sources and provides the results to the user. It also supports the user in obtaining viewing authority for information that requires it. The system of the present invention uses the emotion engine to analyze the user's emotions, and based on that, it rearranges the priority of search results, makes suggestions in real time, and provides personalized search results.

[1581] System Program Processing

[1582] 1. User enters search keywords:

[1583] When a user enters search keywords into the device's search bar and presses the search button, the device detects the user's voice and facial expressions, and prepares the emotion engine to analyze them.

[1584] 2. The device sends a search request to the server:

[1585] The device packages the entered search keywords, user authentication information, and emotion data into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted, so the information is transmitted securely.

[1586] 3. The server receives and parses the request:

[1587] The server receives the request, analyzes the search keywords and the user's authentication information, and also analyzes the emotion data provided by the emotion engine to understand the user's current emotional state. After analysis, it obtains a list of accessible information sources based on the user's authentication information.

[1588] 4. The server initiates a search for each information source:

[1589] The server sends a search request based on the search keywords to the identified information sources, which may include cloud storage services, email services, local storage, etc. The server calls the appropriate API for each information source.

[1590] 5. The server receives and organizes the search results:

[1591] Each information source receives a search request, searches for the relevant data, and returns the results to the server. The server receives search results from multiple information sources, integrates them into a single dataset, and adjusts the priority of search results based on an emotion engine.

[1592] 6. The server checks the permissions:

[1593] The server checks the user's viewing permissions for each result in the integrated dataset. For each result, it compares the user's permission information and distinguishes between results that are viewable and those that are not.

[1594] 7. Server supports permissions:

[1595] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[1596] 8. The server collects emotional data and provides personalized search results:

[1597] The emotion engine collects user emotional data and personalizes search results based on past emotional patterns, providing search results optimized for the user's past emotional history.

[1598] 9. Your device will display the search results:

[1599] The device analyzes the package received from the server and displays it in a visually easy-to-understand format for the user. Search results are displayed in a list format, with links to each result provided. In addition, related information is displayed at the same time, allowing users to smoothly access the information they need.

[1600] Specific examples

[1601] For example, if a user searches for the keyword "project budget" and looks worried, the system will recognize that emotion. The emotion engine will determine that the user is stressed and will change the priorities to display information that needs immediate attention. It will also display related information that is useful for project management, allowing users to quickly access the information they need.

[1602] The present invention not only enables users to quickly obtain necessary information from various information sources, but also enables them to efficiently use related information. Furthermore, personalized search results that take into account the user's feelings are provided, further improving the search experience. Furthermore, the present invention also enables efficient handling of information that requires viewing authorization, significantly improving work efficiency.

[1603] The processing flow will be explained below.

[1604] Step 1:

[1605] The user enters search keywords into the search bar of the device and presses the search button. This operation causes the device to acquire the search keywords.

[1606] Step 2:

[1607] The device detects the user's voice and facial expressions, and the emotion engine prepares to analyze them. The emotion engine collects and analyzes the user's emotional data to determine their real-time emotional state.

[1608] Step 3:

[1609] The device packages the search keywords, user authentication information, and emotion data into a single request and sends it to the server using the HTTPS protocol. This communication is encrypted and therefore secure.

[1610] Step 4:

[1611] The server receives the request, analyzes the search keywords and user authentication information, verifies whether the user authentication information is valid, and obtains a list of information sources that the user can access.

[1612] Step 5:

[1613] The server analyzes the emotional data and uses it to understand the user's current emotional state. The emotion engine determines, for example, whether the user is feeling stressed or anxious.

[1614] Step 6:

[1615] The server sends a search request based on the search keywords to the identified information sources, calling the appropriate API for each information source, such as cloud storage, email service, or local storage.

[1616] Step 7:

[1617] Each information source receives a search request, searches for the relevant data, and returns the results to the server, which receives the search results from multiple information sources and combines them into a single dataset.

[1618] Step 8:

[1619] The server checks the user's viewing permissions for each result in the integrated dataset, and distinguishes between data the user has permission to view and data they do not.

