system

Abstract

Provide a system. When a user inputs a specific keyword, Identify relevant tools and pages, A way to automatically launch these tools and pages and advance to the previous screen where you can operate them, means for analyzing the specific keyword; A means for identifying related tools and pages based on the analysis results; means for automatically launching the identified tool or page; A system including:

Description

[Technical Field]

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

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

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

[0004] In recent years, the number of situations requiring various data creation tasks has increased. However, this requires users to manually launch multiple tools and pages and prepare each operation screen, which is time-consuming and laborious. In particular, efficiency drops significantly when collaboration between different tools is required. In such situations, a system that provides an environment where users can easily start creating data is desired. [Means for solving the problem]

[0005] To solve the above problems, the present invention provides a system that allows a user to input specific keywords, identifies related tools and pages, automatically launches them, and advances to the previous screen where they can be operated. This system also includes a means for analyzing keywords and identifies related tools and pages based on the analysis results. The identified tools and pages are automatically launched to a standby state, allowing the user to immediately begin data creation work. Furthermore, a natural language processing algorithm is used for the keyword analysis, thereby improving the analysis accuracy of the keywords entered by the user.

[0006] "User" refers to the person or end user who operates the System and inputs specific keywords.

[0007] "Specific Keywords" refers to phrases or words that a user can enter to trigger a specific data creation task or related tool page.

[0008] "Related tools and pages" refers to software applications and web pages that are required for a user to perform a particular data creation task.

[0009] "Automatically launch" refers to the system opening the relevant tool or page without user intervention.

[0010] The "operable screen in front" refers to the screen in a state before the necessary operation is performed so that the user can immediately start working.

[0011] The term "means" refers to a method, process, or module for realizing each function of the present system.

[0012] "Means for analyzing" refers to a function for interpreting keywords entered by a user and identifying the intended task.

[0013] "Means of identification" refers to the function of selecting relevant tools and pages based on the analysis results.

[0014] "Standby state" refers to the pre-execution, ready state in which a tool or page is waiting for user interaction.

[0015] "Natural language processing algorithms" refer to techniques and methods that allow computers to understand and analyze human language. [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 invention is a system that automatically identifies and launches related tools and pages when a user inputs a specific keyword, and advances to the previous screen where the tool or page can be operated. This system consists of the following main components:

[0038] System Configuration

[0039] 1. User Interface: A device or software that allows a user to enter specific keywords.

[0040] 2. Server: Responsible for analyzing the entered keywords and identifying the necessary tools and pages.

[0041] 3. Terminal: A device that automatically launches a tool or page based on instructions from the server.

[0042] Program processing

[0043] The following explains the program processing of this system in natural language.

[0044] 1. User inputs keywords:

[0045] The user inputs a specific keyword (e.g., "I want to create graphic data") into the input interface of the terminal.

[0046] 2. Getting and sending input:

[0047] The terminal acquires the keyword entered by the user and transmits it to the server.

[0048] Example: The device sends a keyword to the server as an HTTP POST request.

[0049] 3. Server analysis:

[0050] The server analyzes the received keywords.

[0051] This analysis uses natural language processing algorithms.

[0052] The server identifies the necessary tools and pages based on the analysis results and generates a list.

[0053] 4. Identify the tool or page:

[0054] Based on the tool or page identified by the server, an instruction command for launching it is created.

[0055] For example: If "Adobe Photoshop" and "Design Template Page" are identified as needed, commands to launch these tools are generated.

[0056] 5. Launching via terminal:

[0057] Based on the instruction command received by the device from the server, the device automatically launches the relevant tool (e.g., Photoshop) or page (e.g., a specific URL).

[0058] 6. Preparing the operation screen:

[0059] The launched tool or page advances to the previous screen where it can be operated and waits for a user operation.

[0060] Example: Photoshop will be in standby with the template open and the browser will display the design template page.

[0061] Specific examples

[0062] Example 1: Database data creation case

[0063] 1. User:

[0064] Enter "I want to create database data."

[0065] 2. Terminal:

[0066] Send the keyword to the server.

[0067] 3. Server:

[0068] Analyze the keywords and determine that an "SQL database manager" and a "data formatting tool" are needed.

[0069] Generates a command to launch the tool.

[0070] 4. Terminal:

[0071] Run the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[0072] 5. Operation screen:

[0073] Each tool goes into standby mode and is ready for the user to begin work.

[0074] 6. Users:

[0075] Using these tools, we begin the process of creating data for the database.

[0076] This system allows users to quickly begin creating the necessary data without much effort, which is particularly beneficial in improving efficiency and reducing the burden on users.

[0077] The processing flow will be explained below.

[0078] Step 1:

[0079] The user uses the input interface of the terminal to input a specific keyword such as "I want to create ●● data."

[0080] Step 2:

[0081] The device acquires the input keyword and sends it to the server as an HTTP POST request, along with the user's identification information and session information.

[0082] Step 3:

[0083] The server analyzes the received keywords and uses natural language processing algorithms to determine what the intended task is.

[0084] Step 4:

[0085] The server then lists related tools and pages based on the analysis results. For example, if the user wants to create graphic data, it will select image editing software and design template pages.

[0086] Step 5:

[0087] The server generates a command to automatically launch the specified tool or page and sends it to the terminal.

[0088] Step 6:

[0089] Based on the command received from the server, the device launches the specified tool or page, for example, launching "image editing software" and accessing "design template page" in the default browser.

[0090] Step 7:

[0091] The launched tool or page advances to the front screen where it can be operated and goes into standby mode. For example, image editing software with a template open and a displayed design template page.

[0092] Step 8:

[0093] The user starts specific data creation work in the tool or page that is in standby mode.

[0094] Through the above processing steps, the user can easily access related tools and pages and quickly begin data creation work.

[0095] Example 1

[0096] 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."

[0097] Conventional systems required users to manually search for and launch specific tools or pages, which reduced operational efficiency. Furthermore, there was no system that could automatically identify and launch tools or pages based on specific keywords. This made it difficult for users to start working quickly.

[0098] 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.

[0099] In this invention, the server includes means for acquiring specific keywords and transmitting them to the server, means for analyzing the received keywords using a natural language processing algorithm, and means for identifying and listing related tools and pages based on the analysis results. This allows a user to automatically launch related tools and pages by simply inputting a specific keyword, enabling them to quickly become operable.

[0100] "Users"

[0101] refers to an end user who operates the system and enters a specific keyword.

[0102] "Interface"

[0103] It refers to the input device and software interaction method that allows users to input keywords.

[0104] Specific keywords

[0105] refers to a string of characters that a user can enter to automatically identify and launch related tools or pages.

[0106] "server"

[0107] refers to the central processing unit responsible for receiving and analyzing input keywords.

[0108] "Natural Language Processing Algorithms"

[0109] refers to a set of computational techniques that the server uses to interpret and analyze the meaning of keywords received from users.

[0110] Related tools and pages

[0111] refers to software applications and web pages identified based on keyword analysis results.

[0112] "command"

[0113] refers to the execution instructions sent from the server to the device to launch the specified tool or page.

[0114] "tool"

[0115] refers to a software application that is used to perform a specific task or operation.

[0116] "page"

[0117] refers to a particular web page displayed in a web browser.

[0118] "Standby state"

[0119] This refers to a state in which the launched tool or page is ready to accept user operations.

[0120] This invention is a system that automatically identifies and launches related tools and pages when the user inputs a specific keyword, and advances to the next screen where the user can operate the tool. This system is composed of the main components of the user interface, server, and terminal. The role and specific operation of each component are described below.

[0121] System Configuration

[0122] User Interface

[0123] The user interface includes devices and software that allow users to input keywords. Specifically, it corresponds to an input form on a web browser or an input field in a desktop application. Users input keywords through these interfaces.

[0124] server

[0125] The server analyzes the received keywords and identifies the necessary tools and pages. The server is equipped with a natural language processing algorithm, and uses, for example, Python scripts or existing natural language processing libraries (e.g., spaCy, NLTK). Based on the analysis results, the server lists the necessary tools and pages and generates commands to launch them.

[0126] Terminal

[0127] The terminal is a device that automatically launches tools and pages based on instructions from the server, specifically by using batch scripts or shell scripts to execute tools and web pages.

[0128] Program processing

[0129] 1. Keyword input by the user: The user inputs a specific keyword into the input field of a web browser or desktop application. For example, the user inputs a keyword that expresses a specific need, such as "I want to create graphic data."

[0130] 2. Obtaining and sending input: The terminal obtains the keywords entered by the user and sends them to the server as an HTTP POST request.

[0131] 3. Analysis by the server: The server receives the keywords sent from the device and analyzes them using a natural language processing algorithm. From the analysis results, it identifies the necessary tools and pages and creates a list of them.

[0132] 4. Identifying tools and pages: The server generates commands to launch the listed tools and pages. For example, in the case of "graphic data creation," "graphic design software" and "design template pages" are identified and commands to launch them are generated.

[0133] 5. Launch by the terminal: The terminal automatically launches related tools or pages based on the instruction commands received from the server, for example, launching specific software and displaying a specified web page in a browser.

[0134] 6. Preparing the operation screen: The launched tool or page is prepared until it is operational and ready for user operation. For example, graphic design software will be on standby with a template open, and the browser will display the design template page.

[0135] Specific examples

[0136] Example 1: Database data creation case

[0137] 1. User: The user enters, "I want to create database data."

[0138] 2. Device: The device obtains the keyword and sends it to the server as an HTTP POST request.

[0139] 3. Server: The server analyzes the keywords and determines that a "database management tool" and a "data formatting tool" are required. It then generates commands to launch these tools.

[0140] 4. Terminal: The terminal executes the command received from the server and automatically launches the "Database Management Tool" and "Data Formatting Tool."

[0141] 5. Operation screen: Each tool is in standby mode and ready for the user to start operating immediately.

[0142] This system allows users to quickly start creating the necessary data without much effort, making it an excellent system that significantly contributes to improving efficiency and reducing the burden on users.

[0143] Prompt Sentence Examples

[0144] An example of a prompt to be input to the generative AI model is as follows:

[0145] When a user types "I want to create database data," please explain in natural language the process that will be followed. Please provide a detailed description of each processing step on the terminal and on the server.

[0146] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0147] Step 1:

[0148] The user uses the input interface of the terminal to input a specific keyword. For example, the user may input "I want to create graphic data." This becomes input data. This input is obtained from a text box or the like in the user interface.

[0149] Specific behavior:

[0150] The user uses the keyboard to input "I want to create graphic data" into the text box.

[0151] Step 2:

[0152] The terminal takes the keyword entered by the user and formats it as an HTTP POST request to send to the server. The formatted data is the output. This request includes the entered keyword.

[0153] Specific behavior:

[0154] The terminal acquires text data such as "I want to create graphic data" from the input interface.

[0155] The terminal converts the acquired data into JSON format and sends an HTTP POST request to the server.

[0156] Step 3:

[0157] The server receives the HTTP POST request sent from the device and extracts and analyzes the keywords contained therein. This becomes the input data. The server then uses a natural language processing algorithm to analyze the keywords and create a list of the necessary tools and pages. This list becomes the output.

[0158] Specific behavior:

[0159] The server receives the HTTP request and extracts the keyword "I want to create graphic data."

[0160] Using a natural language processing algorithm (e.g., spaCy or NLTK), the keywords are analyzed and it is determined that "graphic design software" and "design template pages" are needed.

[0161] The server compiles a list of these tools and pages.

[0162] Step 4:

[0163] The server generates a command to launch the identified tool or page, and the command is the output. This generated command is sent to the device.

[0164] Specific behavior:

[0165] The server generates a command to launch the "graphic design software" (e.g., graphic_design_software.exe).

[0166] The server generates a browser command (e.g., containing a specific URL) that opens a "design template page."

[0167] Send the generated command to the terminal.

[0168] Step 5:

[0169] The device executes the command received from the server and launches the specified tool or page. The command from the server becomes the input data, and the launched tool or page becomes the output.

[0170] Specific behavior:

[0171] The terminal executes the command received from the server as an executable file.

[0172] The device will automatically open a browser and display the specified URL.

[0173] Step 6:

[0174] The launched tool or page will proceed to the nearest operable screen and wait for the user to operate. This state is the output.

[0175] Specific behavior:

[0176] Your graphic design software will be ready with the template open.

[0177] The browser will display the design template page, ready for the user to interact with.

[0178] The above is the specific processing flow of this system.

[0179] (Application example 1)

[0180] 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."

[0181] Currently, when users search for products in a virtual store, they have to manually search through a huge number of pages and product lists, which is time-consuming and labor-intensive. Furthermore, users are unable to quickly obtain specific product information, which discourages them from purchasing. To solve this problem, a system is needed that automatically identifies and launches relevant product information pages when users input specific keywords, and quickly advances to the next screen where they can operate the system.

[0182] 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.

[0183] In this invention, the server includes means for identifying information pages of related products by inputting a specific keyword, automatically launching these product information pages, and proceeding to the previous operable screen, means for analyzing the specific keyword, means for identifying related product information pages based on the analysis results, and means for automatically launching the identified product information page, thereby enabling users to access desired product information in a short time and make purchases quickly and efficiently.

[0184] A "keyword" is a word or phrase that a user enters in order to search for specific information or products.

[0185] A "product information page" is a web page or application screen that displays detailed information about a particular product.

[0186] "Launch" is an operation that puts designated software or a web page into an execution state.

[0187] The "operable screen in front" is the screen that is ready just before the user starts the desired action.

[0188] "Analysis" refers to the process of identifying related information based on the input keywords.

[0189] A "natural language processing algorithm" is an algorithm used by a computer to analyze and generate natural language.

[0190] A "server" is a computer system that provides services to other computers on a network.

[0191] A "system" is a collection of multiple elements or devices that work in conjunction with each other.

[0192] The embodiments of the present invention will be described in detail below.

[0193] This invention is a system that allows users to input specific keywords in a virtual store, identify and launch related product information pages, and proceed to the next screen where they can operate. This system aims to significantly reduce the user's time and effort and provide an efficient purchasing experience by analyzing specific keywords and automatically launching product information pages based on the analysis results.

[0194] System Configuration

[0195] The system consists of the following main components:

[0196] 1. User Interface

[0197] A smartphone application that allows users to enter specific keywords.

[0198] Example: "SmartShop Navigator," an app specifically for virtual stores.

[0199] 2. Server

[0200] Its role is to analyze the entered keywords and identify the required product information page.

[0201] Software used: Natural language processing algorithms (e.g. NLTK, spaCy).

[0202] 3. Terminal

[0203] A device that automatically launches a product information page based on instructions from the server.

[0204] Program processing

[0205] 1. User input of keywords

[0206] Users log in to the smartphone app "SmartShop Navigator" and enter specific keywords in the search bar.

[0207] For example: "I'm looking for the latest smartphone."

[0208] 2. Getting and Sending Input

[0209] The app takes the keyword entered by the user and sends it to the server as an HTTP POST request.

[0210] 3. Server Analysis

[0211] The server analyzes the received keywords and identifies related product information pages based on the analysis results.

[0212] This analysis uses natural language processing algorithms, such as NLTK or spaCy, to understand the meaning of keywords and extract related products from a database.

[0213] 4. Identifying product information pages

[0214] The server generates a URL for the identified product information page and returns it to the terminal as an instruction command.

[0215] Example: If the identified URL is "http: / / example.com / products / smartphones", send that URL to the device.

[0216] 5. Launching via terminal

[0217] The terminal automatically launches a related product information page in the browser based on the instruction command received from the server.

[0218] 6. Preparing the operation screen

[0219] The product information page is displayed in the browser, and the screen on which the user can operate is prepared.

[0220] Specific examples

[0221] If a user types "I'm looking for the latest smartphone":

[0222] The app sends the keyword to the server.

[0223] The server analyzes the keywords and identifies the URL of the "List of Newly Released Smartphones" page.

[0224] The app will automatically open this URL and display a list of new smartphone products in your browser.

[0225] Example prompt sentence:

[0226] "I'm looking for the latest smartphone."

[0227] This system allows users to efficiently access desired product information, improving the shopping experience within the virtual store. The entire system simplifies user operations and speeds up the process of purchasing.

[0228] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0229] Step 1:

[0230] A user logs in to the smartphone app "SmartShop Navigator" and enters a specific keyword. The entered keyword is saved in the app in text format. For example, a user might enter "I'm looking for the latest smartphone." This text data is used in the next step.

[0231] Step 2:

[0232] The device (smartphone app) obtains the keyword entered by the user and sends it to the server as an HTTP POST request. Input: Keyword text data "Looking for the latest smartphone." Output: HTTP POST request to the server.

[0233] Step 3:

[0234] The server extracts keywords from the received HTTP POST request and analyzes them using a natural language processing algorithm (for example, NLTK or spaCy). The purpose of the analysis is to understand the meaning of the keywords and identify product information pages related to the keywords. Input: Keyword "Looking for the latest smartphone." Data processing: Analysis using a natural language processing algorithm. Output: URL of the page "List of newly released smartphones."

