system

Abstract

We provide the system. [Solution] A means of obtaining natural language input, A means for analyzing the aforementioned natural language input and identifying the intent of the instruction, A means for automatically generating a script based on the aforementioned analysis results, A means for executing the aforementioned script and performing data manipulation, Means for outputting the results of the aforementioned data manipulation, A system that includes this.

Description

【Technical Field】 , 【0004】 , , , 【0005】 , , , 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 Data operations using electronic spreadsheet software have problems that the design and operation are complex for non-technical persons and require a lot of time and labor. In particular, when performing operations such as filtering, sorting, and aggregating data based on specific conditions, specialized knowledge is required. Also, creating an automated script using a programming language poses an even higher technical hurdle. There is a need to overcome these problems and provide an environment in which users can intuitively perform data processing using natural language. 【Means for Solving the Problems】 【0005】 <This invention provides a system that analyzes natural language input and automates data manipulation based on user instructions. The system receives natural language input from the user, analyzes its content, and identifies the intent of the instruction. Based on the analyzed instruction, it automatically generates a script using template code. Furthermore, it executes the generated script to perform data manipulation and outputs the results to the user, achieving intuitive operation and high efficiency. This makes it possible for non-technical individuals to easily perform complex data processing. 【0006】 "Natural language" refers to the linguistic forms that humans use on a daily basis, and is used to enable seamless communication with computers. 【0007】 "Input" refers to data that users provide to a system, such as information or instructions. 【0008】 "Analysis" is the process of interpreting input information and understanding its meaning and intent. 【0009】 An "instruction" is a command given by a user to communicate the operations or actions they expect the system to perform. 【0010】 A "script" is a set of instructions programmed to automate a specific action or operation. 【0011】 "Automatic generation" refers to the process by which a system automatically creates programs and data based on user input. 【0012】 "Data manipulation" refers to processes such as sorting, filtering, editing, or aggregating data. 【0013】 "Output" refers to the information or results that a system provides to the user as a result of its processing. 【0014】 A "template code" is a predefined program code structure that is used as a common part during program generation. 【0015】 "Customization" is a process of adjusting and modifying existing structures and formats according to specific purposes and requirements. 【Brief Explanation of Drawings】 【0016】 [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13]It is a sequence diagram showing the processing flow of the data processing system in Embodiment 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined. 【Embodiment for Implementing the Invention】 【0017】 Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0018】 First, the terms used in the following description will be explained. 【0019】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), etc. 【0020】 In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0021】 In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disk (e.g., hard disk), or magnetic tape, etc. 【0022】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0023】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0024】 [First Embodiment] 【0025】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0026】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0027】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0028】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0029】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【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 perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0031】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0032】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0033】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0034】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0035】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0036】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0037】 This invention is implemented as a system that enables users to manipulate data in a user-friendly manner using a natural language interface. Users input inquiries and instructions about the data in natural language through a terminal. For example, they might give instructions such as, "Please sort the sales data by date in 2023." 【0038】 The server receives this natural language input and parses it using a natural language processing module. As a result of the analysis, it understands that the intended operation of the instruction is "sorting" and that the criterion is "date". Based on this, the server automatically generates a script that meets the specific conditions using Google® Apps Script (GAS) template code. 【0039】 The generated script is sent to the terminal and executed on the spreadsheet. The script then specifies a data range and sorts the data according to the specified criteria. After sorting is complete, the terminal displays the results to the user. 【0040】 For example, if a user instructs the server to "filter sales for the past week and sort them in descending order of price," the server extracts keywords such as "past week," "descend in descending order," "filter," and "sort" from this instruction and generates an appropriate script. The terminal then executes this script and displays the filtered data to the user in descending order of price. 【0041】 Thus, the present invention is a system that analyzes instructions in natural language and automatically generates scripts, thereby enabling accurate reflection of user intent in data manipulation. This allows even non-technical individuals to efficiently manage and manipulate data. 【0042】 The following describes the processing flow. 【0043】 Step 1: 【0044】 The user inputs instructions in natural language through their device. For example, they might input, "Please sort the sales data by date in 2023." 【0045】 Step 2: 【0046】 The terminal sends the user's natural language input to the server. The server receives this input and initializes the natural language processing module. 【0047】 Step 3: 【0048】 The server uses a natural language processing module to analyze the user's instructions. The analysis identifies the type of operation in the instructions (in this case, "sort") and the criteria for sorting ("by date in 2023"). 【0049】 Step 4: 【0050】 Based on the analysis results, the server automatically generates a script using a Google Apps Script (GAS) template. The script is dynamically customized to accurately reflect the instructed operations. 【0051】 Step 5: 【0052】 The server sends the generated script to the terminal. The terminal receives this script and prepares to run it on the spreadsheet. 【0053】 Step 6: 【0054】 The device executes a script on a spreadsheet and manipulates the data according to the user's instructions. Specifically, it sorts the data by date in 2023. 【0055】 Step 7: 【0056】 The terminal displays the script's execution results to the user. The user can then verify that the sorted data is as expected. 【0057】 (Example 1) 【0058】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0059】 In modern society, the demand for information management and data manipulation is increasing, creating a need for systems that allow non-technical individuals to efficiently handle data without specialized knowledge. However, conventional technologies often require users to directly write scripts or programs, making operation complex. The challenge is to solve this problem and provide user-friendly data manipulation. 【0060】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0061】 In this invention, the server includes means for acquiring output information in natural language, means for analyzing the natural language and identifying the intent of the instruction, and means for automatically generating a program based on the analysis results. This enables even non-technical users to efficiently manage and manipulate data with simple operations using natural language. 【0062】 "Natural language" refers to the language forms that humans use on a daily basis and can be used to input data manipulation instructions. 【0063】 "Means for acquiring output information" refers to elements that have the function of receiving instructions from the user in natural language and transmitting them to the server. 【0064】 "Means of analysis and identifying the intent of instructions" refers to the process of analyzing natural language input to identify the content and purpose of the data manipulation requested by the user. 【0065】 "Means for automatically generating programs based on analysis results" refers to a function that automatically generates appropriate programs for performing data manipulation using the results of natural language analysis. 【0066】 "Means for processing information" refers to elements that have the ability to execute generated programs and process or manipulate data as instructed by the user. 【0067】 "Means for presenting the results of information processing" refers to elements that have the function of displaying the results of processed data in a format that is easy for the user to understand and to allow for verification. 【0068】 "Means for applying specific conditions" refers to elements that execute a process for filtering or processing data based on conditions specified by the user. 【0069】 "Means of dynamically customizing programs using template code" refers to elements that have the functionality to generate programs necessary for specific data manipulation based on analysis results, using general template code as a base. 【0070】 This invention is implemented as a system that allows users to intuitively manipulate data using natural language. Users input instructions in natural language on a terminal. An example of a specific prompt is, "Please sort the sales data by date in 2023." 【0071】 The device sends this natural language instruction to the server. The server uses a natural language processing module equipped with a generative AI model to analyze the input and understand the intent of the user's instruction. As a result of this analysis, it is determined that the instruction means "sort" and the criterion is "date". 【0072】 Next, the server automatically generates a program for data manipulation based on the analysis results. This generation uses a common template code, allowing for flexible handling of various data operations. For example, a program for manipulating data on a spreadsheet can be generated using Google Apps Script. 【0073】 The generated program is sent to the terminal and executed on the spreadsheet. The terminal retrieves data from the spreadsheet and sorts it based on the specified criteria. After the operation is complete, the terminal displays the results to the user, confirming that the data processing was performed as instructed. 【0074】 For example, if a user enters "Filter sales for the past week and sort them in descending order of price," the server analyzes keywords such as "past week," "filtering," and "destination by price" and generates an appropriate script. This script is executed on the terminal, and the filtered data sorted in descending order is provided to the user. 【0075】 This system allows users to easily manipulate data without specialized technical skills, which is expected to improve work efficiency and productivity. 【0076】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0077】 Step 1: 【0078】 The user inputs instructions in natural language using a terminal. The terminal's specific function is to receive user input and send it to the server. For example, the user might input "Sort the data by date in 2023," and this becomes the output sent to the server. 【0079】 Step 2: 【0080】 The server receives natural language instructions sent from the terminal and performs analysis using a natural language processing module with a generative AI model. Specifically, the server extracts keywords such as "sort" and "date" from the instruction sentence to understand the user's intent. In this step, the input is the natural language instruction from the user, and the output is the analyzed intent and guidelines for data manipulation. 【0081】 Step 3: 【0082】 The server automatically generates a program using template code based on the analysis results. Specifically, it dynamically customizes the script based on the analysis results, and the generated program is configured to perform specific data manipulations using Google Apps Script. The input is the analysis results, and the output is the generated script. 【0083】 Step 4: 【0084】 The generated program is sent to the terminal, where it is executed within a spreadsheet. Specifically, it retrieves data from the spreadsheet and sorts it based on "date". The input is the script and the spreadsheet data, and the output is the sorted result. 【0085】 Step 5: 【0086】 The terminal displays the results of the sorting operation to the user. Specifically, it detects updates to the spreadsheet and provides visual feedback of the processed data to the user interface. The input is sorted data, and the output is a display in a format that the user can review. 【0087】 (Application Example 1) 【0088】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0089】 Modern transportation hubs possess vast amounts of product placement information, requiring efficient management and manipulation. However, conventional systems make it difficult for users without specialized knowledge to freely manipulate the data, resulting in problems with the efficiency and flexibility of data handling. In particular, real-time data processing and rapid information provision are crucial, but suitable means for achieving this are limited. 【0090】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0091】 In this invention, the server includes means for acquiring natural language input, means for analyzing the natural language input and identifying the intent of the instructions, means for automatically generating a script based on the analysis results, and means for integrated management of product placement information at transportation hubs. This makes it possible for users without specialized knowledge to easily obtain accurate information in real time by giving instructions for necessary data manipulation using natural language. 【0092】 "Means for obtaining natural language input" refers to a device or function for receiving instructions or inquiries from a user in natural language via a terminal. 【0093】 "Means for analyzing natural language input and identifying the intent of instructions" refers to a device or function for analyzing the content of received natural language and understanding the purpose and conditions of the operation contained therein. 【0094】 "Means for automatically generating scripts" refers to a device or function that dynamically creates code to perform a specified operation based on the intent of the analyzed instructions. 【0095】 "Means for processing information" refers to a device or function for executing generated scripts and processing or manipulating data. 【0096】 "Means for outputting the results of information processing" refers to a device or function for providing the user with the results of processed data. 【0097】 "Means for integrated management of product placement information at transportation hubs" refers to a device or function for centrally managing the inventory status and placement information of each product at a logistics center or similar location. 【0098】 In this system, as a means of implementing the invention, the user first inputs instructions in natural language using a terminal. The terminal has the function of sending this natural language input to a server. The server analyzes the input using natural language processing software such as the Google Cloud NLP API and identifies the intent of the instructions. Once the analysis is complete, the server automatically generates a script for performing the necessary data processing using Google Apps Script or similar software. The generated script is sent to the terminal and executed there using software such as a spreadsheet. 