system

Abstract

We provide the system. [Solution] A method for inputting the user's current location and schedule information to suggest the most suitable work facility, A means of obtaining facility availability and equipment information, A means for collecting and analyzing real-time travel path information to calculate the optimal path, A means of interacting with the user through natural language processing, A means of visually displaying facility information using augmented reality or virtual reality, A method for predicting the optimal facility based on past usage history and productivity data, A system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor 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 as a response 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】 In modern work styles, it is required to combine office work, telecommuting, and satellite office work according to the characteristics of the work, and it is important to effectively utilize the interstitial time including travel time. However, in conventional systems, it has been difficult to select an appropriate business facility while adapting to changes in traffic and weather in real time. In addition, it has been insufficient to recommend an optimal candidate from the viewpoints of past usage history and productivity improvement. The purpose of this invention is to solve these problems. 【Means for Solving the Problems】 【0005】 To address this challenge, the present invention provides a system that proposes the most suitable work facility based on the user's current location and schedule information. This system acquires facility availability and equipment information in real time and calculates the optimal travel route considering traffic and weather information. It also incorporates a dialogue function using natural language processing and displays facility information visually using augmented reality or virtual reality, allowing users to intuitively select a facility. Furthermore, it includes means to predict the most suitable facility for each user by analyzing past usage history and productivity data. 【0006】 A "user" refers to an individual or organization that uses the system to improve the efficiency of their work. 【0007】 "Current location information" refers to the geographical location information that the user provides to the system at the present time. 【0008】 "Schedule information" refers to information about the user's upcoming schedule and appointments. 【0009】 "Business facilities" refer to places or buildings that users use to carry out their work. 【0010】 "Suggestion" refers to the act of a system presenting the user with the optimal option. 【0011】 "Availability" refers to the current status of usable space and equipment within the business facility. 【0012】 "Equipment information" refers to information about the equipment and services provided at a business facility. 【0013】 "Real-time" refers to a state where information is processed or used as soon as it is generated. 【0014】 "Travel route" refers to the path a user takes from their current location to their planned destination. 【0015】 "Traffic information" refers to information regarding traffic congestion on roads, the operating status of public transportation, etc. 【0016】 "Weather information" refers to information regarding weather such as temperature, rainfall, wind speed, etc. 【0017】 "Natural language processing" refers to technology for enabling computers to understand and process human language. 【0018】 "Dialogue function" refers to a function for enabling the system to communicate with users. 【0019】 "Augmented reality" refers to technology for overlaying digital information on the real environment for display. 【0020】 "Virtual reality" refers to technology for experiencing an artificial environment generated by a computer. 【0021】 "Visually display" means providing information in a form that can be visually confirmed by the user. 【0022】 "Usage history" refers to records of a user's past use of business facilities. 【0023】 "Productivity data" refers to numerical values and information regarding the efficiency and results of business operations. 【0024】 "Analysis" refers to the act of analyzing data to extract meaningful information. 【0025】 "Prediction" refers to estimating future results based on existing data and trends. 【Brief Description of Drawings】 【0026】 [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 apparatus and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0027】 Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings. 【0028】 First, let's explain the terminology used in the following explanation. 【0029】 In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single 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), and APU (Accelerated Processing Unit). 【0030】 In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor. 【0031】 In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes. 【0032】 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). 【0033】 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." 【0034】 [First Embodiment] 【0035】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0036】 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. 【0037】 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). 【0038】 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. 【0039】 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. 【0040】 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. 【0041】 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. 【0042】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0043】 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. 【0044】 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. 【0045】 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. 【0046】 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". 【0047】 This invention is designed as a system for users to efficiently select the most suitable work facility. This system achieves its functionality through communication between the user terminal and the server via the internet. 【0048】 Server Role 【0049】 The server first generates suggestions for work facilities based on the user's current location and schedule information. Specifically, the server obtains real-time traffic and weather information, as well as facility availability and equipment information, from external data sources. It integrates this information and runs an algorithm to identify the work facility best suited to the user's conditions. The server also accumulates and analyzes the user's past usage history and productivity data to predict the facility best suited to each individual user. This predictive information is reflected in the suggestions. 【0050】 Terminal role 【0051】 The terminal has the capability to accept natural language input through its user interface. When a user enters a question into the terminal, the data is sent to the server. Upon receiving a response from the server, the terminal presents the user with a list of suggested work facilities. This display includes means of visually confirming the current status and equipment information of the work facilities using augmented reality (AR) and virtual reality (VR) technologies. Based on this information, the terminal enables the user to quickly select the most suitable work facility. 【0052】 User actions 【0053】 Users input their current location and schedule information, and specify the type and conditions of work facilities they are interested in. This allows the system to make suggestions tailored to the user's needs. For example, if a user inputs "I have 30 minutes of free time before my next visit," the system will suggest the most suitable work facilities based on that information, providing the user with an environment where they can work efficiently even in a short amount of time. 【0054】 This system is designed to reduce the time loss and inconvenience associated with traditional facility selection, allowing users to make effective use of their limited time. Users can visually review the details of proposed facilities and make quick, intuitive selections, contributing to improved work efficiency. 【0055】 The following describes the processing flow. 【0056】 Step 1: 【0057】 The user enters their current location and planned visits via their device. The device then sends this information to the server. 【0058】 Step 2: 【0059】 The server calls external APIs to obtain real-time traffic and weather information. It also retrieves the availability and equipment information of each facility from the system APIs of the business facilities. 【0060】 Step 3: 【0061】 The server reads the user's past usage history and productivity data from a database, analyzes it using a machine learning model, and predicts the most suitable work facilities for the user. 【0062】 Step 4: 【0063】 The server considers traffic information and weather conditions to calculate the optimal travel route based on the user's planned visits. Based on this, it creates a list of recommended business facilities. 【0064】 Step 5: 【0065】 The server sends a list of recommended work facilities to the terminal. 【0066】 Step 6: 【0067】 The terminal visually displays a list of received business facilities to the user. Furthermore, it uses augmented reality or virtual reality to show the user the availability and equipment of each facility. 【0068】 Step 7: 【0069】 The user selects the most suitable work facility based on the information provided. The terminal sends the user's selection to the server and makes a reservation for the facility if necessary. 【0070】 (Example 1) 【0071】 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." 【0072】 Conventional business facility selection systems are time-consuming for users to choose the optimal facility, and they fail to effectively utilize the available information. Furthermore, the suggested facilities are not properly customized to the individual needs of users, resulting in a failure to maximize operational efficiency. 【0073】 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. 【0074】 In this invention, the server includes means for inputting the user's current location and schedule information and suggesting the optimal work facility; means for acquiring facility availability and equipment information; means for collecting and analyzing real-time travel route information to calculate the optimal route; means for interacting with the user through natural language processing; means for visually displaying facility information using augmented reality or virtual reality; means for predicting the optimal facility based on past usage history and productivity data; and means for sending natural language input from the user as prompt sentences to a generating AI model to identify work facilities that meet the conditions. This enables the user to quickly and efficiently select a work facility that suits their individual needs. 【0075】 "User's current location information" refers to data indicating the user's geographical location, and is usually obtained using location information technologies such as GPS. 【0076】 "Schedule information" refers to data related to a user's upcoming plans and schedules, including detailed information about the user's activities. 【0077】 "Means of proposing the optimal business facility" refers to functions and processes that provide users with the most appropriate business facility options at that time, based on the information they input. 【0078】 "Means for obtaining facility availability and equipment information" refers to methods for obtaining data on the available hours and current occupancy status of business facilities, as well as various equipment provided within the facilities. 【0079】 "Means for collecting and analyzing real-time travel route information to calculate the optimal route" refers to a system that collects and analyzes real-time travel route information and calculates the shortest or most optimal route to the user's destination. 【0080】 "Means of interacting with users through natural language processing" refers to technologies that enable users to communicate with systems using normal spoken language, and are means of understanding user intent and providing necessary information. 【0081】 "Means of visually displaying facility information using augmented reality or virtual reality" refers to a system that uses AR (augmented reality) or VR (virtual reality) technology to display information about business facilities to users in an intuitive and easy-to-understand manner. 【0082】 "A method for predicting the optimal facility based on past usage history and productivity data" refers to a method of analyzing data on facilities that users have used in the past and data on productivity during those uses, in order to propose the most suitable business facility for the future. 