[0235] Step 4:

[0236] Based on the analysis results, the server generates the URL of the relevant product information page and returns it to the terminal (smartphone app) as an instruction command. Input: URL of the product information page identified as the analysis result. Output: Instruction command for the URL "http: / / example.com / products / smartphones".

[0237] Step 5:

[0238] The terminal analyzes the instruction command received from the server and automatically launches the relevant product information page in the browser. Input: URL instruction command from the server. Action: Opens the browser and accesses the specified URL "http: / / example.com / products / smartphones". Output: Product information page displayed in the browser.

[0239] Step 6:

[0240] The product information page is displayed in the browser, and the front screen is prepared for the user to operate. The user can check the displayed product information page and begin purchasing. Input: Product information page displayed in the browser. Operation: The user can view and operate the page. Output: The user can quickly access the product information they want.

[0241] This process flow allows the user to efficiently access the desired product information, improving the shopping experience in the virtual store.

[0242] 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.

[0243] This invention is a system that, when a user inputs a specific keyword, automatically identifies and launches related tools and pages, and not only advances to the next screen where the user can operate it, but also includes an emotion engine that recognizes the user's emotions, making it possible to select more appropriate tools and pages that take the user's emotional state into consideration.

[0244] System Configuration

[0245] 1. User Interface: A device or software that allows users to input specific keywords and recognize emotions.

[0246] 2. Server: In addition to analyzing the input keywords and identifying the necessary tools and pages, it also takes into account the emotion recognition results.

[0247] 3. Terminal: A device that automatically launches a tool or page based on instructions from the server.

[0248] 4. Emotion engine: Recognizes emotions from the user's voice and facial expressions and provides the results to the server.

[0249] Program processing

[0250] The following explains the program processing of this system in natural language.

[0251] 1. User inputs keywords:

[0252] When a user inputs a specific keyword (e.g., "I want to create graphic data") into the device's input interface, the emotion engine recognizes the user's voice and facial expressions and determines their emotional state.

[0253] 2. Getting and sending input and emotions:

[0254] The device acquires the keywords entered by the user and the emotional state recognized by the emotion engine, and sends them to the server as an HTTP POST request containing the keywords and the emotion recognition results.

[0255] 3. Server analysis:

[0256] The server analyzes the received keywords and emotion recognition results, using natural language processing algorithms to identify the intended task of the keyword and then selects the most appropriate tool or page, taking into account the user's emotional state.

[0257] 4. Identify the tool or page:

[0258] The server then lists relevant tools and pages based on the analysis results. For example, if the user enters "I want to create graphic data" and determines that they are feeling tired, it will prioritize tools and pages that are easy to use.

[0259] 5. Launching tools and pages from the device:

[0260] The server generates and sends to the device an instruction command to automatically launch the specified tool or page. The device then automatically launches the associated tool (e.g., image editing software) or page (e.g., a specific URL) in response to this command.

[0261] 6. Operation screen preparation and standby:

[0262] The launched tool or page will advance to the front screen where it can be operated and will be in standby mode, for example, image editing software with a template open and a displayed design template page being arranged.

[0263] 7. User begins work:

[0264] Using the tools and pages that are in standby as instructed by the server, the user begins the actual data creation work.

[0265] Specific examples

[0266] Example 1: Database data creation case

[0267] 1. User:

[0268] When the user types "I want to create database data," the emotion engine recognizes stress from the tone of the user's voice.

[0269] 2. Terminal:

[0270] The keyword and stress state are sent to the server.

[0271] 3. Server:

[0272] Analyze keywords and stress levels to identify "SQL database managers" and "data formatting tools," but prioritize listing tools that are easy to use and intuitive.

[0273] 4. Terminal:

[0274] Execute the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[0275] 5. Operation screen:

[0276] Each tool goes into standby mode and is ready for the user to begin work.

[0277] This system provides appropriate tools and pages that take the user's emotional state into consideration, improving work efficiency and further reducing the user's burden.

[0278] The processing flow will be explained below.

[0279] Step 1:

[0280] The user uses the device's input interface to input a specific keyword, such as "I want to create ●● data." At this time, the emotion engine analyzes the user's voice and facial expressions in real time.

[0281] Step 2:

[0282] The device acquires the input keywords and the emotion data recognized by the emotion engine, and sends them to the server using an HTTP POST request, including the keywords and the emotion data.

[0283] Step 3:

[0284] The server analyzes the received keywords using a natural language processing algorithm to identify the task the user is seeking. In parallel, it analyzes the emotion data to assess the user's emotional state (e.g., stress, joy, fatigue).

[0285] Step 4:

[0286] The server identifies relevant tools and pages based on the analysis results. It also takes into account emotional data and lists the tools and pages that are best suited to the user's state. For example, for a user who is tired, it would select tools that are easy to use and intuitive.

[0287] Step 5:

[0288] The server generates an instruction command for automatically starting the specified tool or page and transmits it to the terminal.

[0289] Step 6:

[0290] Based on the instruction command received from the server, the device automatically launches the relevant tool (e.g., image editing software or database management tool) or page, and at the same time, the specified URL is opened in the default browser.

[0291] Step 7:

[0292] The launched tool or page advances to the front screen where it can be operated and goes into standby mode. For example, image editing software goes into standby mode with a template open, and the browser displays the specified design template page.

[0293] Step 8:

[0294] The user starts specific data creation work on the tool or page that is in standby mode. Selection according to the user's emotional state improves work efficiency and reduces burden.

[0295] In this way, the user can efficiently start creating data, and the emotion engine will provide tools and pages that are most appropriate for the user's situation.

[0296] Example 2

[0297] 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."

[0298] Conventional systems have the problem that they do not take into account the user's emotional state when they input specific keywords to identify and launch related tools or pages. As a result, depending on the user's state, inappropriate tools or pages may be selected, making operation complicated and increasing the burden on the user. This leads to issues such as reduced work efficiency and a poor user experience.

[0299] 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.

[0300] In this invention, the server includes means for recognizing the user's emotional state and including the result in the analysis, means for analyzing the specific keywords, and means for identifying related tools and pages based on the analysis result, thereby selecting the most appropriate tools and pages in consideration of the user's emotional state, reducing the burden on the user and improving work efficiency.

[0301] A "user" is an entity that uses the system and inputs a specific keyword.

[0302] A "keyword" is a specific word or phrase that a user enters into an input interface.

[0303] A "tool" is a software application or program used to perform a desired task by a user.

[0304] A "page" is a web page or interface displayed in a browser.

[0305] "Launch" refers to launching a specific tool or page and making it operational.

[0306] "Analysis" refers to the process of analyzing input data (keywords and emotional states) and understanding its content.

[0307] "Emotional state" refers to the emotion the user expresses when making an input (e.g., tired, stressed, happy, etc.).

[0308] A "natural language processing algorithm" is an algorithm that enables a computer to understand, analyze, and generate human language.

[0309] "Standby state" refers to the state in which a tool or page is waiting for a user action.

[0310] "Server" refers to the central processing unit of the system that analyzes data received from the user and selects the appropriate tools and pages.

[0311] The present invention is a system that automatically identifies and launches related tools and pages when a user inputs specific keywords, and also has an emotion engine that recognizes the user's emotional state. Specific embodiments of the system are described below.

[0312] System Configuration

[0313] 1. User Interface:

[0314] The user inputs specific keywords and uses devices and software to recognize emotions. Specifically, a keyboard, mouse, webcam, and microphone are used. The user's input, voice, and facial expressions are captured through these hardware devices.

[0315] 2. Server:

[0316] It analyzes keywords entered by users and identifies the necessary tools and pages. It also includes emotion recognition results obtained from the emotion engine in the analysis. The server uses natural language processing algorithms (e.g., GPT-3 (registered trademark) or BERT) to analyze keywords and select related tools and pages.

[0317] 3. Terminal:

[0318] A device that automatically launches tools or pages based on instructions from a server. Specifically, it is a personal computer (PC) or tablet. The device executes commands received from the server and automatically opens the specified tool (e.g., image editing software) or page (e.g., a specific URL).

[0319] 4. Emotion Engine:

[0320] The emotion engine recognizes emotions from the user's voice and facial expressions and provides the results to the server. The emotion engine uses devices such as voice recognition software and a facial recognition camera. It analyzes the data obtained from these devices to determine the user's emotional state (e.g., tired, stressed, etc.).

[0321] Specific examples

[0322] The following is a specific example of the system of the present invention.

[0323] Example 1: Database data creation case

[0324] 1. User:

[0325] When the user types "I want to create database data," the emotion engine recognizes stress from the tone of the user's voice.

[0326] 2. Terminal:

[0327] The keyword and stress state are sent to the server.

[0328] 3. Server:

[0329] Analyze keywords and stress levels to identify "SQL database managers" and "data formatting tools," but prioritize listing tools that are easy to use and intuitive.

[0330] 4. Terminal:

[0331] Execute the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[0332] 5. Operation screen:

[0333] Each tool goes into standby mode and is ready for the user to begin work.

[0334] This system provides appropriate tools and pages that take the user's emotional state into consideration, thereby improving work efficiency and further reducing the user's burden.

[0335] Example prompts for generative AI models

[0336] If a user types in "I want to create database data" and the emotion engine recognizes stress, analyze what tools and pages would be best suited.

[0337] If the user's emotions are judged to be fatigued when they enter "I want to create graphic data," please list tools and pages that are easy to use.

[0338] This allows the generative AI model to perform appropriate analysis and selection.

[0339] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0340] Step 1:

[0341] The user inputs a specific keyword (e.g., "I want to create graphic data") into the device's input interface. This generates the user's keyword input data. The emotion engine also recognizes the user's voice and facial expressions in real time to determine their emotional state. This is output as emotion recognition data.

[0342] Step 2:

[0343] The device acquires keyword data entered by the user and emotion recognition data recognized by the emotion engine. This data is packaged and sent to the server as an HTTP POST request. Specifically, the user input data and emotion recognition data are converted into JSON format and sent.

[0344] Step 3:

[0345] The server analyzes the received HTTP POST request, extracts keyword data and emotion recognition data, and uses a natural language processing algorithm (e.g., GPT-3 or BERT) to identify the intent of the keywords. The emotion recognition data is used to determine the user's emotional state.

[0346] Step 4:

[0347] The server lists relevant tools and pages based on the analysis results. The analysis results are processed to generate suitable tool and page candidates. For example, if the user's emotional state is determined to be "tired" for the keyword "I want to create graphic data," tools that are easy to use (e.g., Canva) will be prioritized in the list.

[0348] Step 5:

[0349] The server generates an instruction command to launch the specified tool or page and sends it to the terminal. To generate the command, specific launch information including the URL and executable file of the tool or page is output.

[0350] Step 6:

[0351] The device receives instructions from the server and automatically launches a specified tool (e.g., image editing software) or page (e.g., a specific URL). Specifically, it opens a web browser and loads the specified URL, or executes software.

[0352] Step 7:

[0353] When the device launches a tool or page, it advances to the previous screen where it can be operated and goes into standby mode. For example, an image editing software template selection screen will be displayed, or a web page specific settings screen will be displayed.

[0354] Step 8:

[0355] The user starts specific data creation work using the tools and pages in the standby state, for example, selecting a template and editing the design, or inputting specific data in a database management tool.

[0356] This allows users to use the most appropriate tools and pages that take their emotional state into consideration, improving work efficiency.

[0357] (Application example 2)

[0358] 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."

[0359] In a factory work environment, selecting and launching the tools and pages that workers use requires a series of manual operations, which reduces efficiency and increases the burden on workers. Furthermore, selection without regard for the worker's emotions or stress level contributes to work errors and reduced efficiency. There is a need to solve these problems, reduce the burden on workers, and improve production efficiency.

[0360] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0361] In this invention, the server includes means for identifying related tools and pages when a user inputs a specific keyword, automatically launching these tools and pages, and proceeding to the previous operable screen, means for analyzing the specific keyword, means for analyzing the emotional state of the user using an emotion engine that recognizes the user's emotions, means for identifying related tools and pages based on the emotional state and keyword analysis results, and means for automatically launching the identified tools and pages. This makes it possible to select and launch appropriate tools and pages taking the user's emotional state into consideration, reducing the burden on workers and improving production efficiency.

[0362] "User input of specific keywords" refers to the act of a user providing a text or voice keyword to the system in accordance with their own intentions and purposes.

[0363] "Tools and Pages" refers to software applications and web pages that users use to perform desired tasks.

[0364] "Means to automatically launch and advance to the next screen where operation is possible" refers to a function that allows the system to use user input as a trigger to launch related tools or pages, and set up the system so that the user is ready to start operating or inputting immediately.

[0365] "Means for analyzing specific keywords" refers to a program or algorithm that understands the input keywords and identifies their content and intent.

[0366] "Means for analyzing emotional state using an emotion engine that recognizes user emotions" refers to a software component that identifies emotions from user behavior such as voice and facial expressions and evaluates the state.

[0367] "Means for identifying relevant tools and pages based on emotional state and keyword analysis results" refers to algorithms or software that comprehensively evaluate the user's emotional state and keyword analysis results and select the most appropriate tools and pages.

[0368] "Means for automatically launching the identified tool or page" refers to a mechanism by which the system automatically launches the selected tool or page without user intervention.

[0369] "Natural language processing algorithm" refers to an algorithm that uses technology to analyze keywords in input text or voice and understand their meaning and intent.

[0370] This system identifies related tools and pages when a user inputs specific keywords and automatically launches them. It also uses an emotion engine to analyze the user's emotional state and provide the most appropriate tools and pages based on that analysis. This technology is particularly applicable to work robots, such as robotic arms in factories.

[0371] The system is configured using the following hardware and software.

[0372] 1. User Interface:

[0373] It includes input devices such as a keyboard, microphone, and camera, through which users can input keywords via text or voice and capture facial expressions through camera images.

[0374] 2. Terminal:

[0375] This includes the control systems of factory robots and PCs. These devices receive input from users and process the data in conjunction with emotion engines.

[0376] 3. Server:

[0377] The server system processes and analyzes the data. Specifically, it comprehensively evaluates the data from keyword analysis and the emotion engine to select the most appropriate tools and pages. The server is equipped with natural language processing algorithms and an emotion analysis engine.

[0378] 4. Emotion Engine:

[0379] A software component that recognizes emotions from a user's voice and facial expressions. For example, an AI engine that combines voice recognition and image recognition technology falls into this category.

[0380] (Example)

[0381] For example, if a user working in a factory inputs "parts installation work" and the system recognizes the user's emotional state of concentration from the tone of their voice and facial expression, it will automatically launch tools or pages that require high accuracy and advance to the nearest operable screen. Conversely, if the user inputs the same keyword while tired, it will select tools or pages that support the work in simple mode.

[0382] (Example of a prompt)

[0383] "Select the optimal robot working mode based on the user's keyword and emotion. The keyword is 'tighten screws' and the emotion is 'concentrate'."

[0384] By implementing this invention, it becomes possible to select and launch appropriate tools and pages taking into account the emotional state of the user, which is expected to reduce the burden on workers and improve production efficiency.

[0385] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0386] (Program processing steps)

[0387] Step 1:

[0388] User-input keywords and emotion recognition

[0389] The user inputs a specific keyword through the device. The device is also equipped with a microphone and camera, which are used to acquire data in real time to recognize emotions from voice and facial expressions. The inputs are text keywords and audio / visual data, and the output is sent to the next processing step.

[0390] Step 2:

[0391] Capturing and sending input and emotions

[0392] The device analyzes the keywords entered by the user as text data, and the audio and video using an emotion recognition engine (software) to identify the user's emotional state. Emotional state data is generated as a result of the analysis. This data is sent to the server as an HTTP POST request. The input is text keywords and emotional data, and the analyzed text and emotional data are sent to the server as output.

[0393] Step 3:

[0394] Server-based keyword and sentiment analysis

[0395] The server receives the received text keywords and emotion data. Here, the server uses natural language processing algorithms to analyze the intent of the keywords. At the same time, it evaluates the emotional state data provided by the emotion engine and integrates the two to identify the most suitable tools and pages. The inputs are keywords and emotion data, and the analysis results are generated as the output.

[0396] Step 4:

[0397] Selection of tools and pages

[0398] The server lists the most appropriate tools and pages based on the analysis results. For example, if a user inputs "tighten a screw" and the emotional state is analyzed as "concentration," the server will prioritize the operation screen of a precision screw tightening tool. The input is the analysis result, and the output is a list of identified tools and pages.

[0399] Step 5:

[0400] Generate and send a launch instruction

[0401] The server generates an instruction command to launch the specified tool or page and sends it to the terminal. The instruction command contains specific operation content, and the terminal launches the tool or page accordingly. The input is a list of specified tools and pages, and the instruction command is generated as output and sent to the terminal.

[0402] Step 6:

[0403] Launching a tool or page

[0404] The terminal receives commands from the server and automatically launches the relevant tools or pages. For example, a specific image editing software or web page may be launched in a pre-specified state. The command is the input, and the launched tool or page is displayed as the output.

[0405] Step 7:

[0406] Operation screen preparation and standby

[0407] The launched tool or page undergoes final preparation and enters a standby state so that the user can immediately begin using it. For example, an image editing software with a specific template open or a web page displaying specific information is displayed. The launched tool or page is the input, and a standby, operable screen is prepared as the output.