【0099】 On the terminal, the generated script processes information, for example, by sorting or filtering data in a Google Spreadsheet. Once processing is complete, the terminal has the functionality to display the results to the user. As a specific example, in inventory management at a logistics center, if a user inputs an instruction such as "Summarize this week's incoming data by category and display it in reverse chronological order," the system can understand this instruction, analyze the outgoing data, and display the results. 【0100】 As an example of a prompt, a user could enter: "Please aggregate this week's shipping data by product and display it in descending order of shipping volume." In this way, even users without specialized knowledge can quickly obtain the information they need. 【0101】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0102】 Step 1: 【0103】 The user inputs instructions in natural language using a terminal. These instructions relate to product data management at a logistics center. The entered prompts describe the data manipulation requirements in natural language. 【0104】 Step 2: 【0105】 The terminal sends the input natural language instruction to the server. The server receives the instruction and passes the input to a natural language processing module. Based on the input, analysis is performed to identify the purpose and conditions of the instruction. The data processing performed here is the interpretation of the intent of the instruction. 【0106】 Step 3: 【0107】 The server automatically generates Google Apps Script code based on the analysis results. The generated script defines how to manipulate the data. This process provides specific data calculation instructions in the form of code. 【0108】 Step 4: 【0109】 The generated script is sent to the terminal. The terminal receives this script and executes it on the database system. As a result of the data manipulation, information that meets the user's request is processed. During script execution, specified calculations and sorting are performed, and output is obtained. 【0110】 Step 5: 【0111】 The terminal displays the processing results to the user. The user can ultimately receive the information necessary for logistics management in a visualized form. The output information is data processed based on the prompt message. 【0112】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0113】 This invention is implemented as a system that efficiently analyzes user input in natural language and automates data manipulation. In addition, it aims to provide responses tailored to the user's mentality by incorporating an emotion engine for recognizing user emotions. 【0114】 The user inputs a message using natural language on their device, for example, "Please display recent sales data by date in a positive and easy-to-understand way." The device sends this input to the server. The server first analyzes the content and intent of the instruction using a natural language processing module, and then uses an emotion engine to recognize the emotions contained in the user's natural language input. For example, it might analyze that the user wants to perform the operation with positive emotions. 【0115】 Based on the analysis results, the server automatically generates an appropriate Google Apps Script (GAS) using template code. This process includes adjusting the output format and data manipulation to incorporate the analyzed sentiment information. The terminal receives the generated script and prepares to execute it. 【0116】 The device executes the generated script on the spreadsheet, sorting the data according to the user's intentions. Once sorting and filtering are complete, the device displays the results to the user in a format that reflects the emotion engine's recognition. For example, it might use soft color tones in graphs to correspond to positive emotions. 【0117】 As a concrete example of this system, if a user instructs, "I want to see recent increases and decreases in sales to feel at ease," the system analyzes this and generates a script that visually highlights the increase / decrease data in positive colors for easier understanding. In this way, it becomes possible to present data in a way that responds to the user's emotions, further improving the user experience. 【0118】 The following describes the processing flow. 【0119】 Step 1: 【0120】 The user enters instructions in natural language through their device. For example, they might enter, "Please display recent sales data positively for each day." 【0121】 Step 2: 【0122】 The terminal sends the user's natural language input to the server. The server receives this input and first initializes the natural language processing module. 【0123】 Step 3: 【0124】 The server uses a natural language processing module to analyze the user's instructions. Based on the analysis, it identifies the operation the instruction describes and understands the type of data manipulation the user is requesting (in this case, "display by date") and its emotional intent ("positively"). 【0125】 Step 4: 【0126】 The server uses an emotion engine to recognize the emotions embedded in the user's input. This step identifies what emotions the user is feeling when requesting the results. 【0127】 Step 5: 【0128】 The server automatically generates a script using a Google Apps Script (GAS) template based on the analysis results and recognized emotion information. Here, colors and formats that match positive emotions are selected. 【0129】 Step 6: 【0130】 The generated script is sent to the terminal. The terminal receives this script and prepares to execute it on the spreadsheet. 【0131】 Step 7: 【0132】 The device executes scripts on a spreadsheet to manipulate data. Specifically, sales data is organized by date and displayed with positive colors and highlighting. 【0133】 Step 8: 【0134】 The device displays the results of data manipulation to the user. The results display is designed to reflect perceived emotions and improve satisfaction with the operation. 【0135】 (Example 2) 【0136】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal." 【0137】 Conventional systems have a problem in that they cannot effectively analyze natural language input from users and perform data manipulation and output based on the user's intent and emotions. Furthermore, if data is presented without considering emotions, the user experience and understanding may decline. There is a need to solve these problems. 【0138】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0139】 In this invention, the server includes means for acquiring information in natural language, means for analyzing the natural language information and identifying the control intent, and means for recognizing the user's emotions. This enables information processing based on the user's natural language input, and further enables adjustment of the output format according to the user's emotions. 【0140】 "Natural language" refers to the forms of language that humans use on a daily basis, and which are intended to be directly interpreted by computer systems. 【0141】 "Means of acquiring information" refers to the functions and methods by which a system receives data and instructions from external sources. 【0142】 "Analysis tools" refer to functions and methods for interpreting and understanding received information and data, and for identifying intent. 【0143】 "Means for identifying the intent of control" refer to functions or methods for determining the purpose of the processing or operation requested by the user from the input data or instructions. 【0144】 "Means for automatically generating programs" refers to functions or methods that automatically create code to implement necessary commands and operations based on analysis results. 【0145】 "Means for information processing" refers to functions and methods for organizing, manipulating, and analyzing data using generated programs. 【0146】 "Output methods" refer to functions or methods for displaying processing results and analysis information to the user. 【0147】 "Means of analysis for recognizing emotions" refer to functions and methods for determining the type and tendency of emotions included in user input. 【0148】 "Means for adjusting the output format" refers to functions or methods for changing the style and format of the results displayed based on the perceived emotions. 【0149】 "Using template code" is a method of creating programs that meet specific requirements based on pre-prepared, general-purpose code. 【0150】 A description of embodiments for carrying out the present invention will be provided. 【0151】 This system is an automated system that recognizes the user's intentions and emotions based on information entered by the user in natural language through a terminal, and performs appropriate data processing. The terminal receives the user's input and sends it to the server via the internet. An example of a prompt message the user might give is, "Please display the recent sales data by date in a positive and easy-to-read format." 【0152】 The server uses advanced natural language processing techniques to analyze the input information. Specifically, it interprets user instructions using a natural language processing engine and generative AI models to identify the user's intent for data manipulation. Furthermore, it uses a sentiment analysis engine to identify the emotions contained in the user's input and adjusts the output format based on those emotions. In this process, the server dynamically and automatically generates Google Apps Script and other templates. 【0153】 The generated script is sent to the device and executed by an application on the device (e.g., spreadsheet software). This execution sorts the sales data according to the user's intentions and uses a visual layout that matches a specific emotion. For example, if the user desires positive emotions, the data will be displayed in a graph with soft colors. 【0154】 For example, if a user instructs, "I want to see recent increases and decreases in sales to feel at ease," the system interprets this input and generates a script that visually highlights the increase / decrease data in a clear and positive way. In this way, the present invention enables users to intuitively and efficiently review data in accordance with their desired emotional state. 【0155】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0156】 Step 1: 【0157】 The user enters a natural language prompt through the terminal. This input might be in the format of, for example, "Please display recent sales data by date in a positive and easy-to-read format." The entered prompt is sent to the server by the terminal. At this point, the input is the user's natural language text, and the output is data sent to the server. 【0158】 Step 2: 【0159】 The server analyzes the received prompt using a natural language processing engine. In this analysis, the server uses a generative AI model to identify the instruction and the intent behind the operation. This process involves syntactic analysis of the input natural language text, keyword extraction, and intent classification. The output identifies the user's specific requests and the purpose of the data processing. 【0160】 Step 3: 【0161】 The server uses an emotion analysis engine to recognize the user's emotions from the input prompt. The server determines the emotional state (positive, negative, neutral, etc.) from the words and expressions contained in the text. The input for this step is the analyzed prompt, and the output is the identified emotion information. 【0162】 Step 4: 【0163】 Based on the analysis results, the server automatically generates a Google Apps Script using template code. Here, the server constructs a script that reflects the identified intent and sentiment information, enabling flexible data processing. The input to this process is the analyzed intent and sentiment, and the output is the generated script code. 【0164】 Step 5: 【0165】 The generated script is sent from the server to the terminal. The terminal receives the script and prepares it for execution on the spreadsheet software. The input to this step is the script sent from the server, and the output is the terminal's preparation for script execution. 【0166】 Step 6: 【0167】 The device executes the received script on the spreadsheet. This execution sorts the data according to the user's intent and visualizes it with emotionally appropriate color tones. The input for this step is the script code to be executed, and the output is a formatted display of the data. 【0168】 Step 7: 【0169】 Finally, the terminal displays the processing results to the user. Here, the output format is tailored to the emotional information, for example, a graph with soft colors might be displayed. The input for this step is formatted data, and the output is a display of visualized data. 【0170】 (Application Example 2) 【0171】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0172】 In modern information systems, it is crucial for users to provide instructions in natural language and to manipulate data efficiently. However, traditional methods have struggled to recognize user emotions and appropriately adjust the data output format accordingly. As a result, there are challenges such as a limited user experience and reduced efficiency in data understanding. 【0173】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0174】 In this invention, the server includes means for acquiring natural language input, means for analyzing the natural language input and identifying the intent of the instruction and the user's emotions, and means for dynamically and automatically generating a script based on the analysis results. This makes it possible to customize data manipulation and visual representation according to the user's emotions and intentions, thereby enhancing the user's understanding of the data. 【0175】 "Natural language input" refers to the act of giving instructions to a computer system using the language that a user uses in everyday life. 【0176】 "Analysis" refers to the process of identifying the intent behind instructions and the user's emotions from the acquired natural language input. 【0177】 A "script" is a set of code generated to automate data manipulation. 【0178】 "Data manipulation" refers to the process of organizing, transforming, and displaying information based on acquired instructions. 【0179】 "Visual representation" refers to a method of graphically displaying analysis results or data manipulation results in a way that aligns with the user's emotional response. 【0180】 "Emotion" refers to the user's emotional state and its changes, and is an element that customizes the system's response based on that. 【0181】 This system analyzes user input in natural language along with emotional information, dynamically generates scripts based on the analysis results, and visually represents the data. This is achieved through the coordinated operation of a server and a terminal. 【0182】 The server first receives natural language text input from the user's terminal. This text input expresses the user's intended data manipulation or visual representation. The server uses a natural language processing module to analyze the intent of this input. During this process, an emotion engine operates to recognize the user's emotions and adjust the way information is delivered accordingly. 【0183】 Based on the analysis results, the server dynamically generates a Google Apps Script using template code to fulfill the user's instructions. This script is designed to manipulate data and provide visual representations that align with the user's emotions. For example, if the user instructs to "review recent spending with peace of mind," the data will be sorted, and a positive color scheme will be applied. 【0184】 The generated script is executed on the user's device. Through the executed script, the device sorts, filters, and displays data graphically in an emotionally resonant way, according to the user's intentions. This process allows for a deeper understanding of the user's data and enables the provision of a more positive experience. 【0185】 A concrete example of a prompt message is, "Please display recent transaction data in a way that is easy to understand and reassuring." In this example, the color scheme and layout of the data are adjusted according to the user's mood. 【0186】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0187】 Step 1: 【0188】 The user inputs instructions in natural language into the terminal. The terminal sends these instructions to the server as string data. The input instructions convey how the user wants to manipulate the data and their emotions during that process. 【0189】 Step 2: 【0190】 The server passes the received natural language input to a natural language processing module, which analyzes the intent of the instructions and the associated emotions. The data processing performed here involves semantically deciphering the input string and identifying the data manipulation format and emotion sequence. The analysis results include the user's desired data display style, filter conditions, and emotion-based color scheme. 