【0083】 A "generative AI model" is an artificial intelligence model that performs calculations and inferences based on natural language input received from a user to propose the optimal solution. 【0084】 A "prompt" is a sentence containing instructions or questions that is input into a generative AI model, serving as a guide for the AI ​​to create appropriate responses and suggestions. 【0085】 The system according to the present invention is designed to enable users to efficiently select the most suitable work facility. For this system to work, the server and the user's terminal must communicate via the internet. The server generates a suggestion for the most suitable work facility based on the user's current location and schedule information. 【0086】 The server utilizes a high-performance computing server as its specific hardware and leverages algorithms that implement generative AI models as its software. This server acquires real-time traffic information, weather information, and facility availability and equipment information from external data sources. It processes this information integrally and performs calculations to identify the facility that best matches the user's input conditions. Furthermore, the server has the ability to accumulate historical usage history and productivity data, and uses machine learning techniques to predict the optimal facility for each individual user. 【0087】 The terminal has the ability to accept natural language input through its user interface, and this input is sent to the server as a prompt. For example, a specific need such as, "I have 30 minutes to kill before my next appointment, so please find me a quiet cafe with Wi-Fi," might be entered. 【0088】 The terminal receives a response from the server and presents the user with a list of the most suitable work facilities. Augmented reality (AR) and virtual reality (VR) technologies are used in this presentation, allowing users to visually check the internal environment and equipment of each facility. Based on this information, users can quickly select the most suitable work facility and efficiently carry out their tasks according to their schedule. 【0089】 By using this system, users can reduce the time lost in the traditional process of selecting work facilities and obtain a more fulfilling work environment in a shorter amount of time. 【0090】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0091】 Step 1: 【0092】 The terminal receives natural language input from the user. Specifically, the user enters their current location, schedule information, and the type and conditions of the desired work facility. This input data is formatted as a prompt message and prepared for transmission to the server. 【0093】 Step 2: 【0094】 The terminal sends a formatted prompt message to the server. Upon receiving this input, the server uses a generative AI model to analyze the user's needs and execute the corresponding algorithm. At this stage, the server prepares to collect relevant information from external data sources based on the user's conditions. 【0095】 Step 3: 【0096】 Based on the acquired user's current location and condition information, the server accesses external data sources to obtain real-time traffic information, weather information, facility availability, and equipment information. In this information acquisition process, the server uses communication protocols such as REST APIs to gather the necessary information. 【0097】 Step 4: 【0098】 The server processes the collected information in an integrated manner. Here, various types of collected information are used as input data for an AI model, and calculations are performed to select the most suitable business facility for the user's needs. Specifically, traffic conditions and facility availability are evaluated, and the most suitable destinations for the user are ranked and listed. 【0099】 Step 5: 【0100】 The server uses an AI model to analyze past usage history and productivity data to provide customized facility predictions for each user. By analyzing past data, it adds recommended facilities that take user behavior patterns into account to the list, completing the final recommendations. 【0101】 Step 6: 【0102】 The server sends the final proposal to the terminal. The terminal verifies the received proposal and presents it to the user visually using AR or VR. The display includes detailed information about each facility collected and provides an easy-to-use interface for the user to select from. 【0103】 Step 7: 【0104】 The user reviews the presented list of facilities and selects the desired facility. The selected information is saved on the device and fed back to the server as needed. This feedback helps improve the accuracy of future suggestions. 【0105】 (Application Example 1) 【0106】 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." 【0107】 In modern society, selecting the optimal work environment for each situation is crucial for users to perform their tasks efficiently. However, manually searching and comparing various information to choose a work environment is time-consuming and laborious. This is particularly burdensome when finding a suitable workspace while on the go or checking its availability. Furthermore, typical information displays make it difficult to visually assess the actual work environment, requiring users to rely on their intuition. These challenges can ultimately lead to a decrease in user productivity. 【0108】 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. 【0109】 This invention includes a server that inputs the user's current location and schedule information and proposes an optimal work area, a means for acquiring facility availability and equipment information, and a means for receiving instructions via an input device held by the user and dynamically updating the work area proposal in real time. As a result, the user can acquire the necessary information in one place and efficiently and quickly select the optimal work environment. In addition, by providing visual information, the user can make realistic decisions and improve work efficiency. 【0110】 "User's current location information" refers to data indicating the user's current geographical location, which is obtained through the device's location services. 【0111】 "Schedule information" refers to the user's schedule and future activity plans, and is important data for the system to make optimal suggestions. 【0112】 The "optimal workspace" refers to the workspace that best suits the user's needs, taking into account equipment, availability, environment, and accessibility. 【0113】 "Facility availability" refers to information indicating the usability of specific workspaces, meeting rooms, etc., and serves as an indicator for users when selecting a location. 【0114】 "Equipment information" refers to information about the devices and infrastructure placed in the work environment, and is used to determine whether the user can utilize the necessary functions. 【0115】 "User input devices" refers to devices or means used by users to input information, and includes smartphones, tablets, and other similar devices. 【0116】 "A means of receiving instructions and dynamically updating work area proposals in real time" refers to a process that receives input from users and immediately revises the proposal content based on new information. 【0117】 "Providing visual information" refers to methods of providing users with details of their work environment and space in a way that allows them to visually assess them, and includes the use of augmented reality and virtual reality technologies. 【0118】 The system that implements this application has the following configuration: The server receives location and schedule information entered by the user and proposes the optimal work area based on this information. The server retrieves facility availability and equipment information from an external database and also collects real-time updated travel route information. In addition, the server utilizes a generative AI model to analyze past user data and productivity data to predict the optimal work area for the user. This allows users to choose a more efficient work environment. 【0119】 The user's device is a smartphone or tablet that accepts natural language input through its user interface. When the user accesses the device and gives instructions, that information is sent to the server. Based on the received information, the server generates a list of optimal workspaces and sends it to the device. The device then visually presents this list using augmented reality (AR) or virtual reality (VR) technology, allowing the user to intuitively check the workspace. 【0120】 For example, if a user asks the terminal, "I want to prepare before my next meeting, but which cafes are open?", the system will search for nearby cafes and present the user with the best option, taking into account availability and facilities. An example of a prompt in this case might be, "Please tell me which cafes I can work at while I'm on my way to my next destination. Please also consider the weather and traffic conditions to suggest the best location." 【0121】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0122】 Step 1: 【0123】 The user uses their device to enter their current location and planned activities. This information is then sent from the device to the server. In this step, the user's specific geographical location and activity plan are collected as data. 【0124】 Step 2: 【0125】 Based on the received location and schedule information, the server retrieves facility availability and equipment information from an external data source. This involves querying a database of business facilities. The server then receives accurate availability and equipment information from the database. 【0126】 Step 3: 【0127】 The server then uses a generative AI model to analyze past usage history and productivity data. This analysis predicts the optimal workspace for each individual user. The output at this stage is a list of candidate workspaces best suited to the user. 【0128】 Step 4: 【0129】 The server collects real-time weather and traffic information and calculates the optimal travel route, taking this information into consideration. Weather and traffic data are provided as input, and efficient travel route information is output. This process aims to minimize the time users spend traveling. 【0130】 Step 5: 【0131】 The server integrates predictive data provided by the generative AI model with real-time environmental data to generate a final work area proposal. This proposal is then organized into multiple options to help the user work efficiently. 【0132】 Step 6: 【0133】 The terminal visually presents the suggested workspaces received from the server to the user using augmented reality and virtual reality technologies. The output in this step appears in a format that the user can intuitively understand using AR and VR technologies. Based on the presented information, the user can select the most suitable workspace and begin working. 【0134】 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. 【0135】 This invention is a system that proposes the optimal work facility by taking into account the user's emotional state. This system connects the user terminal to a server and utilizes an emotion engine to recognize the user's current emotional state and provide personalized suggestions based on that state. 【0136】 Server Role 【0137】 The server receives data from the user, including their current location, schedule, and emotional state. Based on this information, the server generates suggestions for work facilities. In doing so, it obtains real-time traffic information, weather information, and facility availability and equipment information via external APIs. Based on this data, the server identifies the facility best suited to the user. It also analyzes past usage history and productivity data to run an algorithm that predicts the optimal work facility for each user. 【0138】 The emotion engine recognizes the user's emotional state and determines their stress level and current psychological condition. This information is used by the server to customize its recommendations. For example, a user experiencing high stress levels will be prioritized for facilities that provide a relaxing environment. 【0139】 Terminal role 【0140】 The terminal has the ability to accept natural language input and emotional state sensor input through a user interface. The terminal sends this data to a server and receives a suggestion of the most suitable work facilities as a result of the processing. The list of suggested facilities is presented to the user visually. In this process, augmented reality (AR) and virtual reality (VR) technologies are used to visually display the availability and equipment information of the work facilities in real time. 