[0408] Through the above steps, it becomes possible to efficiently and automatically select and launch appropriate tools and pages that take into account the user's emotional state.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] [Second embodiment]

[0413] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0414] 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.

[0415] 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).

[0416] 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.

[0417] 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.

[0418] 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).

[0419] 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. 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.

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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."

[0425] This invention is a system that automatically identifies and launches related tools and pages when a user inputs a specific keyword, and advances to the previous screen where the tool or page can be operated. This system consists of the following main components:

[0426] System Configuration

[0427] 1. User Interface: A device or software that allows a user to enter specific keywords.

[0428] 2. Server: Responsible for analyzing the entered keywords and identifying the necessary tools and pages.

[0429] 3. Terminal: A device that automatically launches a tool or page based on instructions from the server.

[0430] Program processing

[0431] The following explains the program processing of this system in natural language.

[0432] 1. User inputs keywords:

[0433] The user inputs a specific keyword (e.g., "I want to create graphic data") into the input interface of the terminal.

[0434] 2. Getting and sending input:

[0435] The terminal acquires the keyword entered by the user and transmits it to the server.

[0436] Example: The device sends a keyword to the server as an HTTP POST request.

[0437] 3. Server analysis:

[0438] The server analyzes the received keywords.

[0439] This analysis uses natural language processing algorithms.

[0440] The server identifies the necessary tools and pages based on the analysis results and generates a list.

[0441] 4. Identify the tool or page:

[0442] Based on the tool or page identified by the server, an instruction command for launching it is created.

[0443] For example: If "Adobe Photoshop" and "Design Template Page" are identified as needed, commands to launch these tools are generated.

[0444] 5. Launching via terminal:

[0445] Based on the instruction command received by the device from the server, the device automatically launches the relevant tool (e.g., Photoshop) or page (e.g., a specific URL).

[0446] 6. Preparing the operation screen:

[0447] The launched tool or page advances to the previous screen where it can be operated and waits for a user operation.

[0448] Example: Photoshop will be in standby with the template open and the browser will display the design template page.

[0449] Specific examples

[0450] Example 1: Database data creation case

[0451] 1. User:

[0452] Enter "I want to create database data."

[0453] 2. Terminal:

[0454] Send the keyword to the server.

[0455] 3. Server:

[0456] Analyze the keywords and determine that an "SQL database manager" and a "data formatting tool" are needed.

[0457] Generates a command to launch the tool.

[0458] 4. Terminal:

[0459] Run the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[0460] 5. Operation screen:

[0461] Each tool goes into standby mode and is ready for the user to begin work.

[0462] 6. Users:

[0463] Using these tools, we begin the process of creating data for the database.

[0464] This system allows users to quickly begin creating the necessary data without much effort, which is particularly beneficial in improving efficiency and reducing the burden on users.

[0465] The processing flow will be explained below.

[0466] Step 1:

[0467] The user uses the input interface of the terminal to input a specific keyword such as "I want to create ●● data."

[0468] Step 2:

[0469] The device acquires the input keyword and sends it to the server as an HTTP POST request, along with the user's identification information and session information.

[0470] Step 3:

[0471] The server analyzes the received keywords and uses natural language processing algorithms to determine what the intended task is.

[0472] Step 4:

[0473] The server then lists related tools and pages based on the analysis results. For example, if the user wants to create graphic data, it will select image editing software and design template pages.

[0474] Step 5:

[0475] The server generates a command to automatically launch the specified tool or page and sends it to the terminal.

[0476] Step 6:

[0477] Based on the command received from the server, the device launches the specified tool or page, for example, launching "image editing software" and accessing "design template page" in the default browser.

[0478] Step 7:

[0479] The launched tool or page advances to the front screen where it can be operated and goes into standby mode. For example, image editing software with a template open and a displayed design template page.

[0480] Step 8:

[0481] The user starts specific data creation work in the tool or page that is in standby mode.

[0482] Through the above processing steps, the user can easily access related tools and pages and quickly begin data creation work.

[0483] Example 1

[0484] 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."

[0485] Conventional systems required users to manually search for and launch specific tools or pages, which reduced operational efficiency. Furthermore, there was no system that could automatically identify and launch tools or pages based on specific keywords. This made it difficult for users to start working quickly.

[0486] 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.

[0487] In this invention, the server includes means for acquiring specific keywords and transmitting them to the server, means for analyzing the received keywords using a natural language processing algorithm, and means for identifying and listing related tools and pages based on the analysis results. This allows a user to automatically launch related tools and pages by simply inputting a specific keyword, enabling them to quickly become operable.

[0488] "Users"

[0489] refers to an end user who operates the system and enters a specific keyword.

[0490] "Interface"

[0491] It refers to the input device and software interaction method that allows users to input keywords.

[0492] Specific keywords

[0493] refers to a string of characters that a user can enter to automatically identify and launch related tools or pages.

[0494] "server"

[0495] refers to the central processing unit responsible for receiving and analyzing input keywords.

[0496] "Natural Language Processing Algorithms"

[0497] refers to a set of computational techniques that the server uses to interpret and analyze the meaning of keywords received from users.

[0498] Related tools and pages

[0499] refers to software applications and web pages identified based on keyword analysis results.

[0500] "command"

[0501] refers to the execution instructions sent from the server to the device to launch the specified tool or page.

[0502] "tool"

[0503] refers to a software application that is used to perform a specific task or operation.

[0504] "page"

[0505] refers to a particular web page displayed in a web browser.

[0506] "Standby state"

[0507] This refers to a state in which the launched tool or page is ready to accept user operations.

[0508] This invention is a system that automatically identifies and launches related tools and pages when the user inputs a specific keyword, and advances to the next screen where the user can operate the tool. This system is composed of the main components of the user interface, server, and terminal. The role and specific operation of each component are described below.

[0509] System Configuration

[0510] User Interface

[0511] The user interface includes devices and software that allow users to input keywords. Specifically, it corresponds to an input form on a web browser or an input field in a desktop application. Users input keywords through these interfaces.

[0512] server

[0513] The server analyzes the received keywords and identifies the necessary tools and pages. The server is equipped with a natural language processing algorithm, and uses, for example, Python scripts or existing natural language processing libraries (e.g., spaCy, NLTK). Based on the analysis results, the server lists the necessary tools and pages and generates commands to launch them.

[0514] Terminal

[0515] The terminal is a device that automatically launches tools and pages based on instructions from the server, specifically by using batch scripts or shell scripts to execute tools and web pages.

[0516] Program processing

[0517] 1. Keyword input by the user: The user inputs a specific keyword into the input field of a web browser or desktop application. For example, the user inputs a keyword that expresses a specific need, such as "I want to create graphic data."

[0518] 2. Obtaining and sending input: The terminal obtains the keywords entered by the user and sends them to the server as an HTTP POST request.

[0519] 3. Analysis by the server: The server receives the keywords sent from the device and analyzes them using a natural language processing algorithm. From the analysis results, it identifies the necessary tools and pages and creates a list of them.

[0520] 4. Identifying tools and pages: The server generates commands to launch the listed tools and pages. For example, in the case of "graphic data creation," "graphic design software" and "design template pages" are identified and commands to launch them are generated.

[0521] 5. Launch by the terminal: The terminal automatically launches related tools or pages based on the instruction commands received from the server, for example, launching specific software and displaying a specified web page in a browser.

[0522] 6. Preparing the operation screen: The launched tool or page is prepared until it is operational and ready for user operation. For example, graphic design software will be on standby with a template open, and the browser will display the design template page.

[0523] Specific examples

[0524] Example 1: Database data creation case

[0525] 1. User: The user enters, "I want to create database data."

[0526] 2. Device: The device obtains the keyword and sends it to the server as an HTTP POST request.

[0527] 3. Server: The server analyzes the keywords and determines that a "database management tool" and a "data formatting tool" are required. It then generates commands to launch these tools.

[0528] 4. Terminal: The terminal executes the command received from the server and automatically launches the "Database Management Tool" and "Data Formatting Tool."

[0529] 5. Operation screen: Each tool is in standby mode and ready for the user to start operating immediately.

[0530] This system allows users to quickly start creating the necessary data without much effort, making it an excellent system that significantly contributes to improving efficiency and reducing the burden on users.

[0531] Prompt Sentence Examples

[0532] An example of a prompt to be input to the generative AI model is as follows:

[0533] When a user types "I want to create database data," please explain in natural language the process that will be followed. Please provide a detailed description of each processing step on the terminal and on the server.

[0534] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0535] Step 1:

[0536] The user uses the input interface of the terminal to input a specific keyword. For example, the user may input "I want to create graphic data." This becomes input data. This input is obtained from a text box or the like in the user interface.

[0537] Specific behavior:

[0538] The user uses the keyboard to input "I want to create graphic data" into the text box.

[0539] Step 2:

[0540] The terminal takes the keyword entered by the user and formats it as an HTTP POST request to send to the server. The formatted data is the output. This request includes the entered keyword.

[0541] Specific behavior:

[0542] The terminal acquires text data such as "I want to create graphic data" from the input interface.

[0543] The terminal converts the acquired data into JSON format and sends an HTTP POST request to the server.

[0544] Step 3:

[0545] The server receives the HTTP POST request sent from the device and extracts and analyzes the keywords contained therein. This becomes the input data. The server then uses a natural language processing algorithm to analyze the keywords and create a list of the necessary tools and pages. This list becomes the output.

[0546] Specific behavior:

[0547] The server receives the HTTP request and extracts the keyword "I want to create graphic data."

[0548] Using a natural language processing algorithm (e.g., spaCy or NLTK), the keywords are analyzed and it is determined that "graphic design software" and "design template pages" are needed.

[0549] The server compiles a list of these tools and pages.

[0550] Step 4:

[0551] The server generates a command to launch the identified tool or page, and the command is the output. This generated command is sent to the device.

[0552] Specific behavior:

[0553] The server generates a command to launch the "graphic design software" (e.g., graphic_design_software.exe).

[0554] The server generates a browser command (e.g., containing a specific URL) that opens a "design template page."

[0555] Send the generated command to the terminal.

[0556] Step 5:

[0557] The device executes the command received from the server and launches the specified tool or page. The command from the server becomes the input data, and the launched tool or page becomes the output.

[0558] Specific behavior:

[0559] The terminal executes the command received from the server as an executable file.

[0560] The device will automatically open a browser and display the specified URL.

[0561] Step 6:

[0562] The launched tool or page will proceed to the nearest operable screen and wait for the user to operate. This state is the output.

[0563] Specific behavior:

[0564] Your graphic design software will be ready with the template open.

[0565] The browser will display the design template page, ready for the user to interact with.

[0566] The above is the specific processing flow of this system.

[0567] (Application example 1)

[0568] 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."

[0569] Currently, when users search for products in a virtual store, they have to manually search through a huge number of pages and product lists, which is time-consuming and labor-intensive. Furthermore, users are unable to quickly obtain specific product information, which discourages them from purchasing. To solve this problem, a system is needed that automatically identifies and launches relevant product information pages when users input specific keywords, and quickly advances to the next screen where they can operate the system.

[0570] 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.

[0571] In this invention, the server includes means for identifying information pages of related products by inputting a specific keyword, automatically launching these product information pages, and proceeding to the previous operable screen, means for analyzing the specific keyword, means for identifying related product information pages based on the analysis results, and means for automatically launching the identified product information page, thereby enabling users to access desired product information in a short time and make purchases quickly and efficiently.

[0572] A "keyword" is a word or phrase that a user enters in order to search for specific information or products.

[0573] A "product information page" is a web page or application screen that displays detailed information about a particular product.

[0574] "Launch" is an operation that puts designated software or a web page into an execution state.

[0575] The "operable screen in front" is the screen that is ready just before the user starts the desired action.

[0576] "Analysis" refers to the process of identifying related information based on the input keywords.

[0577] A "natural language processing algorithm" is an algorithm used by a computer to analyze and generate natural language.

[0578] A "server" is a computer system that provides services to other computers on a network.

[0579] A "system" is a collection of multiple elements or devices that work in conjunction with each other.

[0580] The embodiments of the present invention will be described in detail below.

[0581] This invention is a system that allows users to input specific keywords in a virtual store, identify and launch related product information pages, and proceed to the next screen where they can operate. This system aims to significantly reduce the user's time and effort and provide an efficient purchasing experience by analyzing specific keywords and automatically launching product information pages based on the analysis results.

[0582] System Configuration

[0583] The system consists of the following main components:

[0584] 1. User Interface

[0585] A smartphone application that allows users to enter specific keywords.

[0586] Example: "SmartShop Navigator," an app specifically for virtual stores.

[0587] 2. Server

[0588] Its role is to analyze the entered keywords and identify the required product information page.

[0589] Software used: Natural language processing algorithms (e.g. NLTK, spaCy).

[0590] 3. Terminal

[0591] A device that automatically launches a product information page based on instructions from the server.

[0592] Program processing

[0593] 1. User input of keywords

[0594] Users log in to the smartphone app "SmartShop Navigator" and enter specific keywords in the search bar.

[0595] For example: "I'm looking for the latest smartphone."

[0596] 2. Getting and Sending Input

[0597] The app takes the keyword entered by the user and sends it to the server as an HTTP POST request.

[0598] 3. Server Analysis

[0599] The server analyzes the received keywords and identifies related product information pages based on the analysis results.

[0600] This analysis uses natural language processing algorithms, such as NLTK or spaCy, to understand the meaning of keywords and extract related products from a database.

[0601] 4. Identifying product information pages

[0602] The server generates a URL for the identified product information page and returns it to the terminal as an instruction command.

[0603] Example: If the identified URL is "http: / / example.com / products / smartphones", send that URL to the device.

[0604] 5. Launching via terminal

[0605] The terminal automatically launches a related product information page in the browser based on the instruction command received from the server.

[0606] 6. Preparing the operation screen

[0607] The product information page is displayed in the browser, and the screen on which the user can operate is prepared.

[0608] Specific examples

[0609] If a user types "I'm looking for the latest smartphone":

[0610] The app sends the keyword to the server.

[0611] The server analyzes the keywords and identifies the URL of the "List of Newly Released Smartphones" page.

[0612] The app will automatically open this URL and display a list of new smartphone products in your browser.

[0613] Example prompt sentence:

[0614] "I'm looking for the latest smartphone."

[0615] This system allows users to efficiently access desired product information, improving the shopping experience within the virtual store. The entire system simplifies user operations and speeds up the process of purchasing.

[0616] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0617] Step 1:

[0618] A user logs in to the smartphone app "SmartShop Navigator" and enters a specific keyword. The entered keyword is saved in the app in text format. For example, a user might enter "I'm looking for the latest smartphone." This text data is used in the next step.

[0619] Step 2:

[0620] The device (smartphone app) obtains the keyword entered by the user and sends it to the server as an HTTP POST request. Input: Keyword text data "Looking for the latest smartphone." Output: HTTP POST request to the server.

[0621] Step 3:

[0622] The server extracts keywords from the received HTTP POST request and analyzes them using a natural language processing algorithm (for example, NLTK or spaCy). The purpose of the analysis is to understand the meaning of the keywords and identify product information pages related to the keywords. Input: Keyword "Looking for the latest smartphone." Data processing: Analysis using a natural language processing algorithm. Output: URL of the page "List of newly released smartphones."

[0623] Step 4:

[0624] Based on the analysis results, the server generates the URL of the relevant product information page and returns it to the terminal (smartphone app) as an instruction command. Input: URL of the product information page identified as the analysis result. Output: Instruction command for the URL "http: / / example.com / products / smartphones".

[0625] Step 5:

[0626] The terminal analyzes the instruction command received from the server and automatically launches the relevant product information page in the browser. Input: URL instruction command from the server. Action: Opens the browser and accesses the specified URL "http: / / example.com / products / smartphones". Output: Product information page displayed in the browser.

[0627] Step 6:

[0628] The product information page is displayed in the browser, and the front screen is prepared for the user to operate. The user can check the displayed product information page and begin purchasing. Input: Product information page displayed in the browser. Operation: The user can view and operate the page. Output: The user can quickly access the product information they want.

[0629] This process flow allows the user to efficiently access the desired product information, improving the shopping experience in the virtual store.

[0630] 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.

[0631] This invention is a system that, when a user inputs a specific keyword, automatically identifies and launches related tools and pages, and not only advances to the next screen where the user can operate it, but also includes an emotion engine that recognizes the user's emotions, making it possible to select more appropriate tools and pages that take the user's emotional state into consideration.

[0632] System Configuration

[0633] 1. User Interface: A device or software that allows users to input specific keywords and recognize emotions.

[0634] 2. Server: In addition to analyzing the input keywords and identifying the necessary tools and pages, it also takes into account the emotion recognition results.

[0635] 3. Terminal: A device that automatically launches a tool or page based on instructions from the server.

[0636] 4. Emotion engine: Recognizes emotions from the user's voice and facial expressions and provides the results to the server.

[0637] Program processing

[0638] The following explains the program processing of this system in natural language.

[0639] 1. User inputs keywords:

[0640] When a user inputs a specific keyword (e.g., "I want to create graphic data") into the device's input interface, the emotion engine recognizes the user's voice and facial expressions and determines their emotional state.