[1620] Step 9:

[1621] For information that a user does not have permission to view, the server collects the information necessary to apply for permission. Specifically, it obtains contact information for the authorized person and an application template, and prepares to provide them to the user.

[1622] Step 10:

[1623] The server adjusts the priority of search results based on the emotion data. For example, if the user feels urgent, it adjusts the display to show information with a high degree of urgency.

[1624] Step 11:

[1625] The server organizes and structures the search results and related information, including personalized search results based on an emotion engine.

[1626] Step 12:

[1627] The device analyzes the package received from the server and displays it in a visually easy-to-understand format to the user. Search results are displayed in a list format with links to each result, along with related information and instructions for requesting authorization.

[1628] Step 13:

[1629] Users can operate their devices to view search results and related information, and open or download the information as needed. Furthermore, for information that requires viewing permission, they can apply for permission through their devices.

[1630] Step 14:

[1631] When a user actually uses information, the system accumulates emotional data about the user and uses it to personalize future search results.

[1632] These are the specific processing steps of a system incorporating an emotion engine, which allows users to quickly and efficiently access the information they need and provides them with an optimal information experience that matches their emotions at the time.

[1633] Example 2

[1634] 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."

[1635] Conventional information search systems present search results without considering the user's emotional state, which can prevent users from quickly accessing the information they need. Furthermore, because access to unauthorized information is limited, users often waste time accessing the information they need. This reduces user convenience and hinders work efficiency.

[1636] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1637] In this invention, the server includes a means for an emotion analysis device to analyze a user's emotional state and adjust the priority of search results, a means for collecting the user's emotional data and personalizing the search results based on past emotional patterns, and a means for providing contact information of an authorized person and an application template for information in the search results that the user does not have permission to view. This makes it possible to provide personalized search results that take the user's emotional state into consideration, enabling quick access to necessary information. Furthermore, by providing an efficient method for accessing information that requires permission, the user's work efficiency is significantly improved.

[1638] "User" refers to a user who accesses and operates the system.

[1639] "Terminal" refers to an input / output device through which a user inputs search keywords and displays search results.

[1640] "Server" means the central processing unit that receives search requests and collects and organizes data from multiple sources.

[1641] A "search keyword" refers to text data that a user inputs when searching for information.

[1642] "Authentication information" is data used to verify a user's identity, and includes passwords, tokens, and the like.

[1643] "Information source" refers to a data storage location such as a database or cloud storage where the data to be searched is stored.

[1644] "Search results" refers to data retrieved from information sources that match or are related to the search keywords.

[1645] "Viewing privileges" refers to permission to access or view specific data.

[1646] "Authorized Person" means a person or organization that has access to specific information.

[1647] "Request Template" refers to a standard document used to request access rights.

[1648] An "emotion analysis device" refers to a device or software that analyzes a user's voice and facial expressions to evaluate their emotional state.

[1649] "Personalization" refers to optimizing search results based on a user's individual needs and past behavior.

[1650] The present invention is an information retrieval system that analyzes user emotions and adjusts the priority of search results. In this system, a user inputs search keywords from a terminal, a server executes a search against multiple information sources, and provides personalized search results based on the emotional data.

[1651] First, the user enters search keywords into the device's search bar and presses the search button. At this time, the device is equipped with a camera and microphone that detects the user's voice and facial expressions. This emotional data is analyzed by an emotion analyzer. The device then sends the search keywords, user authentication information, and emotional data as a single request data to the server using the HTTPS protocol.

[1652] The server then analyzes the received request and sends a search request to multiple information sources (cloud storage, local storage, etc.) using the appropriate API based on the search keywords. The server then integrates the search results returned from each information source and adjusts the priority of the search results based on the results of the sentiment analysis device.

[1653] The server checks the user's viewing permissions for each result in the integrated dataset. For information the user does not have permission to view, it collects contact information for authorized individuals and a permission request template and provides them to the user. Additionally, an emotion analyzer collects the user's past emotional patterns and provides personalized search results.