【0141】 Furthermore, using an emotion engine, the device can track the user's emotional state in real time and update its suggestions as needed. 【0142】 User actions 【0143】 Users enter their current location and schedule information as usual, and wear a device that measures their emotional state. This data is sent from the terminal to a server, and the entire system works together to generate optimal suggestions. For example, if the emotion engine detects that the user is "stressed," work facilities that provide a calm environment will be prioritized. 【0144】 This system allows users to select a more personalized work environment, contributing to improved work efficiency and reduced stress. Because users can quickly and accurately select facilities based on visual information, they can effectively utilize their limited time. 【0145】 The following describes the processing flow. 【0146】 Step 1: 【0147】 The user enters their current location and planned visits into their device. They also use a device to measure their emotional state, and this data is also received by the device. 【0148】 Step 2: 【0149】 The device sends acquired current location information, schedule information, and emotional state data to the server. 【0150】 Step 3: 【0151】 The server uses external APIs to obtain real-time traffic and weather information. It also obtains facility availability and equipment information for each facility through the facility's system APIs. 【0152】 Step 4: 【0153】 The server analyzes the received emotional state data using an emotion engine to evaluate the user's stress level and psychological state. Based on this information, the priority of facilities is determined. 【0154】 Step 5: 【0155】 The server analyzes the user's past usage history and productivity data, and uses machine learning models to predict the optimal work facility. 【0156】 Step 6: 【0157】 The server comprehensively analyzes traffic information, weather information, sentiment data, and past performance to create a list of recommended work facilities. If stress levels are high, facilities with a relaxing environment will be prioritized. 【0158】 Step 7: 【0159】 The server sends a list of proposed business facilities to the terminal. 【0160】 Step 8: 【0161】 The terminal visually displays a list of received work facilities to the user. Augmented reality (AR) and virtual reality (VR) technologies are used to visualize facility availability and equipment in real time. 【0162】 Step 9: 【0163】 The user selects the most suitable work facility based on the information provided. The terminal sends the user's final selection to the server and makes a reservation for the facility if necessary. 【0164】 Step 10: 【0165】 The device continuously monitors the user's emotional state and updates its suggestions as needed. This ensures that the service is continuously tailored to the user's condition. 【0166】 (Example 2) 【0167】 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." 【0168】 In today's work environment, various factors influence work efficiency and stress levels. However, conventional systems have difficulty selecting work facilities that take into account the user's psychological state and real-time external conditions, leading to decreased work efficiency and increased stress. Therefore, there is a need for more personalized work facility proposals that comprehensively consider the user's emotional state and external conditions. 【0169】 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. 【0170】 In this invention, the server includes means for inputting the user's current location information and schedule information and measuring their emotional state; means for suggesting the most suitable work facility based on the user's emotional state using a generative AI model; and means for acquiring facility availability and equipment information from external sources. This enables the user to select a more appropriate work facility based on their own psychological state and real-time conditions. 【0171】 "User's current location information" refers to geographical data used to identify where the user is currently located. 【0172】 "Planned information" refers to information about the user's future plans and schedules. 【0173】 "Emotional state" refers to data that indicates the user's psychological state and emotional level. 【0174】 A "generative AI model" is a model that uses artificial intelligence technology to analyze data and generate output tailored to a specific purpose. 【0175】 A "business facility" refers to a building or space that a user can use to conduct business. 【0176】 "External information sources" refer to external data provision services or APIs that allow a system to obtain necessary data in real time. 【0177】 "Movement information" refers to data about the route and means of transportation used by a user to reach their designated destination. 【0178】 "Weather information" refers to data about predicted weather and current weather conditions. 【0179】 "Natural language processing" is the technology that enables computers to understand, generate, and manipulate human language. 【0180】 Augmented reality is a technology that overlays digital information onto real-world visual information. 【0181】 "Virtual reality" is a technology that allows users to immerse themselves in a computer-generated environment. 【0182】 "Past usage history" refers to data related to the user's previous use of business facilities. 【0183】 "Productivity indicators" are metrics used to measure the efficiency and results of users' work. 【0184】 "Real-time monitoring" is the process of instantly checking the situation and status at any given moment through sensors and data analysis. 【0185】 This invention is a system that considers the user's emotional state and proposes the optimal work environment. The system mainly consists of three components: a server, a terminal, and the user. 【0186】 The server receives data from users, including their current location, schedule, and emotional state. This data is then used with a generative AI model to analyze the user's emotional state and identify the most suitable work facility. The server also obtains real-time facility availability, equipment information, traffic information, and weather information from external sources to perform comprehensive data analysis. 【0187】 The terminal receives input from the user and communicates data with the server. The terminal provides a user interface and understands user instructions using natural language processing. Furthermore, the terminal utilizes augmented reality (AR) and virtual reality (VR) technologies to visually display detailed information about proposed business facilities. This visualization allows users to effectively select facilities. 【0188】 Users input schedule and location information into their devices and utilize sensors to measure their emotional state. This allows users to receive suggestions for optimal work facilities tailored to their psychological state. For example, if a user enters "Please suggest a relaxing work environment" as a prompt, the system will suggest the most suitable facility considering their emotional state. 【0189】 This configuration allows users to efficiently select work facilities that best consider their individual emotional state and work efficiency. The system based on this invention provides a practical solution to improve users' quality of life. 【0190】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0191】 Step 1: 【0192】 The user inputs their current location and schedule information into the device and wears a device to measure their emotional state. This sends the user's prepared location and schedule information, along with emotional data from the sensor, to the device as input data. The device then formats this data and prepares it for transmission to the server. 【0193】 Step 2: 【0194】 The device transmits location information, schedule information, and emotional state data received from the user to the server. This serves as input to the server. The device converts the data into an appropriate format and securely transmits it to the server via encrypted communication. 【0195】 Step 3: 【0196】 The server receives input data from the terminal and communicates with external information sources (e.g., weather APIs and traffic APIs) to obtain real-time traffic and weather information, as well as information on the availability of business facilities. This external data is combined with the user's input data and prepared for processing by the generative AI model. The server uses this as input data to integrate the external information and perform analysis using the generative AI model. 【0197】 Step 4: 【0198】 The server uses a generative AI model to suggest the optimal work facility, taking into account the user's emotional state based on integrated data. Specifically, if the user's emotional state is stressful, the model optimizes to prioritize relaxing facilities. The output of the generative AI model is a list of preferred work facilities. 【0199】 Step 5: 【0200】 The server sends the generated list of proposed work facilities to the terminal. This becomes the output to the terminal. The terminal receives the proposed results, which reflect real-time information and the user's status. 【0201】 Step 6: 【0202】 The terminal visually presents the user with a list of suggestions sent from the server. Using AR and VR technologies, the terminal allows the user to intuitively understand detailed information about the facilities. The user reviews the suggested facilities and selects the most suitable one. The terminal then prepares to send information based on this user selection back to the server. 【0203】 This processing flow allows users to receive suggestions for work facilities that best reflect their emotional state and external conditions, enabling them to optimize their work environment. 【0204】 (Application Example 2) 【0205】 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". 【0206】 In today's work environment, selecting the optimal facility based on the user's emotional state and real-time circumstances is essential for improving work efficiency and reducing stress. However, conventional systems are unable to adequately consider these factors, making it difficult to provide fully personalized recommendations to users. 【0207】 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. 【0208】 In this invention, the server includes means for inputting the user's current location information, schedule information, and emotional state data to propose the optimal work facility; means for acquiring facility availability and equipment information; means for collecting and analyzing real-time travel route information to calculate the optimal route; means for interacting with the user using natural language processing and generating personalized responses based on the emotional state; and means for predicting the optimal facility based on past usage history, productivity data, and emotional state data. This makes it possible to select the optimal work facility and propose a route that matches the user's emotional state. 【0209】 "User's current location information" refers to data that indicates the user's geographical location and is used to understand the situation in real time. 【0210】 "Schedule information" refers to data about the user's future activities and schedule, and is used to make highly relevant suggestions. 【0211】 "Emotional state data" refers to information used to analyze a user's psychological and emotional state. 【0212】 "Facility availability" refers to information indicating whether a particular facility is available for use, and is used to improve the accuracy of suggestions. 【0213】 "Facility information" refers to detailed information about the functions and conveniences available within a facility, contributing to the selection of facilities that meet the user's needs. 【0214】 "Real-time travel route information" refers to dynamic information that shows the shortest or most optimal route to reach a destination specified by the user. 【0215】 "Natural language processing" is a technology that enables computers to understand human language and engage in dialogue. 【0216】 Augmented reality is a technology that overlays digital information onto the real world environment. 【0217】 "Virtual reality" is a technology that immerses users in a virtual space created by a computer. 【0218】 "Past usage history" refers to data about the user's past behavior and facility usage, which is useful for predicting future behavior. 