[0641] 2. Getting and sending input and emotions:

[0642] The device acquires the keywords entered by the user and the emotional state recognized by the emotion engine, and sends them to the server as an HTTP POST request containing the keywords and the emotion recognition results.

[0643] 3. Server analysis:

[0644] The server analyzes the received keywords and emotion recognition results, using natural language processing algorithms to identify the intended task of the keyword and then selects the most appropriate tool or page, taking into account the user's emotional state.

[0645] 4. Identify the tool or page:

[0646] The server then lists relevant tools and pages based on the analysis results. For example, if the user enters "I want to create graphic data" and determines that they are feeling tired, it will prioritize tools and pages that are easy to use.

[0647] 5. Launching tools and pages from the device:

[0648] The server generates and sends to the device an instruction command to automatically launch the specified tool or page. The device then automatically launches the associated tool (e.g., image editing software) or page (e.g., a specific URL) in response to this command.

[0649] 6. Operation screen preparation and standby:

[0650] The launched tool or page will advance to the front screen where it can be operated and will be in standby mode, for example, image editing software with a template open and a displayed design template page being arranged.

[0651] 7. User begins work:

[0652] Using the tools and pages that are in standby as instructed by the server, the user begins the actual data creation work.

[0653] Specific examples

[0654] Example 1: Database data creation case

[0655] 1. User:

[0656] When the user types "I want to create database data," the emotion engine recognizes stress from the tone of the user's voice.

[0657] 2. Terminal:

[0658] The keyword and stress state are sent to the server.

[0659] 3. Server:

[0660] Analyze keywords and stress levels to identify "SQL database managers" and "data formatting tools," but prioritize listing tools that are easy to use and intuitive.

[0661] 4. Terminal:

[0662] Execute the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[0663] 5. Operation screen:

[0664] Each tool goes into standby mode and is ready for the user to begin work.

[0665] This system provides appropriate tools and pages that take the user's emotional state into consideration, improving work efficiency and further reducing the user's burden.

[0666] The processing flow will be explained below.

[0667] Step 1:

[0668] The user uses the device's input interface to input a specific keyword, such as "I want to create ●● data." At this time, the emotion engine analyzes the user's voice and facial expressions in real time.

[0669] Step 2:

[0670] The device acquires the input keywords and the emotion data recognized by the emotion engine, and sends them to the server using an HTTP POST request, including the keywords and the emotion data.

[0671] Step 3:

[0672] The server analyzes the received keywords using a natural language processing algorithm to identify the task the user is seeking. In parallel, it analyzes the emotion data to assess the user's emotional state (e.g., stress, joy, fatigue).

[0673] Step 4:

[0674] The server identifies relevant tools and pages based on the analysis results. It also takes into account emotional data and lists the tools and pages that are best suited to the user's state. For example, for a user who is tired, it would select tools that are easy to use and intuitive.

[0675] Step 5:

[0676] The server generates an instruction command for automatically starting the specified tool or page and transmits it to the terminal.

[0677] Step 6:

[0678] Based on the instruction command received from the server, the device automatically launches the relevant tool (e.g., image editing software or database management tool) or page, and at the same time, the specified URL is opened in the default browser.

[0679] Step 7:

[0680] The launched tool or page advances to the front screen where it can be operated and goes into standby mode. For example, image editing software goes into standby mode with a template open, and the browser displays the specified design template page.

[0681] Step 8:

[0682] The user starts specific data creation work on the tool or page that is in standby mode. Selection according to the user's emotional state improves work efficiency and reduces burden.

[0683] In this way, the user can efficiently start creating data, and the emotion engine will provide tools and pages that are most appropriate for the user's situation.

[0684] Example 2

[0685] 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."

[0686] Conventional systems have the problem that they do not take into account the user's emotional state when they input specific keywords to identify and launch related tools or pages. As a result, depending on the user's state, inappropriate tools or pages may be selected, making operation complicated and increasing the burden on the user. This leads to issues such as reduced work efficiency and a poor user experience.

[0687] 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.

[0688] In this invention, the server includes means for recognizing the user's emotional state and including the result in the analysis, means for analyzing the specific keywords, and means for identifying related tools and pages based on the analysis result, thereby selecting the most appropriate tools and pages in consideration of the user's emotional state, reducing the burden on the user and improving work efficiency.

[0689] A "user" is an entity that uses the system and inputs a specific keyword.

[0690] A "keyword" is a specific word or phrase that a user enters into an input interface.

[0691] A "tool" is a software application or program used to perform a desired task by a user.

[0692] A "page" is a web page or interface displayed in a browser.

[0693] "Launch" refers to launching a specific tool or page and making it operational.

[0694] "Analysis" refers to the process of analyzing input data (keywords and emotional states) and understanding its content.

[0695] "Emotional state" refers to the emotion the user expresses when making an input (e.g., tired, stressed, happy, etc.).

[0696] A "natural language processing algorithm" is an algorithm that enables a computer to understand, analyze, and generate human language.

[0697] "Standby state" refers to the state in which a tool or page is waiting for a user action.

[0698] "Server" refers to the central processing unit of the system that analyzes data received from the user and selects the appropriate tools and pages.

[0699] The present invention is a system that automatically identifies and launches related tools and pages when a user inputs specific keywords, and also has an emotion engine that recognizes the user's emotional state. Specific embodiments of the system are described below.

[0700] System Configuration

[0701] 1. User Interface:

[0702] The user inputs specific keywords and uses devices and software to recognize emotions. Specifically, a keyboard, mouse, webcam, and microphone are used. The user's input, voice, and facial expressions are captured through these hardware devices.

[0703] 2. Server:

[0704] It analyzes the keywords entered by the user and identifies the necessary tools and pages. It also includes the emotion recognition results obtained from the emotion engine in the analysis. The server analyzes the keywords using natural language processing algorithms (e.g., GPT-3 and BERT) and selects related tools and pages.

[0705] 3. Terminal:

[0706] A device that automatically launches tools or pages based on instructions from a server. Specifically, it is a personal computer (PC) or tablet. The device executes commands received from the server and automatically opens the specified tool (e.g., image editing software) or page (e.g., a specific URL).

[0707] 4. Emotion Engine:

[0708] The emotion engine recognizes emotions from the user's voice and facial expressions and provides the results to the server. The emotion engine uses devices such as voice recognition software and a facial recognition camera. It analyzes the data obtained from these devices to determine the user's emotional state (e.g., tired, stressed, etc.).

[0709] Specific examples

[0710] The following is a specific example of the system of the present invention.

[0711] Example 1: Database data creation case

[0712] 1. User:

[0713] When the user types "I want to create database data," the emotion engine recognizes stress from the tone of the user's voice.

[0714] 2. Terminal:

[0715] The keyword and stress state are sent to the server.

[0716] 3. Server:

[0717] Analyze keywords and stress levels to identify "SQL database managers" and "data formatting tools," but prioritize listing tools that are easy to use and intuitive.

[0718] 4. Terminal:

[0719] Execute the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[0720] 5. Operation screen:

[0721] Each tool goes into standby mode and is ready for the user to begin work.

[0722] This system provides appropriate tools and pages that take the user's emotional state into consideration, thereby improving work efficiency and further reducing the user's burden.

[0723] Example prompts for generative AI models

[0724] If a user types in "I want to create database data" and the emotion engine recognizes stress, analyze what tools and pages would be best suited.

[0725] If the user's emotions are judged to be fatigued when they enter "I want to create graphic data," please list tools and pages that are easy to use.

[0726] This allows the generative AI model to perform appropriate analysis and selection.

[0727] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0728] Step 1:

[0729] The user inputs a specific keyword (e.g., "I want to create graphic data") into the device's input interface. This generates the user's keyword input data. The emotion engine also recognizes the user's voice and facial expressions in real time to determine their emotional state. This is output as emotion recognition data.

[0730] Step 2:

[0731] The device acquires keyword data entered by the user and emotion recognition data recognized by the emotion engine. This data is packaged and sent to the server as an HTTP POST request. Specifically, the user input data and emotion recognition data are converted into JSON format and sent.

[0732] Step 3:

[0733] The server analyzes the received HTTP POST request, extracts keyword data and emotion recognition data, and uses a natural language processing algorithm (e.g., GPT-3 or BERT) to identify the intent of the keywords. The emotion recognition data is used to determine the user's emotional state.

[0734] Step 4:

[0735] The server lists relevant tools and pages based on the analysis results. The analysis results are processed to generate suitable tool and page candidates. For example, if the user's emotional state is determined to be "tired" for the keyword "I want to create graphic data," tools that are easy to use (e.g., Canva) will be prioritized in the list.

[0736] Step 5:

[0737] The server generates an instruction command to launch the specified tool or page and sends it to the terminal. To generate the command, specific launch information including the URL and executable file of the tool or page is output.

[0738] Step 6:

[0739] The device receives instructions from the server and automatically launches a specified tool (e.g., image editing software) or page (e.g., a specific URL). Specifically, it opens a web browser and loads the specified URL, or executes software.

[0740] Step 7:

[0741] When the device launches a tool or page, it advances to the previous screen where it can be operated and goes into standby mode. For example, an image editing software template selection screen will be displayed, or a web page specific settings screen will be displayed.

[0742] Step 8:

[0743] The user starts specific data creation work using the tools and pages in the standby state, for example, selecting a template and editing the design, or inputting specific data in a database management tool.

[0744] This allows users to use the most appropriate tools and pages that take their emotional state into consideration, improving work efficiency.

[0745] (Application example 2)

[0746] 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."

[0747] In a factory work environment, selecting and launching the tools and pages that workers use requires a series of manual operations, which reduces efficiency and increases the burden on workers. Furthermore, selection without regard for the worker's emotions or stress level contributes to work errors and reduced efficiency. There is a need to solve these problems, reduce the burden on workers, and improve production efficiency.

[0748] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0749] In this invention, the server includes means for identifying related tools and pages when a user inputs a specific keyword, automatically launching these tools and pages, and proceeding to the previous operable screen, means for analyzing the specific keyword, means for analyzing the emotional state of the user using an emotion engine that recognizes the user's emotions, means for identifying related tools and pages based on the emotional state and keyword analysis results, and means for automatically launching the identified tools and pages. This makes it possible to select and launch appropriate tools and pages taking the user's emotional state into consideration, reducing the burden on workers and improving production efficiency.

[0750] "User input of specific keywords" refers to the act of a user providing a text or voice keyword to the system in accordance with their own intentions and purposes.

[0751] "Tools and Pages" refers to software applications and web pages that users use to perform desired tasks.

[0752] "Means to automatically launch and advance to the next screen where operation is possible" refers to a function that allows the system to use user input as a trigger to launch related tools or pages, and set up the system so that the user is ready to start operating or inputting immediately.

[0753] "Means for analyzing specific keywords" refers to a program or algorithm that understands the input keywords and identifies their content and intent.

[0754] "Means for analyzing emotional state using an emotion engine that recognizes user emotions" refers to a software component that identifies emotions from user behavior such as voice and facial expressions and evaluates the state.

[0755] "Means for identifying relevant tools and pages based on emotional state and keyword analysis results" refers to algorithms or software that comprehensively evaluate the user's emotional state and keyword analysis results and select the most appropriate tools and pages.

[0756] "Means for automatically launching the identified tool or page" refers to a mechanism by which the system automatically launches the selected tool or page without user intervention.

[0757] "Natural language processing algorithm" refers to an algorithm that uses technology to analyze keywords in input text or voice and understand their meaning and intent.

[0758] This system identifies related tools and pages when a user inputs specific keywords and automatically launches them. It also uses an emotion engine to analyze the user's emotional state and provide the most appropriate tools and pages based on that analysis. This technology is particularly applicable to work robots, such as robotic arms in factories.

[0759] The system is configured using the following hardware and software.

[0760] 1. User Interface:

[0761] It includes input devices such as a keyboard, microphone, and camera, through which users can input keywords via text or voice and capture facial expressions through camera images.

[0762] 2. Terminal:

[0763] This includes the control systems of factory robots and PCs. These devices receive input from users and process the data in conjunction with emotion engines.

[0764] 3. Server:

[0765] The server system processes and analyzes the data. Specifically, it comprehensively evaluates the data from keyword analysis and the emotion engine to select the most appropriate tools and pages. The server is equipped with natural language processing algorithms and an emotion analysis engine.

[0766] 4. Emotion Engine:

[0767] A software component that recognizes emotions from a user's voice and facial expressions. For example, an AI engine that combines voice recognition and image recognition technology falls into this category.

[0768] (Example)

[0769] For example, if a user working in a factory inputs "parts installation work" and the system recognizes the user's emotional state of concentration from the tone of their voice and facial expression, it will automatically launch tools or pages that require high accuracy and advance to the nearest operable screen. Conversely, if the user inputs the same keyword while tired, it will select tools or pages that support the work in simple mode.

[0770] (Example of a prompt)

[0771] "Select the optimal robot working mode based on the user's keyword and emotion. The keyword is 'tighten screws' and the emotion is 'concentrate'."

[0772] By implementing this invention, it becomes possible to select and launch appropriate tools and pages taking into account the emotional state of the user, which is expected to reduce the burden on workers and improve production efficiency.

[0773] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0774] (Program processing steps)

[0775] Step 1:

[0776] User-input keywords and emotion recognition

[0777] The user inputs a specific keyword through the device. The device is also equipped with a microphone and camera, which are used to acquire data in real time to recognize emotions from voice and facial expressions. The inputs are text keywords and audio / visual data, and the output is sent to the next processing step.

[0778] Step 2:

[0779] Capturing and sending input and emotions

[0780] The device analyzes the keywords entered by the user as text data, and the audio and video using an emotion recognition engine (software) to identify the user's emotional state. Emotional state data is generated as a result of the analysis. This data is sent to the server as an HTTP POST request. The input is text keywords and emotional data, and the analyzed text and emotional data are sent to the server as output.

[0781] Step 3:

[0782] Server-based keyword and sentiment analysis

[0783] The server receives the received text keywords and emotion data. Here, the server uses natural language processing algorithms to analyze the intent of the keywords. At the same time, it evaluates the emotional state data provided by the emotion engine and integrates the two to identify the most suitable tools and pages. The inputs are keywords and emotion data, and the analysis results are generated as the output.

[0784] Step 4:

[0785] Selection of tools and pages

[0786] The server lists the most appropriate tools and pages based on the analysis results. For example, if a user inputs "tighten a screw" and the emotional state is analyzed as "concentration," the server will prioritize the operation screen of a precision screw tightening tool. The input is the analysis result, and the output is a list of identified tools and pages.

[0787] Step 5:

[0788] Generate and send a launch instruction

[0789] The server generates an instruction command to launch the specified tool or page and sends it to the terminal. The instruction command contains specific operation content, and the terminal launches the tool or page accordingly. The input is a list of specified tools and pages, and the instruction command is generated as output and sent to the terminal.

[0790] Step 6:

[0791] Launching a tool or page

[0792] The terminal receives commands from the server and automatically launches the relevant tools or pages. For example, a specific image editing software or web page may be launched in a pre-specified state. The command is the input, and the launched tool or page is displayed as the output.

[0793] Step 7:

[0794] Operation screen preparation and standby

[0795] The launched tool or page undergoes final preparation and enters a standby state so that the user can immediately begin using it. For example, an image editing software with a specific template open or a web page displaying specific information is displayed. The launched tool or page is the input, and a standby, operable screen is prepared as the output.

[0796] Through the above steps, it becomes possible to efficiently and automatically select and launch appropriate tools and pages that take into account the user's emotional state.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] [Third embodiment]

[0801] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0802] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0803] 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).

[0804] 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.

[0805] 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.

[0806] 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).

[0807] 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. 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.

[0808] 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.

[0809] 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.

[0810] 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.

[0811] 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.

[0812] 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."

[0813] This invention is a system that automatically identifies and launches related tools and pages when a user inputs a specific keyword, and advances to the previous screen where the tool or page can be operated. This system consists of the following main components:

[0814] System Configuration

[0815] 1. User Interface: A device or software that allows a user to enter specific keywords.

[0816] 2. Server: Responsible for analyzing the entered keywords and identifying the necessary tools and pages.

[0817] 3. Terminal: A device that automatically launches a tool or page based on instructions from the server.

[0818] Program processing

[0819] The following explains the program processing of this system in natural language.

[0820] 1. User inputs keywords:

[0821] The user inputs a specific keyword (e.g., "I want to create graphic data") into the input interface of the terminal.

[0822] 2. Getting and sending input:

[0823] The terminal acquires the keyword entered by the user and transmits it to the server.

[0824] Example: The device sends a keyword to the server as an HTTP POST request.

[0825] 3. Server analysis:

[0826] The server analyzes the received keywords.

[0827] This analysis uses natural language processing algorithms.

[0828] The server identifies the necessary tools and pages based on the analysis results and generates a list.

[0829] 4. Identify the tool or page:

[0830] Based on the tool or page identified by the server, an instruction command for launching it is created.

[0831] For example: If "Adobe Photoshop" and "Design Template Page" are identified as needed, commands to launch these tools are generated.