[1654] Finally, the device analyzes the search results received from the server and displays them to the user in a visually easy-to-understand format. Search results are displayed in a list format, with links to each result provided. Related information is also displayed at the same time, allowing the user to quickly access the information they need.

[1655] Specific examples

[1656] For example, if a user looks worried while searching for the keyword "project budget," the emotion analyzer will recognize this emotion. It will determine that the user is stressed and reprioritize search results to display information that requires immediate attention. It also displays related information useful for project management, allowing users to quickly access the information they need.

[1657] Prompt Sentence Examples

[1658] For example, you can enter the following prompts for a generative AI model:

[1659] "Please provide search results for 'project budget'. The user currently appears worried. Please also provide relevant information to help them reduce their stress."

[1660] The present invention allows users to quickly receive personalized search results according to their emotional state, and also allows efficient access to authorized information, significantly improving work efficiency.

[1661] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1662] Step 1:

[1663] The user enters search keywords into the device's search bar and presses the search button.

[1664] Input: Search keyword

[1665] Specific operation: A user enters the search keyword "project budget" into the device's search bar. The device's camera and microphone are activated to collect the user's facial expressions and voice.

[1666] Step 2:

[1667] The device sends a search request to the server.

[1668] Input: Search keywords, user authentication information, facial expressions and voice data

[1669] How it works: The device packages search keywords, user authentication information, and collected emotion data together and sends them to the server using the HTTPS protocol. The communication is encrypted.

[1670] Step 3:

[1671] The server receives and parses the request.

[1672] Input: Search keywords, user credentials, emotional data

[1673] Specific operation: The server receives the request and analyzes the search keywords and user authentication information. The emotion analyzer analyzes the emotional data and understands the user's emotional state. After analyzing the request, it obtains a list of accessible information sources based on the user's authentication information.

[1674] Step 4:

[1675] The server initiates a search for each information source.

[1676] Input: Search keywords, list of information sources

[1677] Specific operation: The server sends a search request based on the search keyword to the identified information sources using the appropriate API. It also sends a request to collect data from each information source.

[1678] Step 5:

[1679] The server receives and organizes the search results.

[1680] Input: Search results from each information source

[1681] Specific operation: The server receives search results returned from each information source and integrates them into a single dataset. At the same time, it adjusts the priority of search results based on the sentiment analysis device. Then, it organizes the integrated search results.

[1682] Step 6:

[1683] The server checks the permissions.

[1684] Input: Integrated search results, user permission information

[1685] Specific operation: The server checks the user's viewing permissions for each result in the integrated dataset. It checks whether each result is accessible to the user and distinguishes between viewable and inaccessible data.

[1686] Step 7:

[1687] The server provides support for permissions.

[1688] Input: Search results you do not have permission to view

[1689] Specific operation: For information that the user does not have permission to view, the server collects contact information of the person who has permission and a permission application template, and provides this to the user.

[1690] Step 8:

[1691] The server collects emotional data and provides personalized search results.

[1692] Input: User emotion data, past emotion patterns

[1693] How it works: The emotion analyzer collects user emotional data and personalizes search results based on past emotional patterns, resulting in optimized search results that take into account the user's past history and emotional state.

[1694] Step 9:

[1695] Your device will display the search results.

[1696] Input: Search results received from the server

[1697] Specific operation: The device analyzes the search results received from the server and displays them to the user in a visually easy-to-understand format. Search results are displayed in a list format, with links to each result and related information.

[1698] (Application example 2)

[1699] 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."

[1700] Conventional information search systems do not take the user's emotions into account, making it difficult to provide information that is optimal for the user's current mental state. Furthermore, organizing search results and verifying user access permissions takes time, reducing the efficiency of information retrieval. Improving the user experience is particularly challenging for content delivery services, which require personalized information based on emotions.