【0219】 "Productivity data" refers to information related to a user's work efficiency and performance. 【0220】 The system for implementing this invention consists of a terminal used by the user and a server located in the cloud. 【0221】 The device acquires current location information, schedule information, and emotional state data from the user. It also has the ability to analyze the emotional state in real time through built-in sensors and the user's self-reporting form, and transmit this data to a server. This enables the selection of the optimal facility based on the user's immediate state. The user interface for various inputs in natural language is provided as an application that runs on smartphones and smartwatches. 【0222】 The server receives data sent by users and uses real-time APIs (such as Amazon Web Services) to collect facility availability, equipment information, weather, and traffic information. The collected data is analyzed using programs such as Python, and a generative AI model is applied to predict the optimal business facility based on the user's past usage history, productivity data, and emotional state data. 【0223】 Based on the analysis results received from the server, the terminal uses augmented reality and virtual reality technologies to visually display facility information. Users can then select the most suitable facility from this information. 【0224】 For example, if a user inputs the instruction "I'm looking for a place to relax," the server analyzes the information in real time and provides options that match their emotional state, such as a quiet park or a calming cafe. This allows users to easily find the environment they are looking for. 【0225】 An example of a prompt for a generative AI model is, "What kind of facility is suitable when a user wants to relax?" 【0226】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0227】 Step 1: 【0228】 Users input their current location, schedule, and emotional state data using their smartphones. Real-time emotional data is collected via sensors or self-report forms and transmitted from the device to a server. The input data serves as basic information for selecting the most suitable facility based on the user's emotional state. 【0229】 Step 2: 【0230】 The server receives current location and schedule information sent by the user. Simultaneously, it collects real-time facility availability, equipment information, weather information, and traffic information via an external API. This data is used as an analytical platform for selecting the most suitable facility. 【0231】 Step 3: 【0232】 The server combines all received data and uses a generative AI model to suggest facilities based on the user's emotional state, past usage history, and productivity data. Python and other languages ​​are used for data processing, and an algorithm is applied to predict the optimal work environment for the user based on emotional data and productivity indicators. 【0233】 Step 4: 【0234】 The server generates information on optimal facilities and sends it to the terminal, visualizing the best recommendations. The terminal then presents the received recommendation information to the user using augmented reality or virtual reality. This visualization allows users to intuitively understand the availability and details of the facilities offered. 【0235】 Step 5: 【0236】 Based on visualized information, users select the facility best suited to their emotional state. Based on their selection, they receive route guidance tailored to their subsequent plans. In this way, users can efficiently perform their tasks in an environment best suited to their needs. 【0237】 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. 【0238】 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. 【0239】 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. 【0240】 [Second Embodiment] 【0241】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0242】 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. 【0243】 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). 【0244】 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. 【0245】 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. 【0246】 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). 【0247】 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. 【0248】 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. 【0249】 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. 【0250】 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. 【0251】 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. 【0252】 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". 【0253】 This invention is designed as a system for users to efficiently select the most suitable work facility. This system achieves its functionality through communication between the user terminal and the server via the internet. 【0254】 Server Role 【0255】 The server first generates suggestions for work facilities based on the user's current location and schedule information. Specifically, the server obtains real-time traffic and weather information, as well as facility availability and equipment information, from external data sources. It integrates this information and runs an algorithm to identify the work facility best suited to the user's conditions. The server also accumulates and analyzes the user's past usage history and productivity data to predict the facility best suited to each individual user. This predictive information is reflected in the suggestions. 【0256】 Terminal role 【0257】 The terminal has the capability to accept natural language input through its user interface. When a user enters a question into the terminal, the data is sent to the server. Upon receiving a response from the server, the terminal presents the user with a list of suggested work facilities. This display includes means of visually confirming the current status and equipment information of the work facilities using augmented reality (AR) and virtual reality (VR) technologies. Based on this information, the terminal enables the user to quickly select the most suitable work facility. 【0258】 User actions 【0259】 Users input their current location and schedule information, and specify the type and conditions of work facilities they are interested in. This allows the system to make suggestions tailored to the user's needs. For example, if a user inputs "I have 30 minutes of free time before my next visit," the system will suggest the most suitable work facilities based on that information, providing the user with an environment where they can work efficiently even in a short amount of time. 【0260】 This system is designed to reduce the time loss and inconvenience associated with traditional facility selection, allowing users to make effective use of their limited time. Users can visually review the details of proposed facilities and make quick, intuitive selections, contributing to improved work efficiency. 【0261】 The following describes the processing flow. 【0262】 Step 1: 【0263】 The user enters their current location and planned visits via their device. The device then sends this information to the server. 【0264】 Step 2: 【0265】 The server calls external APIs to obtain real-time traffic and weather information. It also retrieves the availability and equipment information of each facility from the system APIs of the business facilities. 【0266】 Step 3: 【0267】 The server reads the user's past usage history and productivity data from a database, analyzes it using a machine learning model, and predicts the most suitable work facilities for the user. 【0268】 Step 4: 【0269】 The server considers traffic information and weather conditions to calculate the optimal travel route based on the user's planned visits. Based on this, it creates a list of recommended business facilities. 【0270】 Step 5: 【0271】 The server sends a list of recommended work facilities to the terminal. 【0272】 Step 6: 【0273】 The terminal visually displays a list of received business facilities to the user. Furthermore, it uses augmented reality or virtual reality to show the user the availability and equipment of each facility. 【0274】 Step 7: 【0275】 The user selects the most suitable work facility based on the information provided. The terminal sends the user's selection to the server and makes a reservation for the facility if necessary. 【0276】 (Example 1) 【0277】 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." 【0278】 Conventional business facility selection systems are time-consuming for users to choose the optimal facility, and they fail to effectively utilize the available information. Furthermore, the suggested facilities are not properly customized to the individual needs of users, resulting in a failure to maximize operational efficiency. 【0279】 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. 【0280】 In this invention, the server includes means for inputting the user's current location and schedule information and suggesting the optimal work facility; means for acquiring facility availability and equipment information; means for collecting and analyzing real-time travel route information to calculate the optimal route; means for interacting with the user through natural language processing; means for visually displaying facility information using augmented reality or virtual reality; means for predicting the optimal facility based on past usage history and productivity data; and means for sending natural language input from the user as prompt sentences to a generating AI model to identify work facilities that meet the conditions. This enables the user to quickly and efficiently select a work facility that suits their individual needs. 【0281】 "User's current location information" refers to data indicating the user's geographical location, and is usually obtained using location information technologies such as GPS. 【0282】 "Scheduled information" refers to data related to the user's future plans and schedules, and includes information containing details about the user's activities. 【0283】 "Means for proposing an optimal business facility" refers to a function or process for providing the user with options for the most appropriate business facility at that time based on the user's input information. 【0284】 "Means for obtaining facility availability and equipment information" refers to a method for obtaining data on the available hours, current occupancy status of a business facility, and various equipment provided within the facility. 【0285】 "Means for collecting and analyzing real-time movement route information to calculate an optimal route" refers to a mechanism that collects, analyzes real-time movement route information, and calculates the shortest or optimal route to the user's destination. 【0286】 "Means for interacting with the user through natural language processing" refers to a technology that enables the user to communicate with the system in ordinary spoken language, and is a means for understanding the user's intentions and providing necessary information. 【0287】 "Means for visually displaying facility information using augmented reality or virtual reality" refers to a mechanism that uses AR (augmented reality) or VR (virtual reality) technology to intuitively and clearly display information about business facilities to the user. 【0288】 "Means for predicting an optimal facility based on past usage history and productivity data" refers to a method for analyzing data on the facilities used by the user in the past and the productivity during that usage, and proposing an optimal business facility in the future. 【0289】 "Generative AI model" refers to an artificial intelligence model that performs calculations and inferences based on natural language input received from the user to propose an optimal solution. 【0290】 A "prompt" is a sentence containing instructions or questions that is input into a generative AI model, serving as a guide for the AI ​​to create appropriate responses and suggestions. 【0291】 The system according to the present invention is designed to enable users to efficiently select the most suitable work facility. For this system to work, the server and the user's terminal must communicate via the internet. The server generates a suggestion for the most suitable work facility based on the user's current location and schedule information. 【0292】 The server utilizes a high-performance computing server as its specific hardware and leverages algorithms that implement generative AI models as its software. This server acquires real-time traffic information, weather information, and facility availability and equipment information from external data sources. It processes this information integrally and performs calculations to identify the facility that best matches the user's input conditions. Furthermore, the server has the ability to accumulate historical usage history and productivity data, and uses machine learning techniques to predict the optimal facility for each individual user. 