【0191】 Step 3: 【0192】 The server dynamically generates Google Apps Script from a template based on the analysis results. During this script generation process, code is retrieved from the database and customized to embody the user's instructions and emotions. The generated script includes instructions for sorting and filtering data, as well as for performing emotion-based visual representations. 【0193】 Step 4: 【0194】 The server sends the generated script to the terminal. The terminal receives this script and prepares it in a locally executable format. This involves assigning the received data to the appropriate application on the terminal. 【0195】 Step 5: 【0196】 The device executes the received script to manipulate the data. Specifically, the script sorts and filters the data and visualizes the information using emotion-responsive color tones and graphic elements. The output of this process is a visually enhanced data display that aligns with the user's emotions and intentions. 【0197】 The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data. 【0198】 Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0199】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14. 【0200】 [Second Embodiment] 【0201】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0202】 As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server. 【0203】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0204】 The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52. 【0205】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0206】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0207】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0208】 Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0209】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0210】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0211】 In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0212】 Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0213】 This invention is implemented as a system that enables users to manipulate data in a user-friendly manner using a natural language interface. Users input inquiries and instructions about the data in natural language through a terminal. For example, they might give instructions such as, "Please sort the sales data by date in 2023." 【0214】 The server receives this natural language input and parses it using a natural language processing module. As a result of the parsing, it understands that the intended operation of the instruction is "sorting" and the criterion is "date". Based on this, the server automatically generates a script that meets the specific conditions using Google Apps Script (GAS) template code. 【0215】 The generated script is sent to the terminal and executed on the spreadsheet. The script then specifies a data range and sorts the data according to the specified criteria. After sorting is complete, the terminal displays the results to the user. 【0216】 For example, if a user instructs the server to "filter sales for the past week and sort them in descending order of price," the server extracts keywords such as "past week," "descend in descending order," "filter," and "sort" from this instruction and generates an appropriate script. The terminal then executes this script and displays the filtered data to the user in descending order of price. 【0217】 Thus, the present invention is a system that analyzes instructions in natural language and automatically generates scripts, thereby enabling accurate reflection of user intent in data manipulation. This allows even non-technical individuals to efficiently manage and manipulate data. 【0218】 The following describes the processing flow. 【0219】 Step 1: 【0220】 The user inputs instructions in natural language through their device. For example, they might input, "Please sort the sales data by date in 2023." 【0221】 Step 2: 【0222】 The terminal sends the user's natural language input to the server. The server receives this input and initializes the natural language processing module. 【0223】 Step 3: 【0224】 The server uses a natural language processing module to analyze the user's instructions. The analysis identifies the type of operation in the instructions (in this case, "sort") and the criteria for sorting ("by date in 2023"). 【0225】 Step 4: 【0226】 Based on the analysis results, the server automatically generates a script using a Google Apps Script (GAS) template. The script is dynamically customized to accurately reflect the instructed operations. 【0227】 Step 5: 【0228】 The server sends the generated script to the terminal. The terminal receives this script and prepares to run it on the spreadsheet. 【0229】 Step 6: 【0230】 The device executes a script on a spreadsheet and manipulates the data according to the user's instructions. Specifically, it sorts the data by date in 2023. 【0231】 Step 7: 【0232】 The terminal displays the script's execution results to the user. The user can then verify that the sorted data is as expected. 【0233】 (Example 1) 【0234】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0235】 In modern society, the demand for information management and data manipulation is increasing, creating a need for systems that allow non-technical individuals to efficiently handle data without specialized knowledge. However, conventional technologies often require users to directly write scripts or programs, making operation complex. The challenge is to solve this problem and provide user-friendly data manipulation. 【0236】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0237】 In this invention, the server includes means for acquiring output information in natural language, means for analyzing the natural language and identifying the intent of the instruction, and means for automatically generating a program based on the analysis results. This enables even non-technical users to efficiently manage and manipulate data with simple operations using natural language. 【0238】 "Natural language" refers to the language forms that humans use on a daily basis and can be used to input data manipulation instructions. 【0239】 "Means for acquiring output information" refers to elements that have the function of receiving instructions from the user in natural language and transmitting them to the server. 【0240】 "Means of analysis and identifying the intent of instructions" refers to the process of analyzing natural language input to identify the content and purpose of the data manipulation requested by the user. 【0241】 "Means for automatically generating programs based on analysis results" refers to a function that automatically generates appropriate programs for performing data manipulation using the results of natural language analysis. 【0242】 "Means for processing information" refers to elements that have the ability to execute generated programs and process or manipulate data as instructed by the user. 【0243】 "Means for presenting the results of information processing" refers to elements that have the function of displaying the results of processed data in a format that is easy for the user to understand and to allow for verification. 【0244】 "Means for applying specific conditions" refers to elements that execute a process for filtering or processing data based on conditions specified by the user. 【0245】 "Means of dynamically customizing programs using template code" refers to elements that have the functionality to generate programs necessary for specific data manipulation based on analysis results, using general template code as a base. 【0246】 This invention is implemented as a system that allows users to intuitively manipulate data using natural language. Users input instructions in natural language on a terminal. An example of a specific prompt is, "Please sort the sales data by date in 2023." 【0247】 The device sends this natural language instruction to the server. The server uses a natural language processing module equipped with a generative AI model to analyze the input and understand the intent of the user's instruction. As a result of this analysis, it is determined that the instruction means "sort" and the criterion is "date". 【0248】 Next, the server automatically generates a program for data manipulation based on the analysis results. This generation uses a common template code, allowing for flexible handling of various data operations. For example, a program for manipulating data on a spreadsheet can be generated using Google Apps Script. 【0249】 The generated program is sent to the terminal and executed on the spreadsheet. The terminal retrieves data from the spreadsheet and sorts it based on the specified criteria. After the operation is complete, the terminal displays the results to the user, confirming that the data processing was performed as instructed. 【0250】 For example, if a user enters "Filter sales for the past week and sort them in descending order of price," the server analyzes keywords such as "past week," "filtering," and "destination by price" and generates an appropriate script. This script is executed on the terminal, and the filtered data sorted in descending order is provided to the user. 【0251】 This system allows users to easily manipulate data without specialized technical skills, which is expected to improve work efficiency and productivity. 【0252】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0253】 Step 1: 【0254】 The user inputs instructions in natural language using a terminal. The terminal's specific function is to receive user input and send it to the server. For example, the user might input "Sort the data by date in 2023," and this becomes the output sent to the server. 【0255】 Step 2: 【0256】 The server receives natural language instructions sent from the terminal and performs analysis using a natural language processing module with a generative AI model. Specifically, the server extracts keywords such as "sort" and "date" from the instruction sentence to understand the user's intent. In this step, the input is the natural language instruction from the user, and the output is the analyzed intent and guidelines for data manipulation. 【0257】 Step 3: 【0258】 The server automatically generates a program using template code based on the analysis results. Specifically, it dynamically customizes the script based on the analysis results, and the generated program is configured to perform specific data manipulations using Google Apps Script. The input is the analysis results, and the output is the generated script. 【0259】 Step 4: 【0260】 The generated program is sent to the terminal, where it is executed within a spreadsheet. Specifically, it retrieves data from the spreadsheet and sorts it based on "date". The input is the script and the spreadsheet data, and the output is the sorted result. 【0261】 Step 5: 【0262】 The terminal displays the results of the sorting operation to the user. Specifically, it detects updates to the spreadsheet and provides visual feedback of the processed data to the user interface. The input is sorted data, and the output is a display in a format that the user can review. 【0263】 (Application Example 1) 【0264】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0265】 Modern transportation hubs possess vast amounts of product placement information, requiring efficient management and manipulation. However, conventional systems make it difficult for users without specialized knowledge to freely manipulate the data, resulting in problems with the efficiency and flexibility of data handling. In particular, real-time data processing and rapid information provision are crucial, but suitable means for achieving this are limited. 【0266】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0267】 In this invention, the server includes means for acquiring natural language input, means for analyzing the natural language input and identifying the intent of the instructions, means for automatically generating a script based on the analysis results, and means for integrated management of product placement information at transportation hubs. This makes it possible for users without specialized knowledge to easily obtain accurate information in real time by giving instructions for necessary data manipulation using natural language. 【0268】 "Means for obtaining natural language input" refers to a device or function for receiving instructions or inquiries from a user in natural language via a terminal. 【0269】 "Means for analyzing natural language input and identifying the intent of instructions" refers to a device or function for analyzing the content of received natural language and understanding the purpose and conditions of the operation contained therein. 【0270】 "Means for automatically generating scripts" refers to a device or function that dynamically creates code to perform a specified operation based on the intent of the analyzed instructions. 【0271】 "Means for processing information" refers to a device or function for executing generated scripts and processing or manipulating data. 【0272】 "Means for outputting the results of information processing" refers to a device or function for providing the user with the results of processed data. 【0273】 "Means for integrated management of product placement information at transportation hubs" refers to a device or function for centrally managing the inventory status and placement information of each product at a logistics center or similar location. 【0274】 In this system, as a means of implementing the invention, the user first inputs instructions in natural language using a terminal. The terminal has the function of sending this natural language input to a server. The server analyzes the input using natural language processing software such as the Google Cloud NLP API and identifies the intent of the instructions. Once the analysis is complete, the server automatically generates a script for performing the necessary data processing using Google Apps Script or similar software. The generated script is sent to the terminal and executed there using software such as a spreadsheet. 【0275】 On the terminal, the generated script processes information, for example, by sorting or filtering data in a Google Spreadsheet. Once processing is complete, the terminal has the functionality to display the results to the user. As a specific example, in inventory management at a logistics center, if a user inputs an instruction such as "Summarize this week's incoming data by category and display it in reverse chronological order," the system can understand this instruction, analyze the outgoing data, and display the results. 【0276】 As an example of a prompt, a user could enter: "Please aggregate this week's shipping data by product and display it in descending order of shipping volume." In this way, even users without specialized knowledge can quickly obtain the information they need. 【0277】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0278】 Step 1: 【0279】 The user inputs instructions in natural language using a terminal. These instructions relate to product data management at a logistics center. The entered prompts describe the data manipulation requirements in natural language. 【0280】 Step 2: 【0281】 The terminal sends the input natural language instruction to the server. The server receives the instruction and passes the input to the natural language processing module. Based on the input, analysis is performed to identify the purpose and conditions of the instruction. The data processing performed here is the interpretation of the intention of the instruction content. 【0282】 Step 3: 【0283】 Based on the analysis result, the server automatically generates the code of Google Apps Script. The generated script defines how to manipulate the data. Through this process, specific data operation instructions are obtained as code. 【0284】 Step 4: 【0285】 The generated script is sent to the terminal. The terminal receives this script and executes it on the database system. As a result of the data operation, the information that meets the user's requirements is processed. In the execution of the script, the specified calculations and sorting are performed to obtain the output. 【0286】 Step 5: 【0287】 The terminal displays the processing result to the user. The user can finally receive the information necessary for logistics management in a visualized form. The output information is the data processed based on the prompt text. 【0288】 Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion recognition model 59 and perform specific processing using the user's emotion. 【0289】 The present invention is implemented as a system that efficiently analyzes the user's input in natural language and automates data operations. In addition, by incorporating an emotion engine for recognizing the user's emotion, it aims to perform corresponding actions according to the user mentality. 