[1701] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for analyzing the emotional state of the user using an emotion analysis engine and changing the priority of search results based on the result, means for collecting related information together with the search results and providing the same to the user, and means for the terminal to display the search results and related information to the user. This makes it possible to provide optimal information according to the emotional state of the user.

[1702] A "terminal" is a computing device used by a user to enter search keywords and display search results. Examples of such devices include smartphones, tablets, and personal computers.

[1703] A "search keyword" is a character string or phrase that a user inputs into a terminal to obtain information.

[1704] "Authentication information" refers to data that a user uses to verify their identity and access rights, such as a user ID and password.

[1705] A "server" is a computer system that receives search keywords and authentication information sent from a terminal, obtains search results from multiple information sources, and performs processing.

[1706] An "information source" is a data repository such as a database, cloud storage, or email server that the server searches.

[1707] "Search results" are a collection of information that the server retrieves from information sources based on the search keywords.

[1708] "Access rights" are data that indicate a user's permissions and entitlements to access specific information.

[1709] An "emotion analysis engine" is software and algorithms that analyze emotional data such as a user's facial expressions and voice, and estimate their emotional state.

[1710] "Emotional state" is information that indicates the user's current psychological and emotional state, such as happiness, sadness, anger, etc.

[1711] "Personalized" refers to a method of providing services and information that are optimized according to the characteristics, preferences, and emotional state of each individual user.

[1712] "Related information" refers to supplementary information related to search results, and is data that allows users to smoothly access the information they need. For example, related papers and supplementary materials.

[1713] The present invention is a system for content distribution services that analyzes user emotions and changes the priority of search results and recommended content based on the analysis. This system is composed of a terminal, a server, an emotion analysis engine, and multiple information sources. The specific system configuration and processing procedures are described in detail below.

[1714] System Configuration

[1715] Terminal

[1716] A device used by users to input search keywords. Examples include smartphones, tablets, and personal computers. These devices are equipped with cameras and microphones, which can collect emotional data from the user's facial expressions and voice.

[1717] server

[1718] It is a computer system that receives search keywords, authentication information, and emotion data sent from the device, and retrieves and organizes search results from multiple sources. The server includes functions for search processing, emotion analysis, and personalized content recommendation.

[1719] Sentiment Analysis Engine

[1720] Facial expression recognition is performed using libraries such as OpenCV, and DSP (Digital Signal Processing) technology is also used to analyze voice data. This allows the user's emotional state to be analyzed in real time and the data to be sent to the server.

[1721] source of information

[1722] A data repository against which a server performs searches, such as cloud storage, a database, or an email server.

[1723] Processing Flow

[1724] Enter and submit search keywords

[1725] The user enters search keywords into the device's search bar. The device's camera and microphone capture the user's facial expressions and voice, which are then analyzed by the emotion analysis engine. The resulting emotion data, search keywords, and authentication information are then sent to the server as a single request.

[1726] Obtaining and analyzing search results

[1727] The server analyzes the received request and retrieves search results from multiple sources based on the user's emotional state. The search results are first reprioritized through a sentiment analysis engine.

[1728] Collecting and organizing relevant information

[1729] The server then organizes the search results and sends them to the device. The related information includes supplementary data related to the information the user is looking for, enriching the user's search experience.

[1730] View search results and related information

[1731] The terminal visually displays the search results and related information received from the server to the user. The list of search results includes links to each result, and related information is also displayed simultaneously for easy access by the user.

[1732] Specific examples

[1733] For example, if a user searches for "latest comedy movies" and looks sad, the system will recognize that emotion and prioritize recommendations for uplifting comedy movies. Related information will also be displayed, including interviews with popular comedic actors and related videos.

[1734] Prompt Sentence Examples

[1735] Below is an example prompt that indicates the user's emotion is "sad":

[1736] USER_PROMPT: "I want to watch the latest fun movie. I'm feeling down and need some cheering."

[1737] In this way, a concrete system is provided for analyzing a user's emotional state in real time and recommending optimal content based on the analysis, which can provide a more satisfying search experience for the user.