【0293】 The terminal has the ability to accept natural language input through its user interface, and this input is sent to the server as a prompt. For example, a specific need such as, "I have 30 minutes to kill before my next appointment, so please find me a quiet cafe with Wi-Fi," might be entered. 【0294】 The terminal receives a response from the server and presents the user with a list of the most suitable work facilities. Augmented reality (AR) and virtual reality (VR) technologies are used in this presentation, allowing users to visually check the internal environment and equipment of each facility. Based on this information, users can quickly select the most suitable work facility and efficiently carry out their tasks according to their schedule. 【0295】 By using this system, users can reduce the time lost in the traditional process of selecting work facilities and obtain a more fulfilling work environment in a shorter amount of time. 【0296】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0297】 Step 1: 【0298】 The terminal receives natural language input from the user. Specifically, the user enters their current location, schedule information, and the type and conditions of the desired work facility. This input data is formatted as a prompt message and prepared for transmission to the server. 【0299】 Step 2: 【0300】 The terminal sends a formatted prompt message to the server. Upon receiving this input, the server uses a generative AI model to analyze the user's needs and execute the corresponding algorithm. At this stage, the server prepares to collect relevant information from external data sources based on the user's conditions. 【0301】 Step 3: 【0302】 Based on the acquired user's current location and condition information, the server accesses external data sources to obtain real-time traffic information, weather information, facility availability, and equipment information. In this information acquisition process, the server uses communication protocols such as REST APIs to gather the necessary information. 【0303】 Step 4: 【0304】 The server processes the collected information in an integrated manner. Here, various types of collected information are used as input data for an AI model, and calculations are performed to select the most suitable business facility for the user's needs. Specifically, traffic conditions and facility availability are evaluated, and the most suitable destinations for the user are ranked and listed. 【0305】 Step 5: 【0306】 The server analyzes past usage history and productivity data using an AI model to make customized facility predictions for each user. By analyzing past data, recommended facilities considering the user's behavior patterns are added to the list to complete the final proposal. 【0307】 Step 6: 【0308】 The server sends the final proposal to the terminal. The terminal verifies the received proposal and visually presents it to the user using AR or VR. The display also includes detailed information on each facility collected, providing an interface that allows the user to easily select. 【0309】 Step 7: 【0310】 The user checks the presented list of business facilities and selects the desired facility. The selected information is saved on the terminal and fed back to the server as needed. This feedback can be used to improve future proposal accuracy. 【0311】 (Application Example 1) 【0312】 Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0313】 In modern society, in order for users to work efficiently, it is important to select an optimal working environment according to the situation. However, when selecting a working environment, it takes time and effort for users to manually search for and compare various information. This is particularly burdensome when finding an appropriate working space during movement or checking its availability. Also, in normal information displays, it is difficult to visually judge the actual working environment, and intuitive judgment by the user is required. Such issues can also result in a decrease in the user's productivity. 【0314】 The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means. 【0315】 This invention includes a server that inputs the user's current location and schedule information and proposes an optimal work area, a means for acquiring facility availability and equipment information, and a means for receiving instructions via an input device held by the user and dynamically updating the work area proposal in real time. As a result, the user can acquire the necessary information in one place and efficiently and quickly select the optimal work environment. In addition, by providing visual information, the user can make realistic decisions and improve work efficiency. 【0316】 "User's current location information" refers to data indicating the user's current geographical location, which is obtained through the device's location services. 【0317】 "Schedule information" refers to the user's schedule and future activity plans, and is important data for the system to make optimal suggestions. 【0318】 The "optimal workspace" refers to the workspace that best suits the user's needs, taking into account equipment, availability, environment, and accessibility. 【0319】 "Facility availability" refers to information indicating the usability of specific workspaces, meeting rooms, etc., and serves as an indicator for users when selecting a location. 【0320】 "Equipment information" refers to information about the devices and infrastructure placed in the work environment, and is used to determine whether the user can utilize the necessary functions. 【0321】 "User input devices" refers to devices or means used by users to input information, and includes smartphones, tablets, and other similar devices. 【0322】 "A means of receiving instructions and dynamically updating work area proposals in real time" refers to a process that receives input from users and immediately revises the proposal content based on new information. 【0323】 "Providing visual information" refers to methods of providing users with details of their work environment and space in a way that allows them to visually assess them, and includes the use of augmented reality and virtual reality technologies. 【0324】 The system that implements this application has the following configuration: The server receives location and schedule information entered by the user and proposes the optimal work area based on this information. The server retrieves facility availability and equipment information from an external database and also collects real-time updated travel route information. In addition, the server utilizes a generative AI model to analyze past user data and productivity data to predict the optimal work area for the user. This allows users to choose a more efficient work environment. 【0325】 The user's device is a smartphone or tablet that accepts natural language input through its user interface. When the user accesses the device and gives instructions, that information is sent to the server. Based on the received information, the server generates a list of optimal workspaces and sends it to the device. The device then visually presents this list using augmented reality (AR) or virtual reality (VR) technology, allowing the user to intuitively check the workspace. 【0326】 For example, if a user asks the terminal, "I want to prepare before my next meeting, but which cafes are open?", the system will search for nearby cafes and present the user with the best option, taking into account availability and facilities. An example of a prompt in this case might be, "Please tell me which cafes I can work at while I'm on my way to my next destination. Please also consider the weather and traffic conditions to suggest the best location." 【0327】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0328】 Step 1: 【0329】 The user uses their device to enter their current location and planned activities. This information is then sent from the device to the server. In this step, the user's specific geographical location and activity plan are collected as data. 【0330】 Step 2: 【0331】 Based on the received location and schedule information, the server retrieves facility availability and equipment information from an external data source. This involves querying a database of business facilities. The server then receives accurate availability and equipment information from the database. 【0332】 Step 3: 【0333】 The server then uses a generative AI model to analyze past usage history and productivity data. This analysis predicts the optimal workspace for each individual user. The output at this stage is a list of candidate workspaces best suited to the user. 【0334】 Step 4: 【0335】 The server collects real-time weather and traffic information and calculates the optimal travel route, taking this information into consideration. Weather and traffic data are provided as input, and efficient travel route information is output. This process aims to minimize the time users spend traveling. 【0336】 Step 5: 【0337】 The server integrates predictive data provided by the generative AI model with real-time environmental data to generate a final work area proposal. This proposal is then organized into multiple options to help the user work efficiently. 【0338】 Step 6: 【0339】 The terminal visually presents the suggested workspaces received from the server to the user using augmented reality and virtual reality technologies. The output in this step appears in a format that the user can intuitively understand using AR and VR technologies. Based on the presented information, the user can select the most suitable workspace and begin working. 【0340】 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. 【0341】 This invention is a system that proposes the optimal work facility by taking into account the user's emotional state. This system connects the user terminal to a server and utilizes an emotion engine to recognize the user's current emotional state and provide personalized suggestions based on that state. 【0342】 Server Role 【0343】 The server receives data from the user, including their current location, schedule, and emotional state. Based on this information, the server generates suggestions for work facilities. In doing so, it obtains real-time traffic information, weather information, and facility availability and equipment information via external APIs. Based on this data, the server identifies the facility best suited to the user. It also analyzes past usage history and productivity data to run an algorithm that predicts the optimal work facility for each user. 【0344】 The emotion engine recognizes the user's emotional state and determines their stress level and current psychological condition. This information is used by the server to customize its recommendations. For example, a user experiencing high stress levels will be prioritized for facilities that provide a relaxing environment. 【0345】 Terminal role 【0346】 The terminal has the ability to accept natural language input and emotional state sensor input through a user interface. The terminal sends this data to a server and receives a suggestion of the most suitable work facilities as a result of the processing. The list of suggested facilities is presented to the user visually. In this process, augmented reality (AR) and virtual reality (VR) technologies are used to visually display the availability and equipment information of the work facilities in real time. 【0347】 Furthermore, using an emotion engine, the device can track the user's emotional state in real time and update its suggestions as needed. 【0348】 User actions 【0349】 Users enter their current location and schedule information as usual, and wear a device that measures their emotional state. This data is sent from the terminal to a server, and the entire system works together to generate optimal suggestions. For example, if the emotion engine detects that the user is "stressed," work facilities that provide a calm environment will be prioritized. 【0350】 This system allows users to select a more personalized work environment, contributing to improved work efficiency and reduced stress. Because users can quickly and accurately select facilities based on visual information, they can effectively utilize their limited time. 【0351】 The following describes the processing flow. 【0352】 Step 1: 【0353】 The user enters their current location and planned visits into their device. They also use a device to measure their emotional state, and this data is also received by the device. 