[0832] 5. Launching via terminal:

[0833] Based on the instruction command received by the device from the server, the device automatically launches the relevant tool (e.g., Photoshop) or page (e.g., a specific URL).

[0834] 6. Preparing the operation screen:

[0835] The launched tool or page advances to the previous screen where it can be operated and waits for a user operation.

[0836] Example: Photoshop will be in standby with the template open and the browser will display the design template page.

[0837] Specific examples

[0838] Example 1: Database data creation case

[0839] 1. User:

[0840] Enter "I want to create database data."

[0841] 2. Terminal:

[0842] Send the keyword to the server.

[0843] 3. Server:

[0844] Analyze the keywords and determine that an "SQL database manager" and a "data formatting tool" are needed.

[0845] Generates a command to launch the tool.

[0846] 4. Terminal:

[0847] Run the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[0848] 5. Operation screen:

[0849] Each tool goes into standby mode and is ready for the user to begin work.

[0850] 6. Users:

[0851] Using these tools, we begin the process of creating data for the database.

[0852] This system allows users to quickly begin creating the necessary data without much effort, which is particularly beneficial in improving efficiency and reducing the burden on users.

[0853] The processing flow will be explained below.

[0854] Step 1:

[0855] The user uses the input interface of the terminal to input a specific keyword such as "I want to create ●● data."

[0856] Step 2:

[0857] The device acquires the input keyword and sends it to the server as an HTTP POST request, along with the user's identification information and session information.

[0858] Step 3:

[0859] The server analyzes the received keywords and uses natural language processing algorithms to determine what the intended task is.

[0860] Step 4:

[0861] The server then lists related tools and pages based on the analysis results. For example, if the user wants to create graphic data, it will select image editing software and design template pages.

[0862] Step 5:

[0863] The server generates a command to automatically launch the specified tool or page and sends it to the terminal.

[0864] Step 6:

[0865] Based on the command received from the server, the device launches the specified tool or page, for example, launching "image editing software" and accessing "design template page" in the default browser.

[0866] Step 7:

[0867] The launched tool or page advances to the front screen where it can be operated and goes into standby mode. For example, image editing software with a template open and a displayed design template page.

[0868] Step 8:

[0869] The user starts specific data creation work in the tool or page that is in standby mode.

[0870] Through the above processing steps, the user can easily access related tools and pages and quickly begin data creation work.

[0871] Example 1

[0872] 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."

[0873] Conventional systems required users to manually search for and launch specific tools or pages, which reduced operational efficiency. Furthermore, there was no system that could automatically identify and launch tools or pages based on specific keywords. This made it difficult for users to start working quickly.

[0874] 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.

[0875] In this invention, the server includes means for acquiring specific keywords and transmitting them to the server, means for analyzing the received keywords using a natural language processing algorithm, and means for identifying and listing related tools and pages based on the analysis results. This allows a user to automatically launch related tools and pages by simply inputting a specific keyword, enabling them to quickly become operable.

[0876] "Users"

[0877] refers to an end user who operates the system and enters a specific keyword.

[0878] "Interface"

[0879] It refers to the input device and software interaction method that allows users to input keywords.

[0880] Specific keywords

[0881] refers to a string of characters that a user can enter to automatically identify and launch related tools or pages.

[0882] "server"

[0883] refers to the central processing unit responsible for receiving and analyzing input keywords.

[0884] "Natural Language Processing Algorithms"

[0885] refers to a set of computational techniques that the server uses to interpret and analyze the meaning of keywords received from users.

[0886] Related tools and pages

[0887] refers to software applications and web pages identified based on keyword analysis results.

[0888] "command"

[0889] refers to the execution instructions sent from the server to the device to launch the specified tool or page.

[0890] "tool"

[0891] refers to a software application that is used to perform a specific task or operation.

[0892] "page"

[0893] refers to a particular web page displayed in a web browser.

[0894] "Standby state"

[0895] This refers to a state in which the launched tool or page is ready to accept user operations.

[0896] This invention is a system that automatically identifies and launches related tools and pages when the user inputs a specific keyword, and advances to the next screen where the user can operate the tool. This system is composed of the main components of the user interface, server, and terminal. The role and specific operation of each component are described below.

[0897] System Configuration

[0898] User Interface

[0899] The user interface includes devices and software that allow users to input keywords. Specifically, it corresponds to an input form on a web browser or an input field in a desktop application. Users input keywords through these interfaces.

[0900] server

[0901] The server analyzes the received keywords and identifies the necessary tools and pages. The server is equipped with a natural language processing algorithm, and uses, for example, Python scripts or existing natural language processing libraries (e.g., spaCy, NLTK). Based on the analysis results, the server lists the necessary tools and pages and generates commands to launch them.

[0902] Terminal

[0903] The terminal is a device that automatically launches tools and pages based on instructions from the server, specifically by using batch scripts or shell scripts to execute tools and web pages.

[0904] Program processing

[0905] 1. Keyword input by the user: The user inputs a specific keyword into the input field of a web browser or desktop application. For example, the user inputs a keyword that expresses a specific need, such as "I want to create graphic data."

[0906] 2. Obtaining and sending input: The terminal obtains the keywords entered by the user and sends them to the server as an HTTP POST request.

[0907] 3. Analysis by the server: The server receives the keywords sent from the device and analyzes them using a natural language processing algorithm. From the analysis results, it identifies the necessary tools and pages and creates a list of them.

[0908] 4. Identifying tools and pages: The server generates commands to launch the listed tools and pages. For example, in the case of "graphic data creation," "graphic design software" and "design template pages" are identified and commands to launch them are generated.

[0909] 5. Launch by the terminal: The terminal automatically launches related tools or pages based on the instruction commands received from the server, for example, launching specific software and displaying a specified web page in a browser.

[0910] 6. Preparing the operation screen: The launched tool or page is prepared until it is operational and ready for user operation. For example, graphic design software will be on standby with a template open, and the browser will display the design template page.

[0911] Specific examples

[0912] Example 1: Database data creation case

[0913] 1. User: The user enters, "I want to create database data."

[0914] 2. Device: The device obtains the keyword and sends it to the server as an HTTP POST request.

[0915] 3. Server: The server analyzes the keywords and determines that a "database management tool" and a "data formatting tool" are required. It then generates commands to launch these tools.

[0916] 4. Terminal: The terminal executes the command received from the server and automatically launches the "Database Management Tool" and "Data Formatting Tool."

[0917] 5. Operation screen: Each tool is in standby mode and ready for the user to start operating immediately.

[0918] This system allows users to quickly start creating the necessary data without much effort, making it an excellent system that significantly contributes to improving efficiency and reducing the burden on users.

[0919] Prompt Sentence Examples

[0920] An example of a prompt to be input to the generative AI model is as follows:

[0921] When a user types "I want to create database data," please explain in natural language the process that will be followed. Please provide a detailed description of each processing step on the terminal and on the server.

[0922] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0923] Step 1:

[0924] The user uses the input interface of the terminal to input a specific keyword. For example, the user may input "I want to create graphic data." This becomes input data. This input is obtained from a text box or the like in the user interface.

[0925] Specific behavior:

[0926] The user uses the keyboard to input "I want to create graphic data" into the text box.

[0927] Step 2:

[0928] The terminal takes the keyword entered by the user and formats it as an HTTP POST request to send to the server. The formatted data is the output. This request includes the entered keyword.

[0929] Specific behavior:

[0930] The terminal acquires text data such as "I want to create graphic data" from the input interface.

[0931] The terminal converts the acquired data into JSON format and sends an HTTP POST request to the server.

[0932] Step 3:

[0933] The server receives the HTTP POST request sent from the device and extracts and analyzes the keywords contained therein. This becomes the input data. The server then uses a natural language processing algorithm to analyze the keywords and create a list of the necessary tools and pages. This list becomes the output.

[0934] Specific behavior:

[0935] The server receives the HTTP request and extracts the keyword "I want to create graphic data."

[0936] Using a natural language processing algorithm (e.g., spaCy or NLTK), the keywords are analyzed and it is determined that "graphic design software" and "design template pages" are needed.

[0937] The server compiles a list of these tools and pages.

[0938] Step 4:

[0939] The server generates a command to launch the identified tool or page, and the command is the output. This generated command is sent to the device.

[0940] Specific behavior:

[0941] The server generates a command to launch the "graphic design software" (e.g., graphic_design_software.exe).

[0942] The server generates a browser command (e.g., containing a specific URL) that opens a "design template page."

[0943] Send the generated command to the terminal.

[0944] Step 5:

[0945] The device executes the command received from the server and launches the specified tool or page. The command from the server becomes the input data, and the launched tool or page becomes the output.

[0946] Specific behavior:

[0947] The terminal executes the command received from the server as an executable file.

[0948] The device will automatically open a browser and display the specified URL.

[0949] Step 6:

[0950] The launched tool or page will proceed to the nearest operable screen and wait for the user to operate. This state is the output.

[0951] Specific behavior:

[0952] Your graphic design software will be ready with the template open.

[0953] The browser will display the design template page, ready for the user to interact with.

[0954] The above is the specific processing flow of this system.

[0955] (Application example 1)

[0956] 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."

[0957] Currently, when users search for products in a virtual store, they have to manually search through a huge number of pages and product lists, which is time-consuming and labor-intensive. Furthermore, users are unable to quickly obtain specific product information, which discourages them from purchasing. To solve this problem, a system is needed that automatically identifies and launches relevant product information pages when users input specific keywords, and quickly advances to the next screen where they can operate the system.

[0958] 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.

[0959] In this invention, the server includes means for identifying information pages of related products by inputting a specific keyword, automatically launching these product information pages, and proceeding to the previous operable screen, means for analyzing the specific keyword, means for identifying related product information pages based on the analysis results, and means for automatically launching the identified product information page, thereby enabling users to access desired product information in a short time and make purchases quickly and efficiently.

[0960] A "keyword" is a word or phrase that a user enters in order to search for specific information or products.

[0961] A "product information page" is a web page or application screen that displays detailed information about a particular product.

[0962] "Launch" is an operation that puts designated software or a web page into an execution state.

[0963] The "operable screen in front" is the screen that is ready just before the user starts the desired action.

[0964] "Analysis" refers to the process of identifying related information based on the input keywords.

[0965] A "natural language processing algorithm" is an algorithm used by a computer to analyze and generate natural language.

[0966] A "server" is a computer system that provides services to other computers on a network.

[0967] A "system" is a collection of multiple elements or devices that work in conjunction with each other.

[0968] The embodiments of the present invention will be described in detail below.

[0969] This invention is a system that allows users to input specific keywords in a virtual store, identify and launch related product information pages, and proceed to the next screen where they can operate. This system aims to significantly reduce the user's time and effort and provide an efficient purchasing experience by analyzing specific keywords and automatically launching product information pages based on the analysis results.

[0970] System Configuration

[0971] The system consists of the following main components:

[0972] 1. User Interface

[0973] A smartphone application that allows users to enter specific keywords.

[0974] Example: "SmartShop Navigator," an app specifically for virtual stores.

[0975] 2. Server

[0976] Its role is to analyze the entered keywords and identify the required product information page.

[0977] Software used: Natural language processing algorithms (e.g. NLTK, spaCy).

[0978] 3. Terminal

[0979] A device that automatically launches a product information page based on instructions from the server.

[0980] Program processing

[0981] 1. User input of keywords

[0982] Users log in to the smartphone app "SmartShop Navigator" and enter specific keywords in the search bar.

[0983] For example: "I'm looking for the latest smartphone."

[0984] 2. Getting and Sending Input

[0985] The app takes the keyword entered by the user and sends it to the server as an HTTP POST request.

[0986] 3. Server Analysis

[0987] The server analyzes the received keywords and identifies related product information pages based on the analysis results.

[0988] This analysis uses natural language processing algorithms, such as NLTK or spaCy, to understand the meaning of keywords and extract related products from a database.

[0989] 4. Identifying product information pages

[0990] The server generates a URL for the identified product information page and returns it to the terminal as an instruction command.

[0991] Example: If the identified URL is "http: / / example.com / products / smartphones", send that URL to the device.

[0992] 5. Launching via terminal

[0993] The terminal automatically launches a related product information page in the browser based on the instruction command received from the server.

[0994] 6. Preparing the operation screen

[0995] The product information page is displayed in the browser, and the screen on which the user can operate is prepared.

[0996] Specific examples

[0997] If a user types "I'm looking for the latest smartphone":

[0998] The app sends the keyword to the server.

[0999] The server analyzes the keywords and identifies the URL of the "List of Newly Released Smartphones" page.

[1000] The app will automatically open this URL and display a list of new smartphone products in your browser.

[1001] Example prompt sentence:

[1002] "I'm looking for the latest smartphone."

[1003] This system allows users to efficiently access desired product information, improving the shopping experience within the virtual store. The entire system simplifies user operations and speeds up the process of purchasing.

[1004] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1005] Step 1:

[1006] A user logs in to the smartphone app "SmartShop Navigator" and enters a specific keyword. The entered keyword is saved in the app in text format. For example, a user might enter "I'm looking for the latest smartphone." This text data is used in the next step.

[1007] Step 2:

[1008] The device (smartphone app) obtains the keyword entered by the user and sends it to the server as an HTTP POST request. Input: Keyword text data "Looking for the latest smartphone." Output: HTTP POST request to the server.

[1009] Step 3:

[1010] The server extracts keywords from the received HTTP POST request and analyzes them using a natural language processing algorithm (for example, NLTK or spaCy). The purpose of the analysis is to understand the meaning of the keywords and identify product information pages related to the keywords. Input: Keyword "Looking for the latest smartphone." Data processing: Analysis using a natural language processing algorithm. Output: URL of the page "List of newly released smartphones."

[1011] Step 4:

[1012] Based on the analysis results, the server generates the URL of the relevant product information page and returns it to the terminal (smartphone app) as an instruction command. Input: URL of the product information page identified as the analysis result. Output: Instruction command for the URL "http: / / example.com / products / smartphones".

[1013] Step 5:

[1014] The terminal analyzes the instruction command received from the server and automatically launches the relevant product information page in the browser. Input: URL instruction command from the server. Action: Opens the browser and accesses the specified URL "http: / / example.com / products / smartphones". Output: Product information page displayed in the browser.

[1015] Step 6:

[1016] The product information page is displayed in the browser, and the front screen is prepared for the user to operate. The user can check the displayed product information page and begin purchasing. Input: Product information page displayed in the browser. Operation: The user can view and operate the page. Output: The user can quickly access the product information they want.

[1017] This process flow allows the user to efficiently access the desired product information, improving the shopping experience in the virtual store.

[1018] 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.

[1019] This invention is a system that, when a user inputs a specific keyword, automatically identifies and launches related tools and pages, and not only advances to the next screen where the user can operate it, but also includes an emotion engine that recognizes the user's emotions, making it possible to select more appropriate tools and pages that take the user's emotional state into consideration.

[1020] System Configuration

[1021] 1. User Interface: A device or software that allows users to input specific keywords and recognize emotions.

[1022] 2. Server: In addition to analyzing the input keywords and identifying the necessary tools and pages, it also takes into account the emotion recognition results.

[1023] 3. Terminal: A device that automatically launches a tool or page based on instructions from the server.

[1024] 4. Emotion engine: Recognizes emotions from the user's voice and facial expressions and provides the results to the server.

[1025] Program processing

[1026] The following explains the program processing of this system in natural language.

[1027] 1. User inputs keywords:

[1028] When a user inputs a specific keyword (e.g., "I want to create graphic data") into the device's input interface, the emotion engine recognizes the user's voice and facial expressions and determines their emotional state.

[1029] 2. Getting and sending input and emotions:

[1030] The device acquires the keywords entered by the user and the emotional state recognized by the emotion engine, and sends them to the server as an HTTP POST request containing the keywords and the emotion recognition results.

[1031] 3. Server analysis:

[1032] The server analyzes the received keywords and emotion recognition results, using natural language processing algorithms to identify the intended task of the keyword and then selects the most appropriate tool or page, taking into account the user's emotional state.

[1033] 4. Identify the tool or page:

[1034] The server then lists relevant tools and pages based on the analysis results. For example, if the user enters "I want to create graphic data" and determines that they are feeling tired, it will prioritize tools and pages that are easy to use.

[1035] 5. Launching tools and pages from the device:

[1036] The server generates and sends to the device an instruction command to automatically launch the specified tool or page. The device then automatically launches the associated tool (e.g., image editing software) or page (e.g., a specific URL) in response to this command.

[1037] 6. Operation screen preparation and standby:

[1038] The launched tool or page will advance to the front screen where it can be operated and will be in standby mode, for example, image editing software with a template open and a displayed design template page being arranged.

[1039] 7. User begins work:

[1040] Using the tools and pages that are in standby as instructed by the server, the user begins the actual data creation work.

[1041] Specific examples

[1042] Example 1: Database data creation case

[1043] 1. User:

[1044] When the user types "I want to create database data," the emotion engine recognizes stress from the tone of the user's voice.

[1045] 2. Terminal:

[1046] The keyword and stress state are sent to the server.

[1047] 3. Server:

[1048] Analyze keywords and stress levels to identify "SQL database managers" and "data formatting tools," but prioritize listing tools that are easy to use and intuitive.