[1738] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1739] Step 1:

[1740] A user enters a search keyword into the device's search bar. The device uses a camera and microphone to collect emotional data from the user's facial expressions and voice. The emotion analysis engine processes this data and analyzes the user's emotional state.

[1741] Input: Search keywords, user facial expression data, voice data

[1742] Processing: Search keywords are retained, and facial expression and voice data are analyzed by an emotion analysis engine to extract emotional states.

[1743] Output: Search keywords, emotional state

[1744] Step 2:

[1745] The device packages search keywords, authentication information, and emotional state into a single request and sends it to the server using the HTTPS protocol.

[1746] Input: Search keywords, emotional state, credentials

[1747] Processing: Package these data into a single request

[1748] Output: Packaged request (search keywords, emotional state, authentication information)

[1749] Step 3:

[1750] The server analyzes the received request and sends a search request to multiple sources based on the search keywords, while analyzing the emotional state and preparing to provide personalized results.

[1751] Input: Packaged request

[1752] Processing: Sending search requests to sources based on search keywords, analyzing emotional state, preparing for personalization

[1753] Output: Search results, analyzed emotional state

[1754] Step 4:

[1755] The server consolidates the search results received from the information sources, and based on the results of the sentiment analysis engine, reprioritizes the search results and places the most important results at the top.

[1756] Input: Search results from sources, emotional state

[1757] Processing: Integration of search results, prioritization based on emotional state

[1758] Output: prioritized search results

[1759] Step 5:

[1760] The server organizes and repackages the prioritized search results and related information for delivery to the user.

[1761] Input: prioritized search results, related information

[1762] Processing: Organizing search results and related information, repackaging results

[1763] Output: Repackaged search results and related information

[1764] Step 6:

[1765] The repackaged results are sent to the device, which receives them and visually displays them to the user, providing personalized information based on the user's emotional state.

[1766] Input: Repackaged search results and related information

[1767] Processing: Sending the results to the terminal and preparing them for display

[1768] Output: Search results and related information visually displayed to the user

[1769] In this way, the system proceeds step by step, performing specific data processing and calculations at each step, ultimately providing the user with personalized search results based on their emotions.

[1770] 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.

[1771] 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.

[1772] 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.

[1773] 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.

[1774] 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.

[1775] 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.

[1776] 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).

[1777] 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.

[1778] 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."

[1779] 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.

[1780] 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).

[1781] 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.

[1782] 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.

[1783] 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.

[1784] 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.

[1785] 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.

[1786] 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.

[1787] 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.

[1788] 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.

[1789] 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.

[1790] 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.

[1791] The following is further disclosed regarding the above embodiment.

[1792] (Claim 1)

[1793] A means for inputting search keywords from a terminal;

[1794] means for transmitting search keywords and authentication information to a server;

[1795] a means for the server to obtain search results from multiple information sources;

[1796] a means by which the server checks the user's viewing privileges in the search results;

[1797] a means by which the server supports user viewing privileges;

[1798] A means for the server to organize search results and related information and send them to the terminal;

[1799] means for the terminal to display search results and related information to the user;

[1800] A system including:

[1801] (Claim 2)

[1802] and means for providing contact information of an authorized person and an application template for information that the user does not have permission to view from the search results.

[1803] 10. The system of claim 1.

[1804] (Claim 3)

[1805] The server further includes means for collecting and providing related information together with the search results to the user.

[1806] 10. The system of claim 1.

[1807] "Example 1"

[1808] (Claim 1)

[1809] A means for a user to input a search keyword from an information processing device;

[1810] means for transmitting search keywords and authentication information to a server;

[1811] a means for the server to retrieve search results from multiple data sources;

[1812] a means by which the server checks the user's viewing privileges in the search results;

[1813] a means by which the server supports the user's browsing privileges;

[1814] A means for the server to organize search results and related information and transmit them to the user information processing device;

[1815] a means for displaying search results and related information to a user by a user information processing device;

[1816] A system including:

[1817] (Claim 2)

[1818] and means for providing contact information of an authority holder and a template for requesting permission for information that the user does not have permission to view from the search results.