【0354】 Step 2: 【0355】 The device sends acquired current location information, schedule information, and emotional state data to the server. 【0356】 Step 3: 【0357】 The server uses external APIs to obtain real-time traffic and weather information. It also obtains facility availability and equipment information for each facility through the facility's system APIs. 【0358】 Step 4: 【0359】 The server analyzes the received emotional state data using an emotion engine to evaluate the user's stress level and psychological state. Based on this information, the priority of facilities is determined. 【0360】 Step 5: 【0361】 The server analyzes the user's past usage history and productivity data, and uses machine learning models to predict the optimal work facility. 【0362】 Step 6: 【0363】 The server comprehensively analyzes traffic information, weather information, sentiment data, and past performance to create a list of recommended work facilities. If stress levels are high, facilities with a relaxing environment will be prioritized. 【0364】 Step 7: 【0365】 The server sends a list of proposed business facilities to the terminal. 【0366】 Step 8: 【0367】 The terminal visually displays a list of received work facilities to the user. Augmented reality (AR) and virtual reality (VR) technologies are used to visualize facility availability and equipment in real time. 【0368】 Step 9: 【0369】 The user selects the most suitable work facility based on the information provided. The terminal sends the user's final selection to the server and makes a reservation for the facility if necessary. 【0370】 Step 10: 【0371】 The device continuously monitors the user's emotional state and updates its suggestions as needed. This ensures that the service is continuously tailored to the user's condition. 【0372】 (Example 2) 【0373】 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". 【0374】 In today's work environment, various factors influence work efficiency and stress levels. However, conventional systems have difficulty selecting work facilities that take into account the user's psychological state and real-time external conditions, leading to decreased work efficiency and increased stress. Therefore, there is a need for more personalized work facility proposals that comprehensively consider the user's emotional state and external conditions. 【0375】 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. 【0376】 In this invention, the server includes means for inputting the user's current location information and schedule information and measuring their emotional state; means for suggesting the most suitable work facility based on the user's emotional state using a generative AI model; and means for acquiring facility availability and equipment information from external sources. This enables the user to select a more appropriate work facility based on their own psychological state and real-time conditions. 【0377】 "User's current location information" refers to geographical data used to identify where the user is currently located. 【0378】 "Planned information" refers to information about the user's future plans and schedules. 【0379】 "Emotional state" refers to data that indicates the user's psychological state and emotional level. 【0380】 A "generative AI model" is a model that uses artificial intelligence technology to analyze data and generate output tailored to a specific purpose. 【0381】 A "business facility" refers to a building or space that a user can use to conduct business. 【0382】 "External information sources" refer to external data provision services or APIs that allow a system to obtain necessary data in real time. 【0383】 "Movement information" refers to data about the route and means of transportation used by a user to reach their designated destination. 【0384】 "Weather information" refers to data about predicted weather and current weather conditions. 【0385】 "Natural language processing" is the technology that enables computers to understand, generate, and manipulate human language. 【0386】 Augmented reality is a technology that overlays digital information onto real-world visual information. 【0387】 "Virtual reality" is a technology that allows users to immerse themselves in a computer-generated environment. 【0388】 "Past usage history" refers to data related to the user's previous use of business facilities. 【0389】 "Productivity indicators" are metrics used to measure the efficiency and results of users' work. 【0390】 "Real-time monitoring" is the process of instantly checking the situation and status at any given moment through sensors and data analysis. 【0391】 This invention is a system that considers the user's emotional state and proposes the optimal work environment. The system mainly consists of three components: a server, a terminal, and the user. 【0392】 The server receives data from users, including their current location, schedule, and emotional state. This data is then used with a generative AI model to analyze the user's emotional state and identify the most suitable work facility. The server also obtains real-time facility availability, equipment information, traffic information, and weather information from external sources to perform comprehensive data analysis. 【0393】 The terminal receives input from the user and communicates data with the server. The terminal provides a user interface and understands user instructions using natural language processing. Furthermore, the terminal utilizes augmented reality (AR) and virtual reality (VR) technologies to visually display detailed information about proposed business facilities. This visualization allows users to effectively select facilities. 【0394】 Users input schedule and location information into their devices and utilize sensors to measure their emotional state. This allows users to receive suggestions for optimal work facilities tailored to their psychological state. For example, if a user enters "Please suggest a relaxing work environment" as a prompt, the system will suggest the most suitable facility considering their emotional state. 【0395】 This configuration allows users to efficiently select work facilities that best consider their individual emotional state and work efficiency. The system based on this invention provides a practical solution to improve users' quality of life. 【0396】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0397】 Step 1: 【0398】 The user inputs their current location and schedule information into the device and wears a device to measure their emotional state. This sends the user's prepared location and schedule information, along with emotional data from the sensor, to the device as input data. The device then formats this data and prepares it for transmission to the server. 【0399】 Step 2: 【0400】 The device transmits location information, schedule information, and emotional state data received from the user to the server. This serves as input to the server. The device converts the data into an appropriate format and securely transmits it to the server via encrypted communication. 【0401】 Step 3: 【0402】 The server receives input data from the terminal and communicates with external information sources (e.g., weather APIs and traffic APIs) to obtain real-time traffic and weather information, as well as information on the availability of business facilities. This external data is combined with the user's input data and prepared for processing by the generative AI model. The server uses this as input data to integrate the external information and perform analysis using the generative AI model. 【0403】 Step 4: 【0404】 The server uses a generative AI model to suggest the optimal work facility, taking into account the user's emotional state based on integrated data. Specifically, if the user's emotional state is stressful, the model optimizes to prioritize relaxing facilities. The output of the generative AI model is a list of preferred work facilities. 【0405】 Step 5: 【0406】 The server sends the generated list of proposed work facilities to the terminal. This becomes the output to the terminal. The terminal receives the proposed results, which reflect real-time information and the user's status. 【0407】 Step 6: 【0408】 The terminal visually presents the user with a list of suggestions sent from the server. Using AR and VR technologies, the terminal allows the user to intuitively understand detailed information about the facilities. The user reviews the suggested facilities and selects the most suitable one. The terminal then prepares to send information based on this user selection back to the server. 【0409】 This processing flow allows users to receive suggestions for work facilities that best reflect their emotional state and external conditions, enabling them to optimize their work environment. 【0410】 (Application Example 2) 【0411】 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." 【0412】 In today's work environment, selecting the optimal facility based on the user's emotional state and real-time circumstances is essential for improving work efficiency and reducing stress. However, conventional systems are unable to adequately consider these factors, making it difficult to provide fully personalized recommendations to users. 【0413】 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. 【0414】 In this invention, the server includes means for inputting the user's current location information, schedule information, and emotional state data to propose the optimal work facility; means for acquiring facility availability and equipment information; means for collecting and analyzing real-time travel route information to calculate the optimal route; means for interacting with the user using natural language processing and generating personalized responses based on the emotional state; and means for predicting the optimal facility based on past usage history, productivity data, and emotional state data. This makes it possible to select the optimal work facility and propose a route that matches the user's emotional state. 【0415】 "User's current location information" refers to data that indicates the user's geographical location and is used to understand the situation in real time. 【0416】 "Schedule information" refers to data about the user's future activities and schedule, and is used to make highly relevant suggestions. 【0417】 "Emotional state data" refers to information used to analyze a user's psychological and emotional state. 【0418】 "Facility availability" refers to information indicating whether a particular facility is available for use, and is used to improve the accuracy of suggestions. 【0419】 "Facility information" refers to detailed information about the functions and conveniences available within a facility, contributing to the selection of facilities that meet the user's needs. 【0420】 "Real-time travel route information" refers to dynamic information that shows the shortest or most optimal route to reach a destination specified by the user. 【0421】 "Natural language processing" is a technology that enables computers to understand human language and engage in dialogue. 【0422】 Augmented reality is a technology that overlays digital information onto the real world environment. 【0423】 "Virtual reality" is a technology that immerses users in a virtual space created by a computer. 【0424】 "Past usage history" refers to data about the user's past behavior and facility usage, which is useful for predicting future behavior. 【0425】 "Productivity data" refers to information related to a user's work efficiency and performance. 【0426】 The system for implementing this invention consists of a terminal used by the user and a server located in the cloud. 【0427】 The device acquires current location information, schedule information, and emotional state data from the user. It also has the ability to analyze the emotional state in real time through built-in sensors and the user's self-reporting form, and transmit this data to a server. This enables the selection of the optimal facility based on the user's immediate state. The user interface for various inputs in natural language is provided as an application that runs on smartphones and smartwatches. 【0428】 The server receives data sent by users and uses real-time APIs (such as Amazon Web Services) to collect facility availability, equipment information, weather, and traffic information. The collected data is analyzed using programs such as Python, and a generative AI model is applied to predict the optimal business facility based on the user's past usage history, productivity data, and emotional state data. 