【0290】 The user inputs a message using natural language on their device, for example, "Please display recent sales data by date in a positive and easy-to-understand way." The device sends this input to the server. The server first analyzes the content and intent of the instruction using a natural language processing module, and then uses an emotion engine to recognize the emotions contained in the user's natural language input. For example, it might analyze that the user wants to perform the operation with positive emotions. 【0291】 Based on the analysis results, the server automatically generates an appropriate Google Apps Script (GAS) using template code. This process includes adjusting the output format and data manipulation to incorporate the analyzed sentiment information. The terminal receives the generated script and prepares to execute it. 【0292】 The device executes the generated script on the spreadsheet, sorting the data according to the user's intentions. Once sorting and filtering are complete, the device displays the results to the user in a format that reflects the emotion engine's recognition. For example, it might use soft color tones in graphs to correspond to positive emotions. 【0293】 As a concrete example of this system, if a user instructs, "I want to see recent increases and decreases in sales to feel at ease," the system analyzes this and generates a script that visually highlights the increase / decrease data in positive colors for easier understanding. In this way, it becomes possible to present data in a way that responds to the user's emotions, further improving the user experience. 【0294】 The following describes the processing flow. 【0295】 Step 1: 【0296】 The user enters instructions in natural language through their device. For example, they might enter, "Please display recent sales data positively for each day." 【0297】 Step 2: 【0298】 The terminal sends the user's natural language input to the server. The server receives this input and first initializes the natural language processing module. 【0299】 Step 3: 【0300】 The server analyzes the user's instruction using the natural language processing module. As a result of the analysis, the operation content of the instruction is identified, and the type of data operation required by the user (in this case, "display by date") and its emotional intention ("positively") are understood. 【0301】 Step 4: 【0302】 The server uses the emotion engine to recognize the emotion embedded in the user's input. In this step, it is identified what emotion the user is seeking the result display in. 【0303】 Step 5: 【0304】 Based on the analysis result and the recognized emotion information, the server automatically generates a script by leveraging the template of Google Apps Script (GAS). Here, colors and formats suitable for positive emotions are selected. 【0305】 Step 6: 【0306】 The generated script is sent to the terminal. The terminal receives this script and prepares for script execution on the spreadsheet. 【0307】 Step 7: 【0308】 The terminal executes the script on the spreadsheet and performs data operations. Specifically, the sales data is organized by date, and the data is displayed with positive colors and emphasis. 【0309】 Step 8: 【0310】 The device displays the results of data manipulation to the user. The results display is designed to reflect perceived emotions and improve satisfaction with the operation. 【0311】 (Example 2) 【0312】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0313】 Conventional systems have a problem in that they cannot effectively analyze natural language input from users and perform data manipulation and output based on the user's intent and emotions. Furthermore, if data is presented without considering emotions, the user experience and understanding may decline. There is a need to solve these problems. 【0314】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0315】 In this invention, the server includes means for acquiring information in natural language, means for analyzing the natural language information and identifying the control intent, and means for recognizing the user's emotions. This enables information processing based on the user's natural language input, and further enables adjustment of the output format according to the user's emotions. 【0316】 "Natural language" refers to the forms of language that humans use on a daily basis, and which are intended to be directly interpreted by computer systems. 【0317】 "Means of acquiring information" refers to the functions and methods by which a system receives data and instructions from external sources. 【0318】 "Analysis tools" refer to functions and methods for interpreting and understanding received information and data, and for identifying intent. 【0319】 "Means for identifying the intent of control" refer to functions or methods for determining the purpose of the processing or operation requested by the user from the input data or instructions. 【0320】 "Means for automatically generating programs" refers to functions or methods that automatically create code to implement necessary commands and operations based on analysis results. 【0321】 "Means for information processing" refers to functions and methods for organizing, manipulating, and analyzing data using generated programs. 【0322】 "Output methods" refer to functions or methods for displaying processing results and analysis information to the user. 【0323】 "Means of analysis for recognizing emotions" refer to functions and methods for determining the type and tendency of emotions included in user input. 【0324】 "Means for adjusting the output format" refers to functions or methods for changing the style and format of the results displayed based on the perceived emotions. 【0325】 "Using template code" is a method of creating programs that meet specific requirements based on pre-prepared, general-purpose code. 【0326】 A description of embodiments for carrying out the present invention will be provided. 【0327】 This system is an automated system that recognizes the user's intentions and emotions based on information entered by the user in natural language through a terminal, and performs appropriate data processing. The terminal receives the user's input and sends it to the server via the internet. An example of a prompt message the user might give is, "Please display the recent sales data by date in a positive and easy-to-read format." 【0328】 The server uses advanced natural language processing techniques to analyze the input information. Specifically, it interprets user instructions using a natural language processing engine and generative AI models to identify the user's intent for data manipulation. Furthermore, it uses a sentiment analysis engine to identify the emotions contained in the user's input and adjusts the output format based on those emotions. In this process, the server dynamically and automatically generates Google Apps Script and other templates. 【0329】 The generated script is sent to the device and executed by an application on the device (e.g., spreadsheet software). This execution sorts the sales data according to the user's intentions and uses a visual layout that matches a specific emotion. For example, if the user desires positive emotions, the data will be displayed in a graph with soft colors. 【0330】 For example, if a user instructs, "I want to see recent increases and decreases in sales to feel at ease," the system interprets this input and generates a script that visually highlights the increase / decrease data in a clear and positive way. In this way, the present invention enables users to intuitively and efficiently review data in accordance with their desired emotional state. 【0331】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0332】 Step 1: 【0333】 The user enters a natural language prompt through the terminal. This input might be in the format of, for example, "Please display recent sales data by date in a positive and easy-to-read format." The entered prompt is sent to the server by the terminal. At this point, the input is the user's natural language text, and the output is data sent to the server. 【0334】 Step 2: 【0335】 The server analyzes the received prompt using a natural language processing engine. In this analysis, the server uses a generative AI model to identify the instruction and the intent behind the operation. This process involves syntactic analysis of the input natural language text, keyword extraction, and intent classification. The output identifies the user's specific requests and the purpose of the data processing. 【0336】 Step 3: 【0337】 The server uses an emotion analysis engine to recognize the user's emotions from the input prompt. The server determines the emotional state (positive, negative, neutral, etc.) from the words and expressions contained in the text. The input for this step is the analyzed prompt, and the output is the identified emotion information. 【0338】 Step 4: 【0339】 Based on the analysis results, the server automatically generates a Google Apps Script using template code. Here, the server constructs a script that reflects the identified intent and sentiment information, enabling flexible data processing. The input to this process is the analyzed intent and sentiment, and the output is the generated script code. 【0340】 Step 5: 【0341】 The generated script is sent from the server to the terminal. The terminal receives the script and prepares it for execution on the spreadsheet software. The input to this step is the script sent from the server, and the output is the terminal's preparation for script execution. 【0342】 Step 6: 【0343】 The device executes the received script on the spreadsheet. This execution sorts the data according to the user's intent and visualizes it with emotionally appropriate color tones. The input for this step is the script code to be executed, and the output is a formatted display of the data. 【0344】 Step 7: 【0345】 Finally, the terminal displays the processing results to the user. Here, the output format is tailored to the emotional information, for example, a graph with soft colors might be displayed. The input for this step is formatted data, and the output is a display of visualized data. 【0346】 (Application Example 2) 【0347】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0348】 In modern information systems, it is crucial for users to provide instructions in natural language and to manipulate data efficiently. However, traditional methods have struggled to recognize user emotions and appropriately adjust the data output format accordingly. As a result, there are challenges such as a limited user experience and reduced efficiency in data understanding. 【0349】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0350】 In this invention, the server includes means for acquiring natural language input, means for analyzing the natural language input and identifying the intent of the instruction and the user's emotions, and means for dynamically and automatically generating a script based on the analysis results. This makes it possible to customize data manipulation and visual representation according to the user's emotions and intentions, thereby enhancing the user's understanding of the data. 【0351】 "Natural language input" refers to the act of giving instructions to a computer system using the language that a user uses in everyday life. 【0352】 "Analysis" refers to the process of identifying the intent behind instructions and the user's emotions from the acquired natural language input. 【0353】 A "script" is a set of code generated to automate data manipulation. 【0354】 "Data manipulation" refers to the process of organizing, transforming, and displaying information based on acquired instructions. 【0355】 "Visual representation" refers to a method of graphically displaying analysis results or data manipulation results in a way that aligns with the user's emotional response. 【0356】 "Emotion" refers to the user's emotional state and its changes, and is an element that customizes the system's response based on that. 【0357】 This system analyzes user input in natural language along with emotional information, dynamically generates scripts based on the analysis results, and visually represents the data. This is achieved through the coordinated operation of a server and a terminal. 【0358】 The server first receives natural language text input from the user's terminal. This text input expresses the user's intended data manipulation or visual representation. The server uses a natural language processing module to analyze the intent of this input. During this process, an emotion engine operates to recognize the user's emotions and adjust the way information is delivered accordingly. 【0359】 Based on the analysis results, the server dynamically generates a Google Apps Script using template code to fulfill the user's instructions. This script is designed to manipulate data and provide visual representations that align with the user's emotions. For example, if the user instructs to "review recent spending with peace of mind," the data will be sorted, and a positive color scheme will be applied. 【0360】 The generated script is executed on the user's device. Through the executed script, the device sorts, filters, and displays data graphically in an emotionally resonant way, according to the user's intentions. This process allows for a deeper understanding of the user's data and enables the provision of a more positive experience. 【0361】 A concrete example of a prompt message is, "Please display recent transaction data in a way that is easy to understand and reassuring." In this example, the color scheme and layout of the data are adjusted according to the user's mood. 【0362】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0363】 Step 1: 【0364】 The user inputs instructions in natural language into the terminal. The terminal sends these instructions to the server as string data. The input instructions convey how the user wants to manipulate the data and their emotions during that process. 【0365】 Step 2: 【0366】 The server passes the received natural language input to a natural language processing module, which analyzes the intent of the instructions and the associated emotions. The data processing performed here involves semantically deciphering the input string and identifying the data manipulation format and emotion sequence. The analysis results include the user's desired data display style, filter conditions, and emotion-based color scheme. 【0367】 Step 3: 【0368】 The server dynamically generates Google Apps Script from a template based on the analysis results. During this script generation process, code is retrieved from the database and customized to embody the user's instructions and emotions. The generated script includes instructions for sorting and filtering data, as well as for performing emotion-based visual representations. 【0369】 Step 4: 【0370】 The server sends the generated script to the terminal. The terminal receives this script and prepares it in a locally executable format. This involves assigning the received data to the appropriate application on the terminal. 【0371】 Step 5: 【0372】 The device executes the received script to manipulate the data. Specifically, the script sorts and filters the data and visualizes the information using emotion-responsive color tones and graphic elements. The output of this process is a visually enhanced data display that aligns with the user's emotions and intentions. 【0373】 The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0374】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0375】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214. 【0376】 [Third Embodiment] 【0377】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0378】 As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server. 【0379】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0380】 The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52. 【0381】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0382】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0383】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0384】 Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0385】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0386】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0387】 In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0388】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal". 【0389】 This invention is implemented as a system that enables users to manipulate data in a user-friendly manner using a natural language interface. Users input inquiries and instructions about the data in natural language through a terminal. For example, they might give instructions such as, "Please sort the sales data by date in 2023." 【0390】 The server receives this natural language input and parses it using a natural language processing module. As a result of the parsing, it understands that the intended operation of the instruction is "sorting" and the criterion is "date". Based on this, the server automatically generates a script that meets the specific conditions using Google Apps Script (GAS) template code. 