[1049] 4. Terminal:

[1050] Execute the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[1051] 5. Operation screen:

[1052] Each tool goes into standby mode and is ready for the user to begin work.

[1053] This system provides appropriate tools and pages that take the user's emotional state into consideration, improving work efficiency and further reducing the user's burden.

[1054] The processing flow will be explained below.

[1055] Step 1:

[1056] The user uses the device's input interface to input a specific keyword, such as "I want to create ●● data." At this time, the emotion engine analyzes the user's voice and facial expressions in real time.

[1057] Step 2:

[1058] The device acquires the input keywords and the emotion data recognized by the emotion engine, and sends them to the server using an HTTP POST request, including the keywords and the emotion data.

[1059] Step 3:

[1060] The server analyzes the received keywords using a natural language processing algorithm to identify the task the user is seeking. In parallel, it analyzes the emotion data to assess the user's emotional state (e.g., stress, joy, fatigue).

[1061] Step 4:

[1062] The server identifies relevant tools and pages based on the analysis results. It also takes into account emotional data and lists the tools and pages that are best suited to the user's state. For example, for a user who is tired, it would select tools that are easy to use and intuitive.

[1063] Step 5:

[1064] The server generates an instruction command for automatically starting the specified tool or page and transmits it to the terminal.

[1065] Step 6:

[1066] Based on the instruction command received from the server, the device automatically launches the relevant tool (e.g., image editing software or database management tool) or page, and at the same time, the specified URL is opened in the default browser.

[1067] Step 7:

[1068] The launched tool or page advances to the front screen where it can be operated and goes into standby mode. For example, image editing software goes into standby mode with a template open, and the browser displays the specified design template page.

[1069] Step 8:

[1070] The user starts specific data creation work on the tool or page that is in standby mode. Selection according to the user's emotional state improves work efficiency and reduces burden.

[1071] In this way, the user can efficiently start creating data, and the emotion engine will provide tools and pages that are most appropriate for the user's situation.

[1072] Example 2

[1073] 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."

[1074] Conventional systems have the problem that they do not take into account the user's emotional state when they input specific keywords to identify and launch related tools or pages. As a result, depending on the user's state, inappropriate tools or pages may be selected, making operation complicated and increasing the burden on the user. This leads to issues such as reduced work efficiency and a poor user experience.

[1075] 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.

[1076] In this invention, the server includes means for recognizing the user's emotional state and including the result in the analysis, means for analyzing the specific keywords, and means for identifying related tools and pages based on the analysis result, thereby selecting the most appropriate tools and pages in consideration of the user's emotional state, reducing the burden on the user and improving work efficiency.

[1077] A "user" is an entity that uses the system and inputs a specific keyword.

[1078] A "keyword" is a specific word or phrase that a user enters into an input interface.

[1079] A "tool" is a software application or program used to perform a desired task by a user.

[1080] A "page" is a web page or interface displayed in a browser.

[1081] "Launch" refers to launching a specific tool or page and making it operational.

[1082] "Analysis" refers to the process of analyzing input data (keywords and emotional states) and understanding its content.

[1083] "Emotional state" refers to the emotion the user expresses when making an input (e.g., tired, stressed, happy, etc.).

[1084] A "natural language processing algorithm" is an algorithm that enables a computer to understand, analyze, and generate human language.

[1085] "Standby state" refers to the state in which a tool or page is waiting for a user action.

[1086] "Server" refers to the central processing unit of the system that analyzes data received from the user and selects the appropriate tools and pages.

[1087] The present invention is a system that automatically identifies and launches related tools and pages when a user inputs specific keywords, and also has an emotion engine that recognizes the user's emotional state. Specific embodiments of the system are described below.

[1088] System Configuration

[1089] 1. User Interface:

[1090] The user inputs specific keywords and uses devices and software to recognize emotions. Specifically, a keyboard, mouse, webcam, and microphone are used. The user's input, voice, and facial expressions are captured through these hardware devices.

[1091] 2. Server:

[1092] It analyzes the keywords entered by the user and identifies the necessary tools and pages. It also includes the emotion recognition results obtained from the emotion engine in the analysis. The server analyzes the keywords using natural language processing algorithms (e.g., GPT-3 and BERT) and selects related tools and pages.

[1093] 3. Terminal:

[1094] A device that automatically launches tools or pages based on instructions from a server. Specifically, it is a personal computer (PC) or tablet. The device executes commands received from the server and automatically opens the specified tool (e.g., image editing software) or page (e.g., a specific URL).

[1095] 4. Emotion Engine:

[1096] The emotion engine recognizes emotions from the user's voice and facial expressions and provides the results to the server. The emotion engine uses devices such as voice recognition software and a facial recognition camera. It analyzes the data obtained from these devices to determine the user's emotional state (e.g., tired, stressed, etc.).

[1097] Specific examples

[1098] The following is a specific example of the system of the present invention.

[1099] Example 1: Database data creation case

[1100] 1. User:

[1101] When the user types "I want to create database data," the emotion engine recognizes stress from the tone of the user's voice.

[1102] 2. Terminal:

[1103] The keyword and stress state are sent to the server.

[1104] 3. Server:

[1105] Analyze keywords and stress levels to identify "SQL database managers" and "data formatting tools," but prioritize listing tools that are easy to use and intuitive.

[1106] 4. Terminal:

[1107] Execute the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[1108] 5. Operation screen:

[1109] Each tool goes into standby mode and is ready for the user to begin work.

[1110] This system provides appropriate tools and pages that take the user's emotional state into consideration, thereby improving work efficiency and further reducing the user's burden.

[1111] Example prompts for generative AI models

[1112] If a user types in "I want to create database data" and the emotion engine recognizes stress, analyze what tools and pages would be best suited.

[1113] If the user's emotions are judged to be fatigued when they enter "I want to create graphic data," please list tools and pages that are easy to use.

[1114] This allows the generative AI model to perform appropriate analysis and selection.

[1115] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1116] Step 1:

[1117] The user inputs a specific keyword (e.g., "I want to create graphic data") into the device's input interface. This generates the user's keyword input data. The emotion engine also recognizes the user's voice and facial expressions in real time to determine their emotional state. This is output as emotion recognition data.

[1118] Step 2:

[1119] The device acquires keyword data entered by the user and emotion recognition data recognized by the emotion engine. This data is packaged and sent to the server as an HTTP POST request. Specifically, the user input data and emotion recognition data are converted into JSON format and sent.

[1120] Step 3:

[1121] The server analyzes the received HTTP POST request, extracts keyword data and emotion recognition data, and uses a natural language processing algorithm (e.g., GPT-3 or BERT) to identify the intent of the keywords. The emotion recognition data is used to determine the user's emotional state.

[1122] Step 4:

[1123] The server lists relevant tools and pages based on the analysis results. The analysis results are processed to generate suitable tool and page candidates. For example, if the user's emotional state is determined to be "tired" for the keyword "I want to create graphic data," tools that are easy to use (e.g., Canva) will be prioritized in the list.

[1124] Step 5:

[1125] The server generates an instruction command to launch the specified tool or page and sends it to the terminal. To generate the command, specific launch information including the URL and executable file of the tool or page is output.

[1126] Step 6:

[1127] The device receives instructions from the server and automatically launches a specified tool (e.g., image editing software) or page (e.g., a specific URL). Specifically, it opens a web browser and loads the specified URL, or executes software.

[1128] Step 7:

[1129] When the device launches a tool or page, it advances to the previous screen where it can be operated and goes into standby mode. For example, an image editing software template selection screen will be displayed, or a web page specific settings screen will be displayed.

[1130] Step 8:

[1131] The user starts specific data creation work using the tools and pages in the standby state, for example, selecting a template and editing the design, or inputting specific data in a database management tool.

[1132] This allows users to use the most appropriate tools and pages that take their emotional state into consideration, improving work efficiency.

[1133] (Application example 2)

[1134] 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."

[1135] In a factory work environment, selecting and launching the tools and pages that workers use requires a series of manual operations, which reduces efficiency and increases the burden on workers. Furthermore, selection without regard for the worker's emotions or stress level contributes to work errors and reduced efficiency. There is a need to solve these problems, reduce the burden on workers, and improve production efficiency.

[1136] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1137] In this invention, the server includes means for identifying related tools and pages when a user inputs a specific keyword, automatically launching these tools and pages, and proceeding to the previous operable screen, means for analyzing the specific keyword, means for analyzing the emotional state of the user using an emotion engine that recognizes the user's emotions, means for identifying related tools and pages based on the emotional state and keyword analysis results, and means for automatically launching the identified tools and pages. This makes it possible to select and launch appropriate tools and pages taking the user's emotional state into consideration, reducing the burden on workers and improving production efficiency.

[1138] "User input of specific keywords" refers to the act of a user providing a text or voice keyword to the system in accordance with their own intentions and purposes.

[1139] "Tools and Pages" refers to software applications and web pages that users use to perform desired tasks.

[1140] "Means to automatically launch and advance to the next screen where operation is possible" refers to a function that allows the system to use user input as a trigger to launch related tools or pages, and set up the system so that the user is ready to start operating or inputting immediately.

[1141] "Means for analyzing specific keywords" refers to a program or algorithm that understands the input keywords and identifies their content and intent.

[1142] "Means for analyzing emotional state using an emotion engine that recognizes user emotions" refers to a software component that identifies emotions from user behavior such as voice and facial expressions and evaluates the state.

[1143] "Means for identifying relevant tools and pages based on emotional state and keyword analysis results" refers to algorithms or software that comprehensively evaluate the user's emotional state and keyword analysis results and select the most appropriate tools and pages.

[1144] "Means for automatically launching the identified tool or page" refers to a mechanism by which the system automatically launches the selected tool or page without user intervention.

[1145] "Natural language processing algorithm" refers to an algorithm that uses technology to analyze keywords in input text or voice and understand their meaning and intent.

[1146] This system identifies related tools and pages when a user inputs specific keywords and automatically launches them. It also uses an emotion engine to analyze the user's emotional state and provide the most appropriate tools and pages based on that analysis. This technology is particularly applicable to work robots, such as robotic arms in factories.

[1147] The system is configured using the following hardware and software.

[1148] 1. User Interface:

[1149] It includes input devices such as a keyboard, microphone, and camera, through which users can input keywords via text or voice and capture facial expressions through camera images.

[1150] 2. Terminal:

[1151] This includes the control systems of factory robots and PCs. These devices receive input from users and process the data in conjunction with emotion engines.

[1152] 3. Server:

[1153] The server system processes and analyzes the data. Specifically, it comprehensively evaluates the data from keyword analysis and the emotion engine to select the most appropriate tools and pages. The server is equipped with natural language processing algorithms and an emotion analysis engine.

[1154] 4. Emotion Engine:

[1155] A software component that recognizes emotions from a user's voice and facial expressions. For example, an AI engine that combines voice recognition and image recognition technology falls into this category.

[1156] (Example)

[1157] For example, if a user working in a factory inputs "parts installation work" and the system recognizes the user's emotional state of concentration from the tone of their voice and facial expression, it will automatically launch tools or pages that require high accuracy and advance to the nearest operable screen. Conversely, if the user inputs the same keyword while tired, it will select tools or pages that support the work in simple mode.

[1158] (Example of a prompt)

[1159] "Select the optimal robot working mode based on the user's keyword and emotion. The keyword is 'tighten screws' and the emotion is 'concentrate'."

[1160] By implementing this invention, it becomes possible to select and launch appropriate tools and pages taking into account the emotional state of the user, which is expected to reduce the burden on workers and improve production efficiency.

[1161] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1162] (Program processing steps)

[1163] Step 1:

[1164] User-input keywords and emotion recognition

[1165] The user inputs a specific keyword through the device. The device is also equipped with a microphone and camera, which are used to acquire data in real time to recognize emotions from voice and facial expressions. The inputs are text keywords and audio / visual data, and the output is sent to the next processing step.

[1166] Step 2:

[1167] Capturing and sending input and emotions

[1168] The device analyzes the keywords entered by the user as text data, and the audio and video using an emotion recognition engine (software) to identify the user's emotional state. Emotional state data is generated as a result of the analysis. This data is sent to the server as an HTTP POST request. The input is text keywords and emotional data, and the analyzed text and emotional data are sent to the server as output.

[1169] Step 3:

[1170] Server-based keyword and sentiment analysis

[1171] The server receives the received text keywords and emotion data. Here, the server uses natural language processing algorithms to analyze the intent of the keywords. At the same time, it evaluates the emotional state data provided by the emotion engine and integrates the two to identify the most suitable tools and pages. The inputs are keywords and emotion data, and the analysis results are generated as the output.

[1172] Step 4:

[1173] Selection of tools and pages

[1174] The server lists the most appropriate tools and pages based on the analysis results. For example, if a user inputs "tighten a screw" and the emotional state is analyzed as "concentration," the server will prioritize the operation screen of a precision screw tightening tool. The input is the analysis result, and the output is a list of identified tools and pages.

[1175] Step 5:

[1176] Generate and send a launch instruction

[1177] The server generates an instruction command to launch the specified tool or page and sends it to the terminal. The instruction command contains specific operation content, and the terminal launches the tool or page accordingly. The input is a list of specified tools and pages, and the instruction command is generated as output and sent to the terminal.

[1178] Step 6:

[1179] Launching a tool or page

[1180] The terminal receives commands from the server and automatically launches the relevant tools or pages. For example, a specific image editing software or web page may be launched in a pre-specified state. The command is the input, and the launched tool or page is displayed as the output.

[1181] Step 7:

[1182] Operation screen preparation and standby

[1183] The launched tool or page undergoes final preparation and enters a standby state so that the user can immediately begin using it. For example, an image editing software with a specific template open or a web page displaying specific information is displayed. The launched tool or page is the input, and a standby, operable screen is prepared as the output.

[1184] Through the above steps, it becomes possible to efficiently and automatically select and launch appropriate tools and pages that take into account the user's emotional state.

[1185] 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.

[1186] 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.

[1187] 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.

[1188] [Fourth embodiment]

[1189] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1190] 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.

[1191] 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).

[1192] 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.

[1193] 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.

[1194] 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).

[1195] 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. 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.

[1196] 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.

[1197] 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.

[1198] 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.

[1199] 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.

[1200] 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.

[1201] 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."

[1202] This invention is a system that automatically identifies and launches related tools and pages when a user inputs a specific keyword, and advances to the previous screen where the tool or page can be operated. This system consists of the following main components:

[1203] System Configuration

[1204] 1. User Interface: A device or software that allows a user to enter specific keywords.

[1205] 2. Server: Responsible for analyzing the entered keywords and identifying the necessary tools and pages.

[1206] 3. Terminal: A device that automatically launches a tool or page based on instructions from the server.

[1207] Program processing

[1208] The following explains the program processing of this system in natural language.

[1209] 1. User inputs keywords:

[1210] The user inputs a specific keyword (e.g., "I want to create graphic data") into the input interface of the terminal.

[1211] 2. Getting and sending input:

[1212] The terminal acquires the keyword entered by the user and transmits it to the server.

[1213] Example: The device sends a keyword to the server as an HTTP POST request.

[1214] 3. Server analysis:

[1215] The server analyzes the received keywords.

[1216] This analysis uses natural language processing algorithms.

[1217] The server identifies the necessary tools and pages based on the analysis results and generates a list.

[1218] 4. Identify the tool or page:

[1219] Based on the tool or page identified by the server, an instruction command for launching it is created.

[1220] For example: If "Adobe Photoshop" and "Design Template Page" are identified as needed, commands to launch these tools are generated.

[1221] 5. Launching via terminal:

[1222] Based on the instruction command received by the device from the server, the device automatically launches the relevant tool (e.g., Photoshop) or page (e.g., a specific URL).

[1223] 6. Preparing the operation screen:

[1224] The launched tool or page advances to the previous screen where it can be operated and waits for a user operation.

[1225] Example: Photoshop will be in standby with the template open and the browser will display the design template page.

[1226] Specific examples

[1227] Example 1: Database data creation case

[1228] 1. User:

[1229] Enter "I want to create database data."

[1230] 2. Terminal:

[1231] Send the keyword to the server.

[1232] 3. Server:

[1233] Analyze the keywords and determine that an "SQL database manager" and a "data formatting tool" are needed.

[1234] Generates a command to launch the tool.

[1235] 4. Terminal:

[1236] Run the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[1237] 5. Operation screen:

[1238] Each tool goes into standby mode and is ready for the user to begin work.

[1239] 6. Users:

[1240] Using these tools, we begin the process of creating data for the database.

[1241] This system allows users to quickly begin creating the necessary data without much effort, which is particularly beneficial in improving efficiency and reducing the burden on users.

[1242] The processing flow will be explained below.

[1243] Step 1:

[1244] The user uses the input interface of the terminal to input a specific keyword such as "I want to create ●● data."

[1245] Step 2:

[1246] The device acquires the input keyword and sends it to the server as an HTTP POST request, along with the user's identification information and session information.

[1247] Step 3:

[1248] The server analyzes the received keywords and uses natural language processing algorithms to determine what the intended task is.