【0429】 Based on the analysis results received from the server, the terminal uses augmented reality and virtual reality technologies to visually display facility information. Users can then select the most suitable facility from this information. 【0430】 For example, if a user inputs the instruction "I'm looking for a place to relax," the server analyzes the information in real time and provides options that match their emotional state, such as a quiet park or a calming cafe. This allows users to easily find the environment they are looking for. 【0431】 An example of a prompt for a generative AI model is, "What kind of facility is suitable when a user wants to relax?" 【0432】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0433】 Step 1: 【0434】 Users input their current location, schedule, and emotional state data using their smartphones. Real-time emotional data is collected via sensors or self-report forms and transmitted from the device to a server. The input data serves as basic information for selecting the most suitable facility based on the user's emotional state. 【0435】 Step 2: 【0436】 The server receives current location and schedule information sent by the user. Simultaneously, it collects real-time facility availability, equipment information, weather information, and traffic information via an external API. This data is used as an analytical platform for selecting the most suitable facility. 【0437】 Step 3: 【0438】 The server combines all received data and uses a generative AI model to suggest facilities based on the user's emotional state, past usage history, and productivity data. Python and other languages ​​are used for data processing, and an algorithm is applied to predict the optimal work environment for the user based on emotional data and productivity indicators. 【0439】 Step 4: 【0440】 The server generates information on optimal facilities and sends it to the terminal, visualizing the best recommendations. The terminal then presents the received recommendation information to the user using augmented reality or virtual reality. This visualization allows users to intuitively understand the availability and details of the facilities offered. 【0441】 Step 5: 【0442】 Based on visualized information, users select the facility best suited to their emotional state. Based on their selection, they receive route guidance tailored to their subsequent plans. In this way, users can efficiently perform their tasks in an environment best suited to their needs. 【0443】 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. 【0444】 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. 【0445】 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. 【0446】 [Third Embodiment] 【0447】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0448】 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. 【0449】 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). 【0450】 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. 【0451】 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. 【0452】 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). 【0453】 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. 【0454】 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. 【0455】 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. 【0456】 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. 【0457】 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. 【0458】 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". 【0459】 This invention is designed as a system for users to efficiently select the most suitable work facility. This system achieves its functionality through communication between the user terminal and the server via the internet. 【0460】 Server Role 【0461】 The server first generates suggestions for work facilities based on the user's current location and schedule information. Specifically, the server obtains real-time traffic and weather information, as well as facility availability and equipment information, from external data sources. It integrates this information and runs an algorithm to identify the work facility best suited to the user's conditions. The server also accumulates and analyzes the user's past usage history and productivity data to predict the facility best suited to each individual user. This predictive information is reflected in the suggestions. 【0462】 Terminal role 【0463】 The terminal has the capability to accept natural language input through its user interface. When a user enters a question into the terminal, the data is sent to the server. Upon receiving a response from the server, the terminal presents the user with a list of suggested work facilities. This display includes means of visually confirming the current status and equipment information of the work facilities using augmented reality (AR) and virtual reality (VR) technologies. Based on this information, the terminal enables the user to quickly select the most suitable work facility. 【0464】 User actions 【0465】 Users input their current location and schedule information, and specify the type and conditions of work facilities they are interested in. This allows the system to make suggestions tailored to the user's needs. For example, if a user inputs "I have 30 minutes of free time before my next visit," the system will suggest the most suitable work facilities based on that information, providing the user with an environment where they can work efficiently even in a short amount of time. 【0466】 This system is designed to reduce the time loss and inconvenience associated with traditional facility selection, allowing users to make effective use of their limited time. Users can visually review the details of proposed facilities and make quick, intuitive selections, contributing to improved work efficiency. 【0467】 The following describes the processing flow. 【0468】 Step 1: 【0469】 The user enters their current location and planned visits via their device. The device then sends this information to the server. 【0470】 Step 2: 【0471】 The server calls external APIs to obtain real-time traffic and weather information. It also retrieves the availability and equipment information of each facility from the system APIs of the business facilities. 【0472】 Step 3: 【0473】 The server reads the user's past usage history and productivity data from a database, analyzes it using a machine learning model, and predicts the most suitable work facilities for the user. 【0474】 Step 4: 【0475】 The server considers traffic information and weather conditions to calculate the optimal travel route based on the user's planned visits. Based on this, it creates a list of recommended business facilities. 【0476】 Step 5: 【0477】 The server sends a list of recommended work facilities to the terminal. 【0478】 Step 6: 【0479】 The terminal visually displays a list of received business facilities to the user. Furthermore, it uses augmented reality or virtual reality to show the user the availability and equipment of each facility. 【0480】 Step 7: 【0481】 The user selects the most suitable work facility based on the information provided. The terminal sends the user's selection to the server and makes a reservation for the facility if necessary. 【0482】 (Example 1) 【0483】 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." 【0484】 Conventional business facility selection systems are time-consuming for users to choose the optimal facility, and they fail to effectively utilize the available information. Furthermore, the suggested facilities are not properly customized to the individual needs of users, resulting in a failure to maximize operational efficiency. 【0485】 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. 【0486】 In this invention, the server includes means for inputting the user's current location and schedule information and suggesting the optimal work facility; means for acquiring facility availability and equipment information; means for collecting and analyzing real-time travel route information to calculate the optimal route; means for interacting with the user through natural language processing; means for visually displaying facility information using augmented reality or virtual reality; means for predicting the optimal facility based on past usage history and productivity data; and means for sending natural language input from the user as prompt sentences to a generating AI model to identify work facilities that meet the conditions. This enables the user to quickly and efficiently select a work facility that suits their individual needs. 【0487】 "User's current location information" refers to data indicating the user's geographical location, and is usually obtained using location information technologies such as GPS. 【0488】 "Schedule information" refers to data related to a user's upcoming plans and schedules, including detailed information about the user's activities. 【0489】 "Means of proposing the optimal business facility" refers to functions and processes that provide users with the most appropriate business facility options at that time, based on the information they input. 【0490】 "Means for obtaining facility availability and equipment information" refers to methods for obtaining data on the available hours and current occupancy status of business facilities, as well as various equipment provided within the facilities. 【0491】 "Means for collecting and analyzing real-time travel route information to calculate the optimal route" refers to a system that collects and analyzes real-time travel route information and calculates the shortest or most optimal route to the user's destination. 【0492】 "Means of interacting with users through natural language processing" refers to technologies that enable users to communicate with systems using normal spoken language, and are means of understanding user intent and providing necessary information. 【0493】 "Means of visually displaying facility information using augmented reality or virtual reality" refers to a system that uses AR (augmented reality) or VR (virtual reality) technology to display information about business facilities to users in an intuitive and easy-to-understand manner. 【0494】 "A method for predicting the optimal facility based on past usage history and productivity data" refers to a method of analyzing data on facilities that users have used in the past and data on productivity during those uses, in order to propose the most suitable business facility for the future. 【0495】 A "generative AI model" is an artificial intelligence model that performs calculations and inferences based on natural language input received from a user to propose the optimal solution. 【0496】 A "prompt" is a sentence containing instructions or questions that is input into a generative AI model, serving as a guide for the AI ​​to create appropriate responses and suggestions. 【0497】 The system according to the present invention is designed to enable users to efficiently select the most suitable work facility. For this system to work, the server and the user's terminal must communicate via the internet. The server generates a suggestion for the most suitable work facility based on the user's current location and schedule information. 【0498】 The server utilizes a high-performance computing server as its specific hardware and leverages algorithms that implement generative AI models as its software. This server acquires real-time traffic information, weather information, and facility availability and equipment information from external data sources. It processes this information integrally and performs calculations to identify the facility that best matches the user's input conditions. Furthermore, the server has the ability to accumulate historical usage history and productivity data, and uses machine learning techniques to predict the optimal facility for each individual user. 【0499】 The terminal has the ability to accept natural language input through its user interface, and this input is sent to the server as a prompt. For example, a specific need such as, "I have 30 minutes to kill before my next appointment, so please find me a quiet cafe with Wi-Fi," might be entered. 【0500】 The terminal receives a response from the server and presents the user with a list of the most suitable work facilities. Augmented reality (AR) and virtual reality (VR) technologies are used in this presentation, allowing users to visually check the internal environment and equipment of each facility. Based on this information, users can quickly select the most suitable work facility and efficiently carry out their tasks according to their schedule. 【0501】 By using this system, users can reduce the time lost in the traditional process of selecting work facilities and obtain a more fulfilling work environment in a shorter amount of time. 