【0391】 The generated script is sent to the terminal and executed on the spreadsheet. The script then specifies a data range and sorts the data according to the specified criteria. After sorting is complete, the terminal displays the results to the user. 【0392】 For example, if a user instructs the server to "filter sales for the past week and sort them in descending order of price," the server extracts keywords such as "past week," "descend in descending order," "filter," and "sort" from this instruction and generates an appropriate script. The terminal then executes this script and displays the filtered data to the user in descending order of price. 【0393】 Thus, the present invention is a system that analyzes instructions in natural language and automatically generates scripts, thereby enabling accurate reflection of user intent in data manipulation. This allows even non-technical individuals to efficiently manage and manipulate data. 【0394】 The following describes the processing flow. 【0395】 Step 1: 【0396】 The user inputs instructions in natural language through their device. For example, they might input, "Please sort the sales data by date in 2023." 【0397】 Step 2: 【0398】 The terminal sends the user's natural language input to the server. The server receives this input and initializes the natural language processing module. 【0399】 Step 3: 【0400】 The server uses a natural language processing module to analyze the user's instructions. The analysis identifies the type of operation in the instructions (in this case, "sort") and the criteria for sorting ("by date in 2023"). 【0401】 Step 4: 【0402】 Based on the analysis results, the server automatically generates a script using a Google Apps Script (GAS) template. The script is dynamically customized to accurately reflect the instructed operations. 【0403】 Step 5: 【0404】 The server sends the generated script to the terminal. The terminal receives this script and prepares to run it on the spreadsheet. 【0405】 Step 6: 【0406】 The device executes a script on a spreadsheet and manipulates the data according to the user's instructions. Specifically, it sorts the data by date in 2023. 【0407】 Step 7: 【0408】 The terminal displays the script's execution results to the user. The user can then verify that the sorted data is as expected. 【0409】 (Example 1) 【0410】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0411】 In modern society, the demand for information management and data manipulation is increasing, creating a need for systems that allow non-technical individuals to efficiently handle data without specialized knowledge. However, conventional technologies often require users to directly write scripts or programs, making operation complex. The challenge is to solve this problem and provide user-friendly data manipulation. 【0412】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0413】 In this invention, the server includes means for acquiring output information in natural language, means for analyzing the natural language and identifying the intent of the instruction, and means for automatically generating a program based on the analysis results. This enables even non-technical users to efficiently manage and manipulate data with simple operations using natural language. 【0414】 "Natural language" refers to the language forms that humans use on a daily basis and can be used to input data manipulation instructions. 【0415】 "Means for acquiring output information" refers to elements that have the function of receiving instructions from the user in natural language and transmitting them to the server. 【0416】 "Means of analysis and identifying the intent of instructions" refers to the process of analyzing natural language input to identify the content and purpose of the data manipulation requested by the user. 【0417】 "Means for automatically generating programs based on analysis results" refers to a function that automatically generates appropriate programs for performing data manipulation using the results of natural language analysis. 【0418】 "Means for processing information" refers to elements that have the ability to execute generated programs and process or manipulate data as instructed by the user. 【0419】 "Means for presenting the results of information processing" refers to elements that have the function of displaying the results of processed data in a format that is easy for the user to understand and to allow for verification. 【0420】 "Means for applying specific conditions" refers to elements that execute a process for filtering or processing data based on conditions specified by the user. 【0421】 "Means of dynamically customizing programs using template code" refers to elements that have the functionality to generate programs necessary for specific data manipulation based on analysis results, using general template code as a base. 【0422】 This invention is implemented as a system that allows users to intuitively manipulate data using natural language. Users input instructions in natural language on a terminal. An example of a specific prompt is, "Please sort the sales data by date in 2023." 【0423】 The device sends this natural language instruction to the server. The server uses a natural language processing module equipped with a generative AI model to analyze the input and understand the intent of the user's instruction. As a result of this analysis, it is determined that the instruction means "sort" and the criterion is "date". 【0424】 Next, the server automatically generates a program for data manipulation based on the analysis results. This generation uses a common template code, allowing for flexible handling of various data operations. For example, a program for manipulating data on a spreadsheet can be generated using Google Apps Script. 【0425】 The generated program is sent to the terminal and executed on the spreadsheet. The terminal retrieves data from the spreadsheet and sorts it based on the specified criteria. After the operation is complete, the terminal displays the results to the user, confirming that the data processing was performed as instructed. 【0426】 For example, if a user enters "Filter sales for the past week and sort them in descending order of price," the server analyzes keywords such as "past week," "filtering," and "destination by price" and generates an appropriate script. This script is executed on the terminal, and the filtered data sorted in descending order is provided to the user. 【0427】 This system allows users to easily manipulate data without specialized technical skills, which is expected to improve work efficiency and productivity. 【0428】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0429】 Step 1: 【0430】 The user inputs instructions in natural language using a terminal. The terminal's specific function is to receive user input and send it to the server. For example, the user might input "Sort the data by date in 2023," and this becomes the output sent to the server. 【0431】 Step 2: 【0432】 The server receives natural language instructions sent from the terminal and performs analysis using a natural language processing module with a generative AI model. Specifically, the server extracts keywords such as "sort" and "date" from the instruction sentence to understand the user's intent. In this step, the input is the natural language instruction from the user, and the output is the analyzed intent and guidelines for data manipulation. 【0433】 Step 3: 【0434】 The server automatically generates a program using template code based on the analysis results. Specifically, it dynamically customizes the script based on the analysis results, and the generated program is configured to perform specific data manipulations using Google Apps Script. The input is the analysis results, and the output is the generated script. 【0435】 Step 4: 【0436】 The generated program is sent to the terminal, where it is executed within a spreadsheet. Specifically, it retrieves data from the spreadsheet and sorts it based on "date". The input is the script and the spreadsheet data, and the output is the sorted result. 【0437】 Step 5: 【0438】 The terminal displays the results of the sorting operation to the user. Specifically, it detects updates to the spreadsheet and provides visual feedback of the processed data to the user interface. The input is sorted data, and the output is a display in a format that the user can review. 【0439】 (Application Example 1) 【0440】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0441】 Modern transportation hubs possess vast amounts of product placement information, requiring efficient management and manipulation. However, conventional systems make it difficult for users without specialized knowledge to freely manipulate the data, resulting in problems with the efficiency and flexibility of data handling. In particular, real-time data processing and rapid information provision are crucial, but suitable means for achieving this are limited. 【0442】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0443】 In this invention, the server includes means for acquiring natural language input, means for analyzing the natural language input and identifying the intent of the instructions, means for automatically generating a script based on the analysis results, and means for integrated management of product placement information at transportation hubs. This makes it possible for users without specialized knowledge to easily obtain accurate information in real time by giving instructions for necessary data manipulation using natural language. 【0444】 "Means for obtaining natural language input" refers to a device or function for receiving instructions or inquiries from a user in natural language via a terminal. 【0445】 "Means for analyzing natural language input and identifying the intent of instructions" refers to a device or function for analyzing the content of received natural language and understanding the purpose and conditions of the operation contained therein. 【0446】 "Means for automatically generating scripts" refers to a device or function that dynamically creates code to perform a specified operation based on the intent of the analyzed instructions. 【0447】 "Means for processing information" refers to a device or function for executing generated scripts and processing or manipulating data. 【0448】 "Means for outputting the results of information processing" refers to a device or function for providing the user with the results of processed data. 【0449】 "Means for integrated management of product placement information at transportation hubs" refers to a device or function for centrally managing the inventory status and placement information of each product at a logistics center or similar location. 【0450】 In this system, as a means of implementing the invention, the user first inputs instructions in natural language using a terminal. The terminal has the function of sending this natural language input to a server. The server analyzes the input using natural language processing software such as the Google Cloud NLP API and identifies the intent of the instructions. Once the analysis is complete, the server automatically generates a script for performing the necessary data processing using Google Apps Script or similar software. The generated script is sent to the terminal and executed there using software such as a spreadsheet. 【0451】 On the terminal, the generated script processes information, for example, by sorting or filtering data in a Google Spreadsheet. Once processing is complete, the terminal has the functionality to display the results to the user. As a specific example, in inventory management at a logistics center, if a user inputs an instruction such as "Summarize this week's incoming data by category and display it in reverse chronological order," the system can understand this instruction, analyze the outgoing data, and display the results. 【0452】 As an example of a prompt, a user could enter: "Please aggregate this week's shipping data by product and display it in descending order of shipping volume." In this way, even users without specialized knowledge can quickly obtain the information they need. 【0453】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0454】 Step 1: 【0455】 The user inputs instructions in natural language using a terminal. These instructions relate to product data management at a logistics center. The entered prompts describe the data manipulation requirements in natural language. 【0456】 Step 2: 【0457】 The terminal sends the input natural language instruction to the server. The server receives the instruction and passes the input to a natural language processing module. Based on the input, analysis is performed to identify the purpose and conditions of the instruction. The data processing performed here is the interpretation of the intent of the instruction. 【0458】 Step 3: 【0459】 The server automatically generates Google Apps Script code based on the analysis results. The generated script defines how to manipulate the data. This process provides specific data calculation instructions in the form of code. 【0460】 Step 4: 【0461】 The generated script is sent to the terminal. The terminal receives this script and executes it on the database system. As a result of the data manipulation, information that meets the user's request is processed. During script execution, specified calculations and sorting are performed, and output is obtained. 【0462】 Step 5: 【0463】 The terminal displays the processing results to the user. The user can ultimately receive the information necessary for logistics management in a visualized form. The output information is data processed based on the prompt message. 【0464】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0465】 This invention is implemented as a system that efficiently analyzes user input in natural language and automates data manipulation. In addition, it aims to provide responses tailored to the user's mentality by incorporating an emotion engine for recognizing user emotions. 【0466】 The user inputs a message using natural language on their device, for example, "Please display recent sales data by date in a positive and easy-to-understand way." The device sends this input to the server. The server first analyzes the content and intent of the instruction using a natural language processing module, and then uses an emotion engine to recognize the emotions contained in the user's natural language input. For example, it might analyze that the user wants to perform the operation with positive emotions. 【0467】 Based on the analysis results, the server automatically generates an appropriate Google Apps Script (GAS) using template code. This process includes adjusting the output format and data manipulation to incorporate the analyzed sentiment information. The terminal receives the generated script and prepares to execute it. 【0468】 The device executes the generated script on the spreadsheet, sorting the data according to the user's intentions. Once sorting and filtering are complete, the device displays the results to the user in a format that reflects the emotion engine's recognition. For example, it might use soft color tones in graphs to correspond to positive emotions. 【0469】 As a concrete example of this system, if a user instructs, "I want to see recent increases and decreases in sales to feel at ease," the system analyzes this and generates a script that visually highlights the increase / decrease data in positive colors for easier understanding. In this way, it becomes possible to present data in a way that responds to the user's emotions, further improving the user experience. 【0470】 The following describes the processing flow. 【0471】 Step 1: 【0472】 The user enters instructions in natural language through their device. For example, they might enter, "Please display recent sales data positively for each day." 【0473】 Step 2: 【0474】 The terminal sends the user's natural language input to the server. The server receives this input and first initializes the natural language processing module. 【0475】 Step 3: 【0476】 The server uses a natural language processing module to analyze the user's instructions. Based on the analysis, it identifies the operation the instruction describes and understands the type of data manipulation the user is requesting (in this case, "display by date") and its emotional intent ("positively"). 【0477】 Step 4: 【0478】 The server uses an emotion engine to recognize the emotions embedded in the user's input. This step identifies what emotions the user is feeling when requesting the results. 【0479】 Step 5: 【0480】 The server automatically generates a script using a Google Apps Script (GAS) template based on the analysis results and recognized emotion information. Here, colors and formats that match positive emotions are selected. 