[1249] Step 4:

[1250] The server then lists related tools and pages based on the analysis results. For example, if the user wants to create graphic data, it will select image editing software and design template pages.

[1251] Step 5:

[1252] The server generates a command to automatically launch the specified tool or page and sends it to the terminal.

[1253] Step 6:

[1254] Based on the command received from the server, the device launches the specified tool or page, for example, launching "image editing software" and accessing "design template page" in the default browser.

[1255] Step 7:

[1256] The launched tool or page advances to the front screen where it can be operated and goes into standby mode. For example, image editing software with a template open and a displayed design template page.

[1257] Step 8:

[1258] The user starts specific data creation work in the tool or page that is in standby mode.

[1259] Through the above processing steps, the user can easily access related tools and pages and quickly begin data creation work.

[1260] Example 1

[1261] 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."

[1262] Conventional systems required users to manually search for and launch specific tools or pages, which reduced operational efficiency. Furthermore, there was no system that could automatically identify and launch tools or pages based on specific keywords. This made it difficult for users to start working quickly.

[1263] 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.

[1264] In this invention, the server includes means for acquiring specific keywords and transmitting them to the server, means for analyzing the received keywords using a natural language processing algorithm, and means for identifying and listing related tools and pages based on the analysis results. This allows a user to automatically launch related tools and pages by simply inputting a specific keyword, enabling them to quickly become operable.

[1265] "Users"

[1266] refers to an end user who operates the system and enters a specific keyword.

[1267] "Interface"

[1268] It refers to the input device and software interaction method that allows users to input keywords.

[1269] Specific keywords

[1270] refers to a string of characters that a user can enter to automatically identify and launch related tools or pages.

[1271] "server"

[1272] refers to the central processing unit responsible for receiving and analyzing input keywords.

[1273] "Natural Language Processing Algorithms"

[1274] refers to a set of computational techniques that the server uses to interpret and analyze the meaning of keywords received from users.

[1275] Related tools and pages

[1276] refers to software applications and web pages identified based on keyword analysis results.

[1277] "command"

[1278] refers to the execution instructions sent from the server to the device to launch the specified tool or page.

[1279] "tool"

[1280] refers to a software application that is used to perform a specific task or operation.

[1281] "page"

[1282] refers to a particular web page displayed in a web browser.

[1283] "Standby state"

[1284] This refers to a state in which the launched tool or page is ready to accept user operations.

[1285] This invention is a system that automatically identifies and launches related tools and pages when the user inputs a specific keyword, and advances to the next screen where the user can operate the tool. This system is composed of the main components of the user interface, server, and terminal. The role and specific operation of each component are described below.

[1286] System Configuration

[1287] User Interface

[1288] The user interface includes devices and software that allow users to input keywords. Specifically, it corresponds to an input form on a web browser or an input field in a desktop application. Users input keywords through these interfaces.

[1289] server

[1290] The server analyzes the received keywords and identifies the necessary tools and pages. The server is equipped with a natural language processing algorithm, and uses, for example, Python scripts or existing natural language processing libraries (e.g., spaCy, NLTK). Based on the analysis results, the server lists the necessary tools and pages and generates commands to launch them.

[1291] Terminal

[1292] The terminal is a device that automatically launches tools and pages based on instructions from the server, specifically by using batch scripts or shell scripts to execute tools and web pages.

[1293] Program processing

[1294] 1. Keyword input by the user: The user inputs a specific keyword into the input field of a web browser or desktop application. For example, the user inputs a keyword that expresses a specific need, such as "I want to create graphic data."

[1295] 2. Obtaining and sending input: The terminal obtains the keywords entered by the user and sends them to the server as an HTTP POST request.

[1296] 3. Analysis by the server: The server receives the keywords sent from the device and analyzes them using a natural language processing algorithm. From the analysis results, it identifies the necessary tools and pages and creates a list of them.

[1297] 4. Identifying tools and pages: The server generates commands to launch the listed tools and pages. For example, in the case of "graphic data creation," "graphic design software" and "design template pages" are identified and commands to launch them are generated.

[1298] 5. Launch by the terminal: The terminal automatically launches related tools or pages based on the instruction commands received from the server, for example, launching specific software and displaying a specified web page in a browser.

[1299] 6. Preparing the operation screen: The launched tool or page is prepared until it is operational and ready for user operation. For example, graphic design software will be on standby with a template open, and the browser will display the design template page.

[1300] Specific examples

[1301] Example 1: Database data creation case

[1302] 1. User: The user enters, "I want to create database data."

[1303] 2. Device: The device obtains the keyword and sends it to the server as an HTTP POST request.

[1304] 3. Server: The server analyzes the keywords and determines that a "database management tool" and a "data formatting tool" are required. It then generates commands to launch these tools.

[1305] 4. Terminal: The terminal executes the command received from the server and automatically launches the "Database Management Tool" and "Data Formatting Tool."

[1306] 5. Operation screen: Each tool is in standby mode and ready for the user to start operating immediately.

[1307] This system allows users to quickly start creating the necessary data without much effort, making it an excellent system that significantly contributes to improving efficiency and reducing the burden on users.

[1308] Prompt Sentence Examples

[1309] An example of a prompt to be input to the generative AI model is as follows:

[1310] When a user types "I want to create database data," please explain in natural language the process that will be followed. Please provide a detailed description of each processing step on the terminal and on the server.

[1311] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1312] Step 1:

[1313] The user uses the input interface of the terminal to input a specific keyword. For example, the user may input "I want to create graphic data." This becomes input data. This input is obtained from a text box or the like in the user interface.

[1314] Specific behavior:

[1315] The user uses the keyboard to input "I want to create graphic data" into the text box.

[1316] Step 2:

[1317] The terminal takes the keyword entered by the user and formats it as an HTTP POST request to send to the server. The formatted data is the output. This request includes the entered keyword.

[1318] Specific behavior:

[1319] The terminal acquires text data such as "I want to create graphic data" from the input interface.

[1320] The terminal converts the acquired data into JSON format and sends an HTTP POST request to the server.

[1321] Step 3:

[1322] The server receives the HTTP POST request sent from the device and extracts and analyzes the keywords contained therein. This becomes the input data. The server then uses a natural language processing algorithm to analyze the keywords and create a list of the necessary tools and pages. This list becomes the output.

[1323] Specific behavior:

[1324] The server receives the HTTP request and extracts the keyword "I want to create graphic data."

[1325] Using a natural language processing algorithm (e.g., spaCy or NLTK), the keywords are analyzed and it is determined that "graphic design software" and "design template pages" are needed.

[1326] The server compiles a list of these tools and pages.

[1327] Step 4:

[1328] The server generates a command to launch the identified tool or page, and the command is the output. This generated command is sent to the device.

[1329] Specific behavior:

[1330] The server generates a command to launch the "graphic design software" (e.g., graphic_design_software.exe).

[1331] The server generates a browser command (e.g., containing a specific URL) that opens a "design template page."

[1332] Send the generated command to the terminal.

[1333] Step 5:

[1334] The device executes the command received from the server and launches the specified tool or page. The command from the server becomes the input data, and the launched tool or page becomes the output.

[1335] Specific behavior:

[1336] The terminal executes the command received from the server as an executable file.

[1337] The device will automatically open a browser and display the specified URL.

[1338] Step 6:

[1339] The launched tool or page will proceed to the nearest operable screen and wait for the user to operate. This state is the output.

[1340] Specific behavior:

[1341] Your graphic design software will be ready with the template open.

[1342] The browser will display the design template page, ready for the user to interact with.

[1343] The above is the specific processing flow of this system.

[1344] (Application example 1)

[1345] 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."

[1346] Currently, when users search for products in a virtual store, they have to manually search through a huge number of pages and product lists, which is time-consuming and labor-intensive. Furthermore, users are unable to quickly obtain specific product information, which discourages them from purchasing. To solve this problem, a system is needed that automatically identifies and launches relevant product information pages when users input specific keywords, and quickly advances to the next screen where they can operate the system.

[1347] 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.

[1348] In this invention, the server includes means for identifying information pages of related products by inputting a specific keyword, automatically launching these product information pages, and proceeding to the previous operable screen, means for analyzing the specific keyword, means for identifying related product information pages based on the analysis results, and means for automatically launching the identified product information page, thereby enabling users to access desired product information in a short time and make purchases quickly and efficiently.

[1349] A "keyword" is a word or phrase that a user enters in order to search for specific information or products.

[1350] A "product information page" is a web page or application screen that displays detailed information about a particular product.

[1351] "Launch" is an operation that puts designated software or a web page into an execution state.

[1352] The "operable screen in front" is the screen that is ready just before the user starts the desired action.

[1353] "Analysis" refers to the process of identifying related information based on the input keywords.

[1354] A "natural language processing algorithm" is an algorithm used by a computer to analyze and generate natural language.

[1355] A "server" is a computer system that provides services to other computers on a network.

[1356] A "system" is a collection of multiple elements or devices that work in conjunction with each other.

[1357] The embodiments of the present invention will be described in detail below.

[1358] This invention is a system that allows users to input specific keywords in a virtual store, identify and launch related product information pages, and proceed to the next screen where they can operate. This system aims to significantly reduce the user's time and effort and provide an efficient purchasing experience by analyzing specific keywords and automatically launching product information pages based on the analysis results.

[1359] System Configuration

[1360] The system consists of the following main components:

[1361] 1. User Interface

[1362] A smartphone application that allows users to enter specific keywords.

[1363] Example: "SmartShop Navigator," an app specifically for virtual stores.

[1364] 2. Server

[1365] Its role is to analyze the entered keywords and identify the required product information page.

[1366] Software used: Natural language processing algorithms (e.g. NLTK, spaCy).

[1367] 3. Terminal

[1368] A device that automatically launches a product information page based on instructions from the server.

[1369] Program processing

[1370] 1. User input of keywords

[1371] Users log in to the smartphone app "SmartShop Navigator" and enter specific keywords in the search bar.

[1372] For example: "I'm looking for the latest smartphone."

[1373] 2. Getting and Sending Input

[1374] The app takes the keyword entered by the user and sends it to the server as an HTTP POST request.

[1375] 3. Server Analysis

[1376] The server analyzes the received keywords and identifies related product information pages based on the analysis results.

[1377] This analysis uses natural language processing algorithms, such as NLTK or spaCy, to understand the meaning of keywords and extract related products from a database.

[1378] 4. Identifying product information pages

[1379] The server generates a URL for the identified product information page and returns it to the terminal as an instruction command.

[1380] Example: If the identified URL is "http: / / example.com / products / smartphones", send that URL to the device.

[1381] 5. Launching via terminal

[1382] The terminal automatically launches a related product information page in the browser based on the instruction command received from the server.

[1383] 6. Preparing the operation screen

[1384] The product information page is displayed in the browser, and the screen on which the user can operate is prepared.

[1385] Specific examples

[1386] If a user types "I'm looking for the latest smartphone":

[1387] The app sends the keyword to the server.

[1388] The server analyzes the keywords and identifies the URL of the "List of Newly Released Smartphones" page.

[1389] The app will automatically open this URL and display a list of new smartphone products in your browser.

[1390] Example prompt sentence:

[1391] "I'm looking for the latest smartphone."

[1392] This system allows users to efficiently access desired product information, improving the shopping experience within the virtual store. The entire system simplifies user operations and speeds up the process of purchasing.

[1393] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1394] Step 1:

[1395] A user logs in to the smartphone app "SmartShop Navigator" and enters a specific keyword. The entered keyword is saved in the app in text format. For example, a user might enter "I'm looking for the latest smartphone." This text data is used in the next step.

[1396] Step 2:

[1397] The device (smartphone app) obtains the keyword entered by the user and sends it to the server as an HTTP POST request. Input: Keyword text data "Looking for the latest smartphone." Output: HTTP POST request to the server.

[1398] Step 3:

[1399] The server extracts keywords from the received HTTP POST request and analyzes them using a natural language processing algorithm (for example, NLTK or spaCy). The purpose of the analysis is to understand the meaning of the keywords and identify product information pages related to the keywords. Input: Keyword "Looking for the latest smartphone." Data processing: Analysis using a natural language processing algorithm. Output: URL of the page "List of newly released smartphones."

[1400] Step 4:

[1401] Based on the analysis results, the server generates the URL of the relevant product information page and returns it to the terminal (smartphone app) as an instruction command. Input: URL of the product information page identified as the analysis result. Output: Instruction command for the URL "http: / / example.com / products / smartphones".

[1402] Step 5:

[1403] The terminal analyzes the instruction command received from the server and automatically launches the relevant product information page in the browser. Input: URL instruction command from the server. Action: Opens the browser and accesses the specified URL "http: / / example.com / products / smartphones". Output: Product information page displayed in the browser.

[1404] Step 6:

[1405] The product information page is displayed in the browser, and the front screen is prepared for the user to operate. The user can check the displayed product information page and begin purchasing. Input: Product information page displayed in the browser. Operation: The user can view and operate the page. Output: The user can quickly access the product information they want.

[1406] This process flow allows the user to efficiently access the desired product information, improving the shopping experience in the virtual store.

[1407] 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.

[1408] This invention is a system that, when a user inputs a specific keyword, automatically identifies and launches related tools and pages, and not only advances to the next screen where the user can operate it, but also includes an emotion engine that recognizes the user's emotions, making it possible to select more appropriate tools and pages that take the user's emotional state into consideration.

[1409] System Configuration

[1410] 1. User Interface: A device or software that allows users to input specific keywords and recognize emotions.

[1411] 2. Server: In addition to analyzing the input keywords and identifying the necessary tools and pages, it also takes into account the emotion recognition results.

[1412] 3. Terminal: A device that automatically launches a tool or page based on instructions from the server.

[1413] 4. Emotion engine: Recognizes emotions from the user's voice and facial expressions and provides the results to the server.

[1414] Program processing

[1415] The following explains the program processing of this system in natural language.

[1416] 1. User inputs keywords:

[1417] When a user inputs a specific keyword (e.g., "I want to create graphic data") into the device's input interface, the emotion engine recognizes the user's voice and facial expressions and determines their emotional state.

[1418] 2. Getting and sending input and emotions:

[1419] The device acquires the keywords entered by the user and the emotional state recognized by the emotion engine, and sends them to the server as an HTTP POST request containing the keywords and the emotion recognition results.

[1420] 3. Server analysis:

[1421] The server analyzes the received keywords and emotion recognition results, using natural language processing algorithms to identify the intended task of the keyword and then selects the most appropriate tool or page, taking into account the user's emotional state.

[1422] 4. Identify the tool or page:

[1423] The server then lists relevant tools and pages based on the analysis results. For example, if the user enters "I want to create graphic data" and determines that they are feeling tired, it will prioritize tools and pages that are easy to use.

[1424] 5. Launching tools and pages from the device:

[1425] The server generates and sends to the device an instruction command to automatically launch the specified tool or page. The device then automatically launches the associated tool (e.g., image editing software) or page (e.g., a specific URL) in response to this command.

[1426] 6. Operation screen preparation and standby:

[1427] The launched tool or page will advance to the front screen where it can be operated and will be in standby mode, for example, image editing software with a template open and a displayed design template page being arranged.

[1428] 7. User begins work:

[1429] Using the tools and pages that are in standby as instructed by the server, the user begins the actual data creation work.

[1430] Specific examples

[1431] Example 1: Database data creation case

[1432] 1. User:

[1433] When the user types "I want to create database data," the emotion engine recognizes stress from the tone of the user's voice.

[1434] 2. Terminal:

[1435] The keyword and stress state are sent to the server.

[1436] 3. Server:

[1437] Analyze keywords and stress levels to identify "SQL database managers" and "data formatting tools," but prioritize listing tools that are easy to use and intuitive.

[1438] 4. Terminal:

[1439] Execute the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[1440] 5. Operation screen:

[1441] Each tool goes into standby mode and is ready for the user to begin work.

[1442] This system provides appropriate tools and pages that take the user's emotional state into consideration, improving work efficiency and further reducing the user's burden.

[1443] The processing flow will be explained below.

[1444] Step 1:

[1445] The user uses the device's input interface to input a specific keyword, such as "I want to create ●● data." At this time, the emotion engine analyzes the user's voice and facial expressions in real time.

[1446] Step 2:

[1447] The device acquires the input keywords and the emotion data recognized by the emotion engine, and sends them to the server using an HTTP POST request, including the keywords and the emotion data.

[1448] Step 3:

[1449] The server analyzes the received keywords using a natural language processing algorithm to identify the task the user is seeking. In parallel, it analyzes the emotion data to assess the user's emotional state (e.g., stress, joy, fatigue).

[1450] Step 4:

[1451] The server identifies relevant tools and pages based on the analysis results. It also takes into account emotional data and lists the tools and pages that are best suited to the user's state. For example, for a user who is tired, it would select tools that are easy to use and intuitive.

[1452] Step 5:

[1453] The server generates an instruction command for automatically starting the specified tool or page and transmits it to the terminal.

[1454] Step 6:

[1455] Based on the instruction command received from the server, the device automatically launches the relevant tool (e.g., image editing software or database management tool) or page, and at the same time, the specified URL is opened in the default browser.