[1819] 10. The system of claim 1.

[1820] (Claim 3)

[1821] The server further includes means for collecting and providing related information together with the search results to the user.

[1822] 10. The system of claim 1.

[1823] "Application Example 1"

[1824] (Claim 1)

[1825] A means for inputting search keywords from a terminal;

[1826] means for transmitting search keywords and authentication information to a server;

[1827] a means for the server to obtain search results from multiple information sources;

[1828] a means by which the server checks the user's viewing privileges in the search results;

[1829] a means by which the server supports user viewing privileges;

[1830] A means for the server to organize search results and related information and send them to the terminal;

[1831] means for the terminal to display search results and related information to the user;

[1832] A means for converting search keywords into text using a voice recognition engine;

[1833] A means for automatically generating and providing a template for an authorization request;

[1834] A means for the work support robot to connect to the terminal and notify the search results;

[1835] A system including:

[1836] (Claim 2)

[1837] and means for providing contact information of an authorized person and an application template for information that the user does not have permission to view from the search results.

[1838] 10. The system of claim 1.

[1839] (Claim 3)

[1840] The server further includes means for collecting and providing related information together with the search results to the user.

[1841] 10. The system of claim 1.

[1842] "Example 2: Combining Emotion Engines"

[1843] (Claim 1)

[1844] A means for a user to input a search keyword from an input device;

[1845] means for transmitting search keywords and authentication information to a central processing unit;

[1846] means for the central processing unit to obtain search results from a plurality of sources;

[1847] a means for the central processing unit to verify the user's viewing authority in the search results;

[1848] a means for the central processing unit to support the user's viewing authority;

[1849] a means for the central processing unit to organize the search results and additional information and send them to the input device;

[1850] means for the input device to display search results and additional information to the user;

[1851] a means for adjusting the priority of search results by an emotion analysis device analyzing the emotional state of a user;

[1852] a means of collecting user emotional data and personalizing search results based on past emotional patterns;

[1853] A system including:

[1854] (Claim 2)

[1855] 2. The system of claim 1, further comprising means for providing contact information of an authorized person and an application template for information from the search results for which the user does not have viewing authority.

[1856] (Claim 3)

[1857] 10. The system of claim 1, further comprising means for the central processing unit to collect and provide additional information to the user along with the search results.

[1858] "Application example 2 when combining emotion engines"

[1859] (Claim 1)

[1860] A means for inputting search keywords from a terminal;

[1861] means for transmitting search keywords and authentication information to a server;

[1862] a means for the server to obtain search results from multiple sources;

[1863] a means by which the server checks the user's access privileges in the search results;

[1864] a means by which the server assists the user in access authorization;

[1865] a means for the server to analyze the emotional state of the user using an emotion analysis engine and change the priority of search results based on the analysis;

[1866] A means for the server to organize search results and related information and send them to the terminal;

[1867] means for the terminal to display search results and related information to the user;

[1868] A system including:

[1869] (Claim 2)

[1870] and means for providing contact information and an application template for an authorized person for information that the user does not have access to from the search results.

[1871] 10. The system of claim 1.

[1872] (Claim 3)

[1873] The server further includes means for collecting and providing related information together with the search results to the user.

[1874] 10. The system of claim 1. [Explanation of symbols]

[1875] 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. A means for inputting search keywords from a terminal; means for transmitting search keywords and authentication information to a server; a means for the server to obtain search results from multiple information sources; a means by which the server checks the user's viewing privileges in the search results; a means by which the server supports user viewing privileges; A means for the server to organize search results and related information and send them to the terminal; means for the terminal to display search results and related information to the user; A system including:

2. and means for providing contact information of an authorized person and an application template for information that the user does not have permission to view from the search results. The system of claim 1 .

3. The server further includes means for collecting and providing related information together with the search results to the user. The system of claim 1 .

Images