【0481】 Step 6: 【0482】 The generated script is sent to the terminal. The terminal receives this script and prepares to execute it on the spreadsheet. 【0483】 Step 7: 【0484】 The device executes scripts on a spreadsheet to manipulate data. Specifically, sales data is organized by date and displayed with positive colors and highlighting. 【0485】 Step 8: 【0486】 The device displays the results of data manipulation to the user. The results display is designed to reflect perceived emotions and improve satisfaction with the operation. 【0487】 (Example 2) 【0488】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0489】 Conventional systems have a problem in that they cannot effectively analyze natural language input from users and perform data manipulation and output based on the user's intent and emotions. Furthermore, if data is presented without considering emotions, the user experience and understanding may decline. There is a need to solve these problems. 【0490】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0491】 In this invention, the server includes means for acquiring information in natural language, means for analyzing the natural language information and identifying the control intent, and means for recognizing the user's emotions. This enables information processing based on the user's natural language input, and further enables adjustment of the output format according to the user's emotions. 【0492】 "Natural language" refers to the forms of language that humans use on a daily basis, and which are intended to be directly interpreted by computer systems. 【0493】 "Means of acquiring information" refers to the functions and methods by which a system receives data and instructions from external sources. 【0494】 "Analysis tools" refer to functions and methods for interpreting and understanding received information and data, and for identifying intent. 【0495】 "Means for identifying the intent of control" refer to functions or methods for determining the purpose of the processing or operation requested by the user from the input data or instructions. 【0496】 "Means for automatically generating programs" refers to functions or methods that automatically create code to implement necessary commands and operations based on analysis results. 【0497】 "Means for information processing" refers to functions and methods for organizing, manipulating, and analyzing data using generated programs. 【0498】 "Output methods" refer to functions or methods for displaying processing results and analysis information to the user. 【0499】 "Means of analysis for recognizing emotions" refer to functions and methods for determining the type and tendency of emotions included in user input. 【0500】 "Means for adjusting the output format" refers to functions or methods for changing the style and format of the results displayed based on the perceived emotions. 【0501】 "Using template code" is a method of creating programs that meet specific requirements based on pre-prepared, general-purpose code. 【0502】 A description of embodiments for carrying out the present invention will be provided. 【0503】 This system is an automated system that recognizes the user's intentions and emotions based on information entered by the user in natural language through a terminal, and performs appropriate data processing. The terminal receives the user's input and sends it to the server via the internet. An example of a prompt message the user might give is, "Please display the recent sales data by date in a positive and easy-to-read format." 【0504】 The server uses advanced natural language processing techniques to analyze the input information. Specifically, it interprets user instructions using a natural language processing engine and generative AI models to identify the user's intent for data manipulation. Furthermore, it uses a sentiment analysis engine to identify the emotions contained in the user's input and adjusts the output format based on those emotions. In this process, the server dynamically and automatically generates Google Apps Script and other templates. 【0505】 The generated script is sent to the device and executed by an application on the device (e.g., spreadsheet software). This execution sorts the sales data according to the user's intentions and uses a visual layout that matches a specific emotion. For example, if the user desires positive emotions, the data will be displayed in a graph with soft colors. 【0506】 For example, if a user instructs, "I want to see recent increases and decreases in sales to feel at ease," the system interprets this input and generates a script that visually highlights the increase / decrease data in a clear and positive way. In this way, the present invention enables users to intuitively and efficiently review data in accordance with their desired emotional state. 【0507】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0508】 Step 1: 【0509】 The user enters a natural language prompt through the terminal. This input might be in the format of, for example, "Please display recent sales data by date in a positive and easy-to-read format." The entered prompt is sent to the server by the terminal. At this point, the input is the user's natural language text, and the output is data sent to the server. 【0510】 Step 2: 【0511】 The server analyzes the received prompt using a natural language processing engine. In this analysis, the server uses a generative AI model to identify the instruction and the intent behind the operation. This process involves syntactic analysis of the input natural language text, keyword extraction, and intent classification. The output identifies the user's specific requests and the purpose of the data processing. 【0512】 Step 3: 【0513】 The server uses an emotion analysis engine to recognize the user's emotions from the input prompt. The server determines the emotional state (positive, negative, neutral, etc.) from the words and expressions contained in the text. The input for this step is the analyzed prompt, and the output is the identified emotion information. 【0514】 Step 4: 【0515】 Based on the analysis results, the server automatically generates a Google Apps Script using template code. Here, the server constructs a script that reflects the identified intent and sentiment information, enabling flexible data processing. The input to this process is the analyzed intent and sentiment, and the output is the generated script code. 【0516】 Step 5: 【0517】 The generated script is sent from the server to the terminal. The terminal receives the script and prepares it for execution on the spreadsheet software. The input to this step is the script sent from the server, and the output is the terminal's preparation for script execution. 【0518】 Step 6: 【0519】 The device executes the received script on the spreadsheet. This execution sorts the data according to the user's intent and visualizes it with emotionally appropriate color tones. The input for this step is the script code to be executed, and the output is a formatted display of the data. 【0520】 Step 7: 【0521】 Finally, the terminal displays the processing results to the user. Here, the output format is tailored to the emotional information, for example, a graph with soft colors might be displayed. The input for this step is formatted data, and the output is a display of visualized data. 【0522】 (Application Example 2) 【0523】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal." 【0524】 In modern information systems, it is crucial for users to provide instructions in natural language and to manipulate data efficiently. However, traditional methods have struggled to recognize user emotions and appropriately adjust the data output format accordingly. As a result, there are challenges such as a limited user experience and reduced efficiency in data understanding. 【0525】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0526】 In this invention, the server includes means for acquiring natural language input, means for analyzing the natural language input and identifying the intent of the instruction and the user's emotions, and means for dynamically and automatically generating a script based on the analysis results. This makes it possible to customize data manipulation and visual representation according to the user's emotions and intentions, thereby enhancing the user's understanding of the data. 【0527】 "Natural language input" refers to the act of giving instructions to a computer system using the language that a user uses in everyday life. 【0528】 "Analysis" refers to the process of identifying the intent behind instructions and the user's emotions from the acquired natural language input. 【0529】 A "script" is a set of code generated to automate data manipulation. 【0530】 "Data manipulation" refers to the process of organizing, transforming, and displaying information based on acquired instructions. 【0531】 "Visual representation" refers to a method of graphically displaying analysis results or data manipulation results in a way that aligns with the user's emotional response. 【0532】 "Emotion" refers to the user's emotional state and its changes, and is an element that customizes the system's response based on that. 【0533】 This system analyzes user input in natural language along with emotional information, dynamically generates scripts based on the analysis results, and visually represents the data. This is achieved through the coordinated operation of a server and a terminal. 【0534】 The server first receives natural language text input from the user's terminal. This text input expresses the user's intended data manipulation or visual representation. The server uses a natural language processing module to analyze the intent of this input. During this process, an emotion engine operates to recognize the user's emotions and adjust the way information is delivered accordingly. 【0535】 Based on the analysis results, the server dynamically generates a Google Apps Script using template code to fulfill the user's instructions. This script is designed to manipulate data and provide visual representations that align with the user's emotions. For example, if the user instructs to "review recent spending with peace of mind," the data will be sorted, and a positive color scheme will be applied. 【0536】 The generated script is executed on the user's device. Through the executed script, the device sorts, filters, and displays data graphically in an emotionally resonant way, according to the user's intentions. This process allows for a deeper understanding of the user's data and enables the provision of a more positive experience. 【0537】 A concrete example of a prompt message is, "Please display recent transaction data in a way that is easy to understand and reassuring." In this example, the color scheme and layout of the data are adjusted according to the user's mood. 【0538】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0539】 Step 1: 【0540】 The user inputs instructions in natural language into the terminal. The terminal sends these instructions to the server as string data. The input instructions convey how the user wants to manipulate the data and their emotions during that process. 【0541】 Step 2: 【0542】 The server passes the received natural language input to a natural language processing module, which analyzes the intent of the instructions and the associated emotions. The data processing performed here involves semantically deciphering the input string and identifying the data manipulation format and emotion sequence. The analysis results include the user's desired data display style, filter conditions, and emotion-based color scheme. 【0543】 Step 3: 【0544】 The server dynamically generates Google Apps Script from a template based on the analysis results. During this script generation process, code is retrieved from the database and customized to embody the user's instructions and emotions. The generated script includes instructions for sorting and filtering data, as well as for performing emotion-based visual representations. 【0545】 Step 4: 【0546】 The server sends the generated script to the terminal. The terminal receives this script and prepares it in a locally executable format. This involves assigning the received data to the appropriate application on the terminal. 【0547】 Step 5: 【0548】 The device executes the received script to manipulate the data. Specifically, the script sorts and filters the data and visualizes the information using emotion-responsive color tones and graphic elements. The output of this process is a visually enhanced data display that aligns with the user's emotions and intentions. 【0549】 The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0550】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0551】 In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314. 【0552】 [Fourth Embodiment] 【0553】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0554】 As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server. 【0555】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0556】 The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52. 【0557】 The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46. 【0558】 Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision). 【0559】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner. 【0560】 The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes. 【0561】 Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56. 【0562】 The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30. 【0563】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0564】 In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0565】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0566】 This invention is implemented as a system that enables users to manipulate data in a user-friendly manner using a natural language interface. Users input inquiries and instructions about the data in natural language through a terminal. For example, they might give instructions such as, "Please sort the sales data by date in 2023." 【0567】 The server receives this natural language input and parses it using a natural language processing module. As a result of the parsing, it understands that the intended operation of the instruction is "sorting" and the criterion is "date". Based on this, the server automatically generates a script that meets the specific conditions using Google Apps Script (GAS) template code. 【0568】 The generated script is sent to the terminal and executed on the spreadsheet. The script then specifies a data range and sorts the data according to the specified criteria. After sorting is complete, the terminal displays the results to the user. 【0569】 For example, if a user instructs the server to "filter sales for the past week and sort them in descending order of price," the server extracts keywords such as "past week," "descend in descending order," "filter," and "sort" from this instruction and generates an appropriate script. The terminal then executes this script and displays the filtered data to the user in descending order of price. 【0570】 Thus, the present invention is a system that analyzes instructions in natural language and automatically generates scripts, thereby enabling accurate reflection of user intent in data manipulation. This allows even non-technical individuals to efficiently manage and manipulate data. 【0571】 The following describes the processing flow. 【0572】 Step 1: 【0573】 The user inputs instructions in natural language through their device. For example, they might input, "Please sort the sales data by date in 2023." 【0574】 Step 2: 【0575】 The terminal sends the user's natural language input to the server. The server receives this input and initializes the natural language processing module. 【0576】 Step 3: 【0577】 The server uses a natural language processing module to analyze the user's instructions. The analysis identifies the type of operation in the instructions (in this case, "sort") and the criteria for sorting ("by date in 2023"). 【0578】 Step 4: 【0579】 Based on the analysis results, the server automatically generates a script using a Google Apps Script (GAS) template. The script is dynamically customized to accurately reflect the instructed operations. 【0580】 Step 5: 【0581】 The server sends the generated script to the terminal. The terminal receives this script and prepares to run it on the spreadsheet. 【0582】 Step 6: 【0583】 The device executes a script on a spreadsheet and manipulates the data according to the user's instructions. Specifically, it sorts the data by date in 2023. 【0584】 Step 7: 【0585】 The terminal displays the script's execution results to the user. The user can then verify that the sorted data is as expected. 