[1456] Step 7:

[1457] The launched tool or page advances to the front screen where it can be operated and goes into standby mode. For example, image editing software goes into standby mode with a template open, and the browser displays the specified design template page.

[1458] Step 8:

[1459] The user starts specific data creation work on the tool or page that is in standby mode. Selection according to the user's emotional state improves work efficiency and reduces burden.

[1460] In this way, the user can efficiently start creating data, and the emotion engine will provide tools and pages that are most appropriate for the user's situation.

[1461] Example 2

[1462] 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."

[1463] Conventional systems have the problem that they do not take into account the user's emotional state when they input specific keywords to identify and launch related tools or pages. As a result, depending on the user's state, inappropriate tools or pages may be selected, making operation complicated and increasing the burden on the user. This leads to issues such as reduced work efficiency and a poor user experience.

[1464] 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.

[1465] In this invention, the server includes means for recognizing the user's emotional state and including the result in the analysis, means for analyzing the specific keywords, and means for identifying related tools and pages based on the analysis result, thereby selecting the most appropriate tools and pages in consideration of the user's emotional state, reducing the burden on the user and improving work efficiency.

[1466] A "user" is an entity that uses the system and inputs a specific keyword.

[1467] A "keyword" is a specific word or phrase that a user enters into an input interface.

[1468] A "tool" is a software application or program used to perform a desired task by a user.

[1469] A "page" is a web page or interface displayed in a browser.

[1470] "Launch" refers to launching a specific tool or page and making it operational.

[1471] "Analysis" refers to the process of analyzing input data (keywords and emotional states) and understanding its content.

[1472] "Emotional state" refers to the emotion the user expresses when making an input (e.g., tired, stressed, happy, etc.).

[1473] A "natural language processing algorithm" is an algorithm that enables a computer to understand, analyze, and generate human language.

[1474] "Standby state" refers to the state in which a tool or page is waiting for a user action.

[1475] "Server" refers to the central processing unit of the system that analyzes data received from the user and selects the appropriate tools and pages.

[1476] The present invention is a system that automatically identifies and launches related tools and pages when a user inputs specific keywords, and also has an emotion engine that recognizes the user's emotional state. Specific embodiments of the system are described below.

[1477] System Configuration

[1478] 1. User Interface:

[1479] The user inputs specific keywords and uses devices and software to recognize emotions. Specifically, a keyboard, mouse, webcam, and microphone are used. The user's input, voice, and facial expressions are captured through these hardware devices.

[1480] 2. Server:

[1481] It analyzes the keywords entered by the user and identifies the necessary tools and pages. It also includes the emotion recognition results obtained from the emotion engine in the analysis. The server analyzes the keywords using natural language processing algorithms (e.g., GPT-3 and BERT) and selects related tools and pages.

[1482] 3. Terminal:

[1483] A device that automatically launches tools or pages based on instructions from a server. Specifically, it is a personal computer (PC) or tablet. The device executes commands received from the server and automatically opens the specified tool (e.g., image editing software) or page (e.g., a specific URL).

[1484] 4. Emotion Engine:

[1485] The emotion engine recognizes emotions from the user's voice and facial expressions and provides the results to the server. The emotion engine uses devices such as voice recognition software and a facial recognition camera. It analyzes the data obtained from these devices to determine the user's emotional state (e.g., tired, stressed, etc.).

[1486] Specific examples

[1487] The following is a specific example of the system of the present invention.

[1488] Example 1: Database data creation case

[1489] 1. User:

[1490] When the user types "I want to create database data," the emotion engine recognizes stress from the tone of the user's voice.

[1491] 2. Terminal:

[1492] The keyword and stress state are sent to the server.

[1493] 3. Server:

[1494] Analyze keywords and stress levels to identify "SQL database managers" and "data formatting tools," but prioritize listing tools that are easy to use and intuitive.

[1495] 4. Terminal:

[1496] Execute the command to launch the "SQL Database Manager" and "Data Formatting Tool".

[1497] 5. Operation screen:

[1498] Each tool goes into standby mode and is ready for the user to begin work.

[1499] This system provides appropriate tools and pages that take the user's emotional state into consideration, thereby improving work efficiency and further reducing the user's burden.

[1500] Example prompts for generative AI models

[1501] If a user types in "I want to create database data" and the emotion engine recognizes stress, analyze what tools and pages would be best suited.

[1502] If the user's emotions are judged to be fatigued when they enter "I want to create graphic data," please list tools and pages that are easy to use.

[1503] This allows the generative AI model to perform appropriate analysis and selection.

[1504] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1505] Step 1:

[1506] The user inputs a specific keyword (e.g., "I want to create graphic data") into the device's input interface. This generates the user's keyword input data. The emotion engine also recognizes the user's voice and facial expressions in real time to determine their emotional state. This is output as emotion recognition data.

[1507] Step 2:

[1508] The device acquires keyword data entered by the user and emotion recognition data recognized by the emotion engine. This data is packaged and sent to the server as an HTTP POST request. Specifically, the user input data and emotion recognition data are converted into JSON format and sent.

[1509] Step 3:

[1510] The server analyzes the received HTTP POST request, extracts keyword data and emotion recognition data, and uses a natural language processing algorithm (e.g., GPT-3 or BERT) to identify the intent of the keywords. The emotion recognition data is used to determine the user's emotional state.

[1511] Step 4:

[1512] The server lists relevant tools and pages based on the analysis results. The analysis results are processed to generate suitable tool and page candidates. For example, if the user's emotional state is determined to be "tired" for the keyword "I want to create graphic data," tools that are easy to use (e.g., Canva) will be prioritized in the list.

[1513] Step 5:

[1514] The server generates an instruction command to launch the specified tool or page and sends it to the terminal. To generate the command, specific launch information including the URL and executable file of the tool or page is output.

[1515] Step 6:

[1516] The device receives instructions from the server and automatically launches a specified tool (e.g., image editing software) or page (e.g., a specific URL). Specifically, it opens a web browser and loads the specified URL, or executes software.

[1517] Step 7:

[1518] When the device launches a tool or page, it advances to the previous screen where it can be operated and goes into standby mode. For example, an image editing software template selection screen will be displayed, or a web page specific settings screen will be displayed.

[1519] Step 8:

[1520] The user starts specific data creation work using the tools and pages in the standby state, for example, selecting a template and editing the design, or inputting specific data in a database management tool.

[1521] This allows users to use the most appropriate tools and pages that take their emotional state into consideration, improving work efficiency.

[1522] (Application example 2)

[1523] 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."

[1524] In a factory work environment, selecting and launching the tools and pages that workers use requires a series of manual operations, which reduces efficiency and increases the burden on workers. Furthermore, selection without regard for the worker's emotions or stress level contributes to work errors and reduced efficiency. There is a need to solve these problems, reduce the burden on workers, and improve production efficiency.

[1525] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1526] In this invention, the server includes means for identifying related tools and pages when a user inputs a specific keyword, automatically launching these tools and pages, and proceeding to the previous operable screen, means for analyzing the specific keyword, means for analyzing the emotional state of the user using an emotion engine that recognizes the user's emotions, means for identifying related tools and pages based on the emotional state and keyword analysis results, and means for automatically launching the identified tools and pages. This makes it possible to select and launch appropriate tools and pages taking the user's emotional state into consideration, reducing the burden on workers and improving production efficiency.

[1527] "User input of specific keywords" refers to the act of a user providing a text or voice keyword to the system in accordance with their own intentions and purposes.

[1528] "Tools and Pages" refers to software applications and web pages that users use to perform desired tasks.

[1529] "Means to automatically launch and advance to the next screen where operation is possible" refers to a function that allows the system to use user input as a trigger to launch related tools or pages, and set up the system so that the user is ready to start operating or inputting immediately.

[1530] "Means for analyzing specific keywords" refers to a program or algorithm that understands the input keywords and identifies their content and intent.

[1531] "Means for analyzing emotional state using an emotion engine that recognizes user emotions" refers to a software component that identifies emotions from user behavior such as voice and facial expressions and evaluates the state.

[1532] "Means for identifying relevant tools and pages based on emotional state and keyword analysis results" refers to algorithms or software that comprehensively evaluate the user's emotional state and keyword analysis results and select the most appropriate tools and pages.

[1533] "Means for automatically launching the identified tool or page" refers to a mechanism by which the system automatically launches the selected tool or page without user intervention.

[1534] "Natural language processing algorithm" refers to an algorithm that uses technology to analyze keywords in input text or voice and understand their meaning and intent.

[1535] This system identifies related tools and pages when a user inputs specific keywords and automatically launches them. It also uses an emotion engine to analyze the user's emotional state and provide the most appropriate tools and pages based on that analysis. This technology is particularly applicable to work robots, such as robotic arms in factories.

[1536] The system is configured using the following hardware and software.

[1537] 1. User Interface:

[1538] It includes input devices such as a keyboard, microphone, and camera, through which users can input keywords via text or voice and capture facial expressions through camera images.

[1539] 2. Terminal:

[1540] This includes the control systems of factory robots and PCs. These devices receive input from users and process the data in conjunction with emotion engines.

[1541] 3. Server:

[1542] The server system processes and analyzes the data. Specifically, it comprehensively evaluates the data from keyword analysis and the emotion engine to select the most appropriate tools and pages. The server is equipped with natural language processing algorithms and an emotion analysis engine.

[1543] 4. Emotion Engine:

[1544] A software component that recognizes emotions from a user's voice and facial expressions. For example, an AI engine that combines voice recognition and image recognition technology falls into this category.

[1545] (Example)

[1546] For example, if a user working in a factory inputs "parts installation work" and the system recognizes the user's emotional state of concentration from the tone of their voice and facial expression, it will automatically launch tools or pages that require high accuracy and advance to the nearest operable screen. Conversely, if the user inputs the same keyword while tired, it will select tools or pages that support the work in simple mode.

[1547] (Example of a prompt)

[1548] "Select the optimal robot working mode based on the user's keyword and emotion. The keyword is 'tighten screws' and the emotion is 'concentrate'."

[1549] By implementing this invention, it becomes possible to select and launch appropriate tools and pages taking into account the emotional state of the user, which is expected to reduce the burden on workers and improve production efficiency.

[1550] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1551] (Program processing steps)

[1552] Step 1:

[1553] User-input keywords and emotion recognition

[1554] The user inputs a specific keyword through the device. The device is also equipped with a microphone and camera, which are used to acquire data in real time to recognize emotions from voice and facial expressions. The inputs are text keywords and audio / visual data, and the output is sent to the next processing step.

[1555] Step 2:

[1556] Capturing and sending input and emotions

[1557] The device analyzes the keywords entered by the user as text data, and the audio and video using an emotion recognition engine (software) to identify the user's emotional state. Emotional state data is generated as a result of the analysis. This data is sent to the server as an HTTP POST request. The input is text keywords and emotional data, and the analyzed text and emotional data are sent to the server as output.

[1558] Step 3:

[1559] Server-based keyword and sentiment analysis

[1560] The server receives the received text keywords and emotion data. Here, the server uses natural language processing algorithms to analyze the intent of the keywords. At the same time, it evaluates the emotional state data provided by the emotion engine and integrates the two to identify the most suitable tools and pages. The inputs are keywords and emotion data, and the analysis results are generated as the output.

[1561] Step 4:

[1562] Selection of tools and pages

[1563] The server lists the most appropriate tools and pages based on the analysis results. For example, if a user inputs "tighten a screw" and the emotional state is analyzed as "concentration," the server will prioritize the operation screen of a precision screw tightening tool. The input is the analysis result, and the output is a list of identified tools and pages.

[1564] Step 5:

[1565] Generate and send a launch instruction

[1566] The server generates an instruction command to launch the specified tool or page and sends it to the terminal. The instruction command contains specific operation content, and the terminal launches the tool or page accordingly. The input is a list of specified tools and pages, and the instruction command is generated as output and sent to the terminal.

[1567] Step 6:

[1568] Launching a tool or page

[1569] The terminal receives commands from the server and automatically launches the relevant tools or pages. For example, a specific image editing software or web page may be launched in a pre-specified state. The command is the input, and the launched tool or page is displayed as the output.

[1570] Step 7:

[1571] Operation screen preparation and standby

[1572] The launched tool or page undergoes final preparation and enters a standby state so that the user can immediately begin using it. For example, an image editing software with a specific template open or a web page displaying specific information is displayed. The launched tool or page is the input, and a standby, operable screen is prepared as the output.

[1573] Through the above steps, it becomes possible to efficiently and automatically select and launch appropriate tools and pages that take into account the user's emotional state.

[1574] 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.

[1575] 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.

[1576] 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.

[1577] 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.

[1578] FIG. 9 illustrates 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 behaviors 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.

[1579] 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.

[1580] 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).

[1581] 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.

[1582] 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."

[1583] 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.

[1584] 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).

[1585] 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.

[1586] 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.

[1587] 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.

[1588] 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.

[1589] 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.

[1590] 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.

[1591] 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.

[1592] 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.

[1593] 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.

[1594] 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.

[1595] The following is further disclosed regarding the above embodiment.

[1596] (Claim 1)

[1597] By entering a specific keyword,

[1598] Identify relevant tools and pages,

[1599] A way to automatically launch these tools and pages and advance to the previous screen where you can operate them,

[1600] means for analyzing the specific keyword;

[1601] A means for identifying related tools and pages based on the analysis results;

[1602] means for automatically launching the identified tool or page;

[1603] A system including:

[1604] (Claim 2)

[1605] further comprising means for placing the activated tool or page in a standby state;

[1606] 10. The system of claim 1.

[1607] (Claim 3)

[1608] using a natural language processing algorithm for said keyword analysis;

[1609] 10. The system of claim 1.

[1610] "Example 1"

[1611] (Claim 1)

[1612] means for providing an interface for a user to input a particular keyword;

[1613] means for acquiring the specific keyword and transmitting it to a server;

[1614] means for analyzing the received keywords by the server using a natural language processing algorithm;

[1615] A means for identifying and listing related tools and pages based on the analysis results;

[1616] means for generating a command to launch the identified tool or page;

[1617] means for automatically launching a tool or page in accordance with an instruction from a server based on the generated command;

[1618] means for presenting the launched tool or page in an operable state;

[1619] A system including:

[1620] (Claim 2)

[1621] 10. The system of claim 1, further comprising means for placing the launched tool or page in a standby state to await user action.

[1622] (Claim 3)

[1623] 2. The system of claim 1, further comprising means for performing keyword analysis based on the natural language processing algorithm.

[1624] "Application Example 1"

[1625] (Claim 1)

[1626] By entering a specific keyword,

[1627] Identify relevant product information pages,

[1628] A way to automatically launch these product information pages and proceed to the previous screen where you can operate them,

[1629] means for analyzing the specific keyword;

[1630] A means for identifying a related product information page based on the analysis result;

[1631] means for automatically launching the identified product information page;

[1632] A system including:

[1633] (Claim 2)

[1634] further comprising means for placing the activated product information page in a standby state;

[1635] 10. The system of claim 1.

[1636] (Claim 3)

[1637] using a natural language processing algorithm for said keyword analysis;

[1638] 10. The system of claim 1.

[1639] "Example 2: Combining Emotion Engines"

[1640] (Claim 1)

[1641] By entering a specific keyword,

[1642] Identify relevant tools and pages,

[1643] A way to automatically launch these tools and pages and advance to the previous screen where you can operate them,

[1644] means for analyzing the specific keyword;

[1645] A means for identifying related tools and pages based on the analysis results;

[1646] means for automatically launching the identified tool or page;

[1647] means for recognizing the user's emotional state and including the results in the analysis;

[1648] A system including:

[1649] (Claim 2)

[1650] 10. The system of claim 1, further comprising: means for placing the launched tool or page in a standby state.

[1651] (Claim 3)

[1652] The system of claim 1, wherein the keyword analysis uses a natural language processing algorithm.

[1653] "Application example 2 when combining emotion engines"

[1654] (Claim 1)

[1655] By entering a specific keyword,

[1656] Identify relevant tools and pages,

[1657] A way to automatically launch these tools and pages and advance to the previous screen where you can operate them,

[1658] means for analyzing the specific keyword;

[1659] A means for identifying related tools and pages based on the analysis results;

[1660] means for analyzing an emotional state of the user using an emotion engine that recognizes the user's emotions;

[1661] A means for identifying related tools and pages based on the emotional state and keyword analysis results;

[1662] means for automatically launching the identified tool or page;

[1663] A system including:

[1664] (Claim 2)

[1665] further comprising means for placing the activated tool or page in a standby state;

[1666] 10. The system of claim 1.

[1667] (Claim 3)

[1668] using natural language processing algorithms for said keyword analysis and emotional state analysis;

[1669] 10. The system of claim 1. [Explanation of symbols]

[1670] 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. By entering a specific keyword, Identify relevant tools and pages, A way to automatically launch these tools and pages and advance to the previous screen where you can operate them, means for analyzing the specific keyword; A means for identifying related tools and pages based on the analysis results; means for automatically launching the identified tool or page; A system including:

2. further comprising means for placing the activated tool or page in a standby state; The system of claim 1 .

3. using a natural language processing algorithm for said keyword analysis; The system of claim 1 .

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