【0586】 (Example 1) 【0587】 Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0588】 In modern society, the demand for information management and data manipulation is increasing, creating a need for systems that allow non-technical individuals to efficiently handle data without specialized knowledge. However, conventional technologies often require users to directly write scripts or programs, making operation complex. The challenge is to solve this problem and provide user-friendly data manipulation. 【0589】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means. 【0590】 In this invention, the server includes means for acquiring output information in natural language, means for analyzing the natural language and identifying the intent of the instruction, and means for automatically generating a program based on the analysis results. This enables even non-technical users to efficiently manage and manipulate data with simple operations using natural language. 【0591】 "Natural language" refers to the language forms that humans use on a daily basis and can be used to input data manipulation instructions. 【0592】 "Means for acquiring output information" refers to elements that have the function of receiving instructions from the user in natural language and transmitting them to the server. 【0593】 "Means of analysis and identifying the intent of instructions" refers to the process of analyzing natural language input to identify the content and purpose of the data manipulation requested by the user. 【0594】 "Means for automatically generating programs based on analysis results" refers to a function that automatically generates appropriate programs for performing data manipulation using the results of natural language analysis. 【0595】 "Means for processing information" refers to elements that have the ability to execute generated programs and process or manipulate data as instructed by the user. 【0596】 "Means for presenting the results of information processing" refers to elements that have the function of displaying the results of processed data in a format that is easy for the user to understand and to allow for verification. 【0597】 "Means for applying specific conditions" refers to elements that execute a process for filtering or processing data based on conditions specified by the user. 【0598】 "Means of dynamically customizing programs using template code" refers to elements that have the functionality to generate programs necessary for specific data manipulation based on analysis results, using general template code as a base. 【0599】 This invention is implemented as a system that allows users to intuitively manipulate data using natural language. Users input instructions in natural language on a terminal. An example of a specific prompt is, "Please sort the sales data by date in 2023." 【0600】 The device sends this natural language instruction to the server. The server uses a natural language processing module equipped with a generative AI model to analyze the input and understand the intent of the user's instruction. As a result of this analysis, it is determined that the instruction means "sort" and the criterion is "date". 【0601】 Next, the server automatically generates a program for data manipulation based on the analysis results. This generation uses a common template code, allowing for flexible handling of various data operations. For example, a program for manipulating data on a spreadsheet can be generated using Google Apps Script. 【0602】 The generated program is sent to the terminal and executed on the spreadsheet. The terminal retrieves data from the spreadsheet and sorts it based on the specified criteria. After the operation is complete, the terminal displays the results to the user, confirming that the data processing was performed as instructed. 【0603】 For example, if a user enters "Filter sales for the past week and sort them in descending order of price," the server analyzes keywords such as "past week," "filtering," and "destination by price" and generates an appropriate script. This script is executed on the terminal, and the filtered data sorted in descending order is provided to the user. 【0604】 This system allows users to easily manipulate data without specialized technical skills, which is expected to improve work efficiency and productivity. 【0605】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0606】 Step 1: 【0607】 The user inputs instructions in natural language using a terminal. The terminal's specific function is to receive user input and send it to the server. For example, the user might input "Sort the data by date in 2023," and this becomes the output sent to the server. 【0608】 Step 2: 【0609】 The server receives natural language instructions sent from the terminal and performs analysis using a natural language processing module with a generative AI model. Specifically, the server extracts keywords such as "sort" and "date" from the instruction sentence to understand the user's intent. In this step, the input is the natural language instruction from the user, and the output is the analyzed intent and guidelines for data manipulation. 【0610】 Step 3: 【0611】 The server automatically generates a program using template code based on the analysis results. Specifically, it dynamically customizes the script based on the analysis results, and the generated program is configured to perform specific data manipulations using Google Apps Script. The input is the analysis results, and the output is the generated script. 【0612】 Step 4: 【0613】 The generated program is sent to the terminal, where it is executed within a spreadsheet. Specifically, it retrieves data from the spreadsheet and sorts it based on "date". The input is the script and the spreadsheet data, and the output is the sorted result. 【0614】 Step 5: 【0615】 The terminal displays the results of the sorting operation to the user. Specifically, it detects updates to the spreadsheet and provides visual feedback of the processed data to the user interface. The input is sorted data, and the output is a display in a format that the user can review. 【0616】 (Application Example 1) 【0617】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0618】 Modern transportation hubs possess vast amounts of product placement information, requiring efficient management and manipulation. However, conventional systems make it difficult for users without specialized knowledge to freely manipulate the data, resulting in problems with the efficiency and flexibility of data handling. In particular, real-time data processing and rapid information provision are crucial, but suitable means for achieving this are limited. 【0619】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0620】 In this invention, the server includes means for acquiring natural language input, means for analyzing the natural language input and identifying the intent of the instructions, means for automatically generating a script based on the analysis results, and means for integrated management of product placement information at transportation hubs. This makes it possible for users without specialized knowledge to easily obtain accurate information in real time by giving instructions for necessary data manipulation using natural language. 【0621】 "Means for obtaining natural language input" refers to a device or function for receiving instructions or inquiries from a user in natural language via a terminal. 【0622】 "Means for analyzing natural language input and identifying the intent of instructions" refers to a device or function for analyzing the content of received natural language and understanding the purpose and conditions of the operation contained therein. 【0623】 "Means for automatically generating scripts" refers to a device or function that dynamically creates code to perform a specified operation based on the intent of the analyzed instructions. 【0624】 "Means for processing information" refers to a device or function for executing generated scripts and processing or manipulating data. 【0625】 "Means for outputting the results of information processing" refers to a device or function for providing the user with the results of processed data. 【0626】 "Means for integrated management of product placement information at transportation hubs" refers to a device or function for centrally managing the inventory status and placement information of each product at a logistics center or similar location. 【0627】 In this system, as a means of implementing the invention, the user first inputs instructions in natural language using a terminal. The terminal has the function of sending this natural language input to a server. The server analyzes the input using natural language processing software such as the Google Cloud NLP API and identifies the intent of the instructions. Once the analysis is complete, the server automatically generates a script for performing the necessary data processing using Google Apps Script or similar software. The generated script is sent to the terminal and executed there using software such as a spreadsheet. 【0628】 On the terminal, the generated script processes information, for example, by sorting or filtering data in a Google Spreadsheet. Once processing is complete, the terminal has the functionality to display the results to the user. As a specific example, in inventory management at a logistics center, if a user inputs an instruction such as "Summarize this week's incoming data by category and display it in reverse chronological order," the system can understand this instruction, analyze the outgoing data, and display the results. 【0629】 As an example of a prompt, a user could enter: "Please aggregate this week's shipping data by product and display it in descending order of shipping volume." In this way, even users without specialized knowledge can quickly obtain the information they need. 【0630】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0631】 Step 1: 【0632】 The user inputs instructions in natural language using a terminal. These instructions relate to product data management at a logistics center. The entered prompts describe the data manipulation requirements in natural language. 【0633】 Step 2: 【0634】 The terminal sends the input natural language instruction to the server. The server receives the instruction and passes the input to a natural language processing module. Based on the input, analysis is performed to identify the purpose and conditions of the instruction. The data processing performed here is the interpretation of the intent of the instruction. 【0635】 Step 3: 【0636】 The server automatically generates Google Apps Script code based on the analysis results. The generated script defines how to manipulate the data. This process provides specific data calculation instructions in the form of code. 【0637】 Step 4: 【0638】 The generated script is sent to the terminal. The terminal receives this script and executes it on the database system. As a result of the data manipulation, information that meets the user's request is processed. During script execution, specified calculations and sorting are performed, and output is obtained. 【0639】 Step 5: 【0640】 The terminal displays the processing results to the user. The user can ultimately receive the information necessary for logistics management in a visualized form. The output information is data processed based on the prompt message. 【0641】 Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions. 【0642】 This invention is implemented as a system that efficiently analyzes user input in natural language and automates data manipulation. In addition, it aims to provide responses tailored to the user's mentality by incorporating an emotion engine for recognizing user emotions. 【0643】 The user inputs a message using natural language on their device, for example, "Please display recent sales data by date in a positive and easy-to-understand way." The device sends this input to the server. The server first analyzes the content and intent of the instruction using a natural language processing module, and then uses an emotion engine to recognize the emotions contained in the user's natural language input. For example, it might analyze that the user wants to perform the operation with positive emotions. 【0644】 Based on the analysis results, the server automatically generates an appropriate Google Apps Script (GAS) using template code. This process includes adjusting the output format and data manipulation to incorporate the analyzed sentiment information. The terminal receives the generated script and prepares to execute it. 【0645】 The device executes the generated script on the spreadsheet, sorting the data according to the user's intentions. Once sorting and filtering are complete, the device displays the results to the user in a format that reflects the emotion engine's recognition. For example, it might use soft color tones in graphs to correspond to positive emotions. 【0646】 As a concrete example of this system, if a user instructs, "I want to see recent increases and decreases in sales to feel at ease," the system analyzes this and generates a script that visually highlights the increase / decrease data in positive colors for easier understanding. In this way, it becomes possible to present data in a way that responds to the user's emotions, further improving the user experience. 【0647】 The following describes the processing flow. 【0648】 Step 1: 【0649】 The user enters instructions in natural language through their device. For example, they might enter, "Please display recent sales data positively for each day." 【0650】 Step 2: 【0651】 The terminal sends the user's natural language input to the server. The server receives this input and first initializes the natural language processing module. 【0652】 Step 3: 【0653】 The server uses a natural language processing module to analyze the user's instructions. Based on the analysis, it identifies the operation the instruction describes and understands the type of data manipulation the user is requesting (in this case, "display by date") and its emotional intent ("positively"). 【0654】 Step 4: 【0655】 The server uses an emotion engine to recognize the emotions embedded in the user's input. This step identifies what emotions the user is feeling when requesting the results. 【0656】 Step 5: 【0657】 The server automatically generates a script using a Google Apps Script (GAS) template based on the analysis results and recognized emotion information. Here, colors and formats that match positive emotions are selected. 【0658】 Step 6: 【0659】 The generated script is sent to the terminal. The terminal receives this script and prepares to execute it on the spreadsheet. 【0660】 Step 7: 【0661】 The device executes scripts on a spreadsheet to manipulate data. Specifically, sales data is organized by date and displayed with positive colors and highlighting. 【0662】 Step 8: 【0663】 The device displays the results of data manipulation to the user. The results display is designed to reflect perceived emotions and improve satisfaction with the operation. 【0664】 (Example 2) 【0665】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0666】 Conventional systems have a problem in that they cannot effectively analyze natural language input from users and perform data manipulation and output based on the user's intent and emotions. Furthermore, if data is presented without considering emotions, the user experience and understanding may decline. There is a need to solve these problems. 【0667】 The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0668】 In this invention, the server includes means for acquiring information in natural language, means for analyzing the natural language information and identifying the control intent, and means for recognizing the user's emotions. This enables information processing based on the user's natural language input, and further enables adjustment of the output format according to the user's emotions. 【0669】 "Natural language" refers to the forms of language that humans use on a daily basis, and which are intended to be directly interpreted by computer systems. 【0670】 "Means of acquiring information" refers to the functions and methods by which a system receives data and instructions from external sources. 【0671】 "Analysis tools" refer to functions and methods for interpreting and understanding received information and data, and for identifying intent. 【0672】 "Means for identifying the intent of control" refer to functions or methods for determining the purpose of the processing or operation requested by the user from the input data or instructions. 【0673】 "Means for automatically generating programs" refers to functions or methods that automatically create code to implement necessary commands and operations based on analysis results. 【0674】 "Means for information processing" refers to functions and methods for organizing, manipulating, and analyzing data using generated programs. 【0675】 "Output methods" refer to functions or methods for displaying processing results and analysis information to the user. 【0676】 "Means of analysis for recognizing emotions" refer to functions and methods for determining the type and tendency of emotions included in user input. 【0677】 "Means for adjusting the output format" refers to functions or methods for changing the style and format of the results displayed based on the perceived emotions. 【0678】 "Using template code" is a method of creating programs that meet specific requirements based on pre-prepared, general-purpose code. 【0679】 A description of embodiments for carrying out the present invention will be provided. 【0680】 This system is an automated system that recognizes the user's intentions and emotions based on information entered by the user in natural language through a terminal, and performs appropriate data processing. The terminal receives the user's input and sends it to the server via the internet. An example of a prompt message the user might give is, "Please display the recent sales data by date in a positive and easy-to-read format." 【0681】 The server uses advanced natural language processing techniques to analyze the input information. Specifically, it interprets user instructions using a natural language processing engine and generative AI models to identify the user's intent for data manipulation. Furthermore, it uses a sentiment analysis engine to identify the emotions contained in the user's input and adjusts the output format based on those emotions. In this process, the server dynamically and automatically generates Google Apps Script and other templates. 【0682】 The generated script is sent to the device and executed by an application on the device (e.g., spreadsheet software). This execution sorts the sales data according to the user's intentions and uses a visual layout that matches a specific emotion. For example, if the user desires positive emotions, the data will be displayed in a graph with soft colors. 【0683】 For example, if a user instructs, "I want to see recent increases and decreases in sales to feel at ease," the system interprets this input and generates a script that visually highlights the increase / decrease data in a clear and positive way. In this way, the present invention enables users to intuitively and efficiently review data in accordance with their desired emotional state. 【0684】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0685】 Step 1: 【0686】 The user enters a natural language prompt through the terminal. This input might be in the format of, for example, "Please display recent sales data by date in a positive and easy-to-read format." The entered prompt is sent to the server by the terminal. At this point, the input is the user's natural language text, and the output is data sent to the server. 【0687】 Step 2: 【0688】 The server analyzes the received prompt using a natural language processing engine. In this analysis, the server uses a generative AI model to identify the instruction and the intent behind the operation. This process involves syntactic analysis of the input natural language text, keyword extraction, and intent classification. The output identifies the user's specific requests and the purpose of the data processing. 【0689】 Step 3: 【0690】 The server uses an emotion analysis engine to recognize the user's emotions from the input prompt. The server determines the emotional state (positive, negative, neutral, etc.) from the words and expressions contained in the text. The input for this step is the analyzed prompt, and the output is the identified emotion information. 【0691】 Step 4: 【0692】 Based on the analysis results, the server automatically generates a Google Apps Script using template code. Here, the server constructs a script that reflects the identified intent and sentiment information, enabling flexible data processing. The input to this process is the analyzed intent and sentiment, and the output is the generated script code. 【0693】 Step 5: 【0694】 The generated script is sent from the server to the terminal. The terminal receives the script and prepares it for execution on the spreadsheet software. The input to this step is the script sent from the server, and the output is the terminal's preparation for script execution. 【0695】 Step 6: 【0696】 The device executes the received script on the spreadsheet. This execution sorts the data according to the user's intent and visualizes it with emotionally appropriate color tones. The input for this step is the script code to be executed, and the output is a formatted display of the data. 【0697】 Step 7: 【0698】 Finally, the terminal displays the processing results to the user. Here, the output format is tailored to the emotional information, for example, a graph with soft colors might be displayed. The input for this step is formatted data, and the output is a display of visualized data. 【0699】 (Application Example 2) 【0700】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal". 【0701】 In modern information systems, it is crucial for users to provide instructions in natural language and to manipulate data efficiently. However, traditional methods have struggled to recognize user emotions and appropriately adjust the data output format accordingly. As a result, there are challenges such as a limited user experience and reduced efficiency in data understanding. 【0702】 The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. 【0703】 In this invention, the server includes means for acquiring natural language input, means for analyzing the natural language input and identifying the intent of the instruction and the user's emotions, and means for dynamically and automatically generating a script based on the analysis results. This makes it possible to customize data manipulation and visual representation according to the user's emotions and intentions, thereby enhancing the user's understanding of the data. 【0704】 "Natural language input" refers to the act of giving instructions to a computer system using the language that a user uses in everyday life. 【0705】 "Analysis" refers to the process of identifying the intent behind instructions and the user's emotions from the acquired natural language input. 【0706】 A "script" is a set of code generated to automate data manipulation. 【0707】 "Data manipulation" refers to the process of organizing, transforming, and displaying information based on acquired instructions. 【0708】 "Visual representation" refers to a method of graphically displaying analysis results or data manipulation results in a way that aligns with the user's emotional response. 【0709】 "Emotion" refers to the user's emotional state and its changes, and is an element that customizes the system's response based on that. 【0710】 This system analyzes user input in natural language along with emotional information, dynamically generates scripts based on the analysis results, and visually represents the data. This is achieved through the coordinated operation of a server and a terminal. 【0711】 The server first receives natural language text input from the user's terminal. This text input expresses the user's intended data manipulation or visual representation. The server uses a natural language processing module to analyze the intent of this input. During this process, an emotion engine operates to recognize the user's emotions and adjust the way information is delivered accordingly. 【0712】 Based on the analysis results, the server dynamically generates a Google Apps Script using template code to fulfill the user's instructions. This script is designed to manipulate data and provide visual representations that align with the user's emotions. For example, if the user instructs to "review recent spending with peace of mind," the data will be sorted, and a positive color scheme will be applied. 【0713】 The generated script is executed on the user's device. Through the executed script, the device sorts, filters, and displays data graphically in an emotionally resonant way, according to the user's intentions. This process allows for a deeper understanding of the user's data and enables the provision of a more positive experience. 【0714】 A concrete example of a prompt message is, "Please display recent transaction data in a way that is easy to understand and reassuring." In this example, the color scheme and layout of the data are adjusted according to the user's mood. 【0715】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0716】 Step 1: 【0717】 The user inputs instructions in natural language into the terminal. The terminal sends these instructions to the server as string data. The input instructions convey how the user wants to manipulate the data and their emotions during that process. 【0718】 Step 2: 【0719】 The server passes the received natural language input to a natural language processing module, which analyzes the intent of the instructions and the associated emotions. The data processing performed here involves semantically deciphering the input string and identifying the data manipulation format and emotion sequence. The analysis results include the user's desired data display style, filter conditions, and emotion-based color scheme. 【0720】 Step 3: 【0721】 The server dynamically generates Google Apps Script from a template based on the analysis results. During this script generation process, code is retrieved from the database and customized to embody the user's instructions and emotions. The generated script includes instructions for sorting and filtering data, as well as for performing emotion-based visual representations. 【0722】 Step 4: 【0723】 The server sends the generated script to the terminal. The terminal receives this script and prepares it in a locally executable format. This involves assigning the received data to the appropriate application on the terminal. 【0724】 Step 5: 【0725】 The device executes the received script to manipulate the data. Specifically, the script sorts and filters the data and visualizes the information using emotion-responsive color tones and graphic elements. The output of this process is a visually enhanced data display that aligns with the user's emotions and intentions. 【0726】 The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data. 【0727】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0728】 In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414. 【0729】 Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion. 【0730】 Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together. 【0731】 These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression. 【0732】 The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become. 【0733】 Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant. 【0734】 The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more." 【0735】 The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values. 【0736】 The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format. 【0737】 In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data. 【0738】 In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56. 【0739】 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. 【0740】 Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56. 【0741】 The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory. 【0742】 The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor. 【0743】 Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources. 【0744】 Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose. 【0745】 The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above. 【0746】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference. 【0747】 The following is further disclosed regarding the embodiments described above. 【0748】 (Claim 1) 【0749】 A means of obtaining natural language input, 【0750】 A means for analyzing the aforementioned natural language input and identifying the intent of the instruction, 【0751】 A means for automatically generating a script based on the aforementioned analysis results, 【0752】 A means for executing the aforementioned script and performing data manipulation, 【0753】 Means for outputting the results of the aforementioned data manipulation, 【0754】 A system that includes this. 【0755】 (Claim 2) 【0756】 The system according to claim 1, which includes means for applying specific filter conditions based on the analysis results. 【0757】 (Claim 3) 【0758】 The system according to claim 1, which includes means for dynamically customizing the script using template code when generating the script. 【0759】 "Example 1" 【0760】 (Claim 1) 【0761】 A means of obtaining output information in natural language, 【0762】 A means for analyzing the aforementioned natural language and identifying the intent of the instruction, 【0763】 A means for automatically generating a program based on the aforementioned analysis results, 【0764】 Means for executing the aforementioned program and performing information processing, 【0765】 Means for presenting the results of the aforementioned information processing, 【0766】 A system that includes this. 【0767】 (Claim 2) 【0768】 The system according to claim 1, which includes means for applying specific conditions based on the analysis results. 【0769】 (Claim 3) 【0770】 The system according to claim 1, which includes means for dynamically customizing the program using template code when generating the program. 【0771】 "Application Example 1" 【0772】 (Claim 1) 【0773】 A means of obtaining natural language input, 【0774】 A means for analyzing the aforementioned natural language input and identifying the intent of the instruction, 【0775】 A means for automatically generating a script based on the aforementioned analysis results, 【0776】 Means for executing the script and processing information, 【0777】 Means for outputting the results of the information processing, 【0778】 A means for centrally managing product placement information at transportation hubs, 【0779】 A system that includes this. 【0780】 (Claim 2) 【0781】 The system according to claim 1, which includes means for applying specific extraction conditions based on the analysis results. 【0782】 (Claim 3) 【0783】 The system according to claim 1, which includes means for dynamically adapting the script using template code when generating the script. 【0784】 "Example 2 of combining an emotion engine" 【0785】 (Claim 1) 【0786】 Means for obtaining information in natural language, 【0787】 A means for analyzing the aforementioned natural language information and identifying the intent of the control, 【0788】 A means for automatically generating a program based on the aforementioned analysis results, 【0789】 Means for executing the aforementioned program and performing information processing, 【0790】 Means for outputting the results of the information processing, 【0791】 An analytical method for recognizing user emotions, 【0792】 Means for adjusting the output format based on the analysis results, 【0793】 A system that includes this. 【0794】 (Claim 2) 【0795】 The system according to claim 1, which includes means for applying specific filter conditions based on the analysis results. 【0796】 (Claim 3) 【0797】 The system according to claim 1, which includes means for dynamically customizing the program using template code when generating the program. 【0798】 "Application example 2 when combining with an emotional engine" 【0799】 (Claim 1) 【0800】 A means of obtaining natural language input, 【0801】 A means for analyzing the aforementioned natural language input and identifying the intent of the instruction and the user's emotions, 【0802】 A means for dynamically and automatically generating a script based on the aforementioned analysis results, 【0803】 A means for executing the aforementioned script, manipulating data, and outputting the results in an emotionally appropriate visual representation, 【0804】 A system that includes this. 【0805】 (Claim 2) 【0806】 The system according to claim 1, comprising means for applying specific filter conditions based on the analysis results and providing visual emphasis that corresponds to the user's emotions. 【0807】 (Claim 3) 【0808】 The system according to claim 1, which includes means for dynamically customizing the script using template code during script generation and generating an output format that incorporates the user's emotional information. [Explanation of symbols] 【0809】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A means of obtaining natural language input, A means for analyzing the aforementioned natural language input and identifying the intent of the instruction, A means for automatically generating a script based on the aforementioned analysis results, A means for executing the aforementioned script and performing data manipulation, Means for outputting the results of the aforementioned data manipulation, A system that includes this. [Claim 2] The system according to claim 1, which includes means for applying specific filter conditions based on the analysis results. [Claim 3] The system according to claim 1, which includes means for dynamically customizing the script using template code when generating the script.

Images