【0502】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0503】 Step 1: 【0504】 The terminal receives natural language input from the user. Specifically, the user enters their current location, schedule information, and the type and conditions of the desired work facility. This input data is formatted as a prompt message and prepared for transmission to the server. 【0505】 Step 2: 【0506】 The terminal sends a formatted prompt message to the server. Upon receiving this input, the server uses a generative AI model to analyze the user's needs and execute the corresponding algorithm. At this stage, the server prepares to collect relevant information from external data sources based on the user's conditions. 【0507】 Step 3: 【0508】 Based on the acquired user's current location and condition information, the server accesses external data sources to obtain real-time traffic information, weather information, facility availability, and equipment information. In this information acquisition process, the server uses communication protocols such as REST APIs to gather the necessary information. 【0509】 Step 4: 【0510】 The server processes the collected information in an integrated manner. Here, various types of collected information are used as input data for an AI model, and calculations are performed to select the most suitable business facility for the user's needs. Specifically, traffic conditions and facility availability are evaluated, and the most suitable destinations for the user are ranked and listed. 【0511】 Step 5: 【0512】 The server uses an AI model to analyze past usage history and productivity data to provide customized facility predictions for each user. By analyzing past data, it adds recommended facilities that take user behavior patterns into account to the list, completing the final recommendations. 【0513】 Step 6: 【0514】 The server sends the final proposal to the terminal. The terminal verifies the received proposal and presents it to the user visually using AR or VR. The display includes detailed information about each facility collected and provides an easy-to-use interface for the user to select from. 【0515】 Step 7: 【0516】 The user reviews the presented list of facilities and selects the desired facility. The selected information is saved on the device and fed back to the server as needed. This feedback helps improve the accuracy of future suggestions. 【0517】 (Application Example 1) 【0518】 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." 【0519】 In modern society, selecting the optimal work environment for each situation is crucial for users to perform their tasks efficiently. However, manually searching and comparing various information to choose a work environment is time-consuming and laborious. This is particularly burdensome when finding a suitable workspace while on the go or checking its availability. Furthermore, typical information displays make it difficult to visually assess the actual work environment, requiring users to rely on their intuition. These challenges can ultimately lead to a decrease in user productivity. 【0520】 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. 【0521】 This invention includes a server that inputs the user's current location and schedule information and proposes an optimal work area, a means for acquiring facility availability and equipment information, and a means for receiving instructions via an input device held by the user and dynamically updating the work area proposal in real time. As a result, the user can acquire the necessary information in one place and efficiently and quickly select the optimal work environment. In addition, by providing visual information, the user can make realistic decisions and improve work efficiency. 【0522】 "User's current location information" refers to data indicating the user's current geographical location, which is obtained through the device's location services. 【0523】 "Schedule information" refers to the user's schedule and future activity plans, and is important data for the system to make optimal suggestions. 【0524】 The "optimal workspace" refers to the workspace that best suits the user's needs, taking into account equipment, availability, environment, and accessibility. 【0525】 "Facility availability" refers to information indicating the usability of specific workspaces, meeting rooms, etc., and serves as an indicator for users when selecting a location. 【0526】 "Equipment information" refers to information about the devices and infrastructure placed in the work environment, and is used to determine whether the user can utilize the necessary functions. 【0527】 "User input devices" refers to devices or means used by users to input information, and includes smartphones, tablets, and other similar devices. 【0528】 "A means of receiving instructions and dynamically updating work area proposals in real time" refers to a process that receives input from users and immediately revises the proposal content based on new information. 【0529】 "Providing visual information" refers to methods of providing users with details of their work environment and space in a way that allows them to visually assess them, and includes the use of augmented reality and virtual reality technologies. 【0530】 The system that implements this application has the following configuration: The server receives location and schedule information entered by the user and proposes the optimal work area based on this information. The server retrieves facility availability and equipment information from an external database and also collects real-time updated travel route information. In addition, the server utilizes a generative AI model to analyze past user data and productivity data to predict the optimal work area for the user. This allows users to choose a more efficient work environment. 【0531】 The user's device is a smartphone or tablet that accepts natural language input through its user interface. When the user accesses the device and gives instructions, that information is sent to the server. Based on the received information, the server generates a list of optimal workspaces and sends it to the device. The device then visually presents this list using augmented reality (AR) or virtual reality (VR) technology, allowing the user to intuitively check the workspace. 【0532】 For example, if a user asks the terminal, "I want to prepare before my next meeting, but which cafes are open?", the system will search for nearby cafes and present the user with the best option, taking into account availability and facilities. An example of a prompt in this case might be, "Please tell me which cafes I can work at while I'm on my way to my next destination. Please also consider the weather and traffic conditions to suggest the best location." 【0533】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0534】 Step 1: 【0535】 The user uses their device to enter their current location and planned activities. This information is then sent from the device to the server. In this step, the user's specific geographical location and activity plan are collected as data. 【0536】 Step 2: 【0537】 Based on the received location and schedule information, the server retrieves facility availability and equipment information from an external data source. This involves querying a database of business facilities. The server then receives accurate availability and equipment information from the database. 【0538】 Step 3: 【0539】 The server then uses a generative AI model to analyze past usage history and productivity data. This analysis predicts the optimal workspace for each individual user. The output at this stage is a list of candidate workspaces best suited to the user. 【0540】 Step 4: 【0541】 The server collects real-time weather and traffic information and calculates the optimal travel route, taking this information into consideration. Weather and traffic data are provided as input, and efficient travel route information is output. This process aims to minimize the time users spend traveling. 【0542】 Step 5: 【0543】 The server integrates predictive data provided by the generative AI model with real-time environmental data to generate a final work area proposal. This proposal is then organized into multiple options to help the user work efficiently. 【0544】 Step 6: 【0545】 The terminal visually presents the suggested workspaces received from the server to the user using augmented reality and virtual reality technologies. The output in this step appears in a format that the user can intuitively understand using AR and VR technologies. Based on the presented information, the user can select the most suitable workspace and begin working. 【0546】 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. 【0547】 This invention is a system that proposes the optimal work facility by taking into account the user's emotional state. This system connects the user terminal to a server and utilizes an emotion engine to recognize the user's current emotional state and provide personalized suggestions based on that state. 【0548】 Server Role 【0549】 The server receives data from the user, including their current location, schedule, and emotional state. Based on this information, the server generates suggestions for work facilities. In doing so, it obtains real-time traffic information, weather information, and facility availability and equipment information via external APIs. Based on this data, the server identifies the facility best suited to the user. It also analyzes past usage history and productivity data to run an algorithm that predicts the optimal work facility for each user. 【0550】 The emotion engine recognizes the user's emotional state and determines their stress level and current psychological condition. This information is used by the server to customize its recommendations. For example, a user experiencing high stress levels will be prioritized for facilities that provide a relaxing environment. 【0551】 Terminal role 【0552】 The terminal has the ability to accept natural language input and emotional state sensor input through a user interface. The terminal sends this data to a server and receives a suggestion of the most suitable work facilities as a result of the processing. The list of suggested facilities is presented to the user visually. In this process, augmented reality (AR) and virtual reality (VR) technologies are used to visually display the availability and equipment information of the work facilities in real time. 【0553】 Furthermore, using an emotion engine, the device can track the user's emotional state in real time and update its suggestions as needed. 【0554】 User actions 【0555】 Users enter their current location and schedule information as usual, and wear a device that measures their emotional state. This data is sent from the terminal to a server, and the entire system works together to generate optimal suggestions. For example, if the emotion engine detects that the user is "stressed," work facilities that provide a calm environment will be prioritized. 【0556】 This system allows users to select a more personalized work environment, contributing to improved work efficiency and reduced stress. Because users can quickly and accurately select facilities based on visual information, they can effectively utilize their limited time. 【0557】 The following describes the processing flow. 【0558】 Step 1: 【0559】 The user enters their current location and planned visits into their device. They also use a device to measure their emotional state, and this data is also received by the device. 【0560】 Step 2: 【0561】 The device sends acquired current location information, schedule information, and emotional state data to the server. 【0562】 Step 3: 【0563】 The server uses external APIs to obtain real-time traffic and weather information. It also obtains facility availability and equipment information for each facility through the facility's system APIs. 【0564】 Step 4: 【0565】 The server analyzes the received emotional state data using an emotion engine to evaluate the user's stress level and psychological state. Based on this information, the priority of facilities is determined. 【0566】 Step 5: 【0567】 The server analyzes the user's past usage history and productivity data, and uses machine learning models to predict the optimal work facility. 【0568】 Step 6: 【0569】 The server comprehensively analyzes traffic information, weather information, sentiment data, and past performance to create a list of recommended work facilities. If stress levels are high, facilities with a relaxing environment will be prioritized. 【0570】 Step 7: 【0571】 The server sends a list of proposed business facilities to the terminal. 【0572】 Step 8: 【0573】 The terminal visually displays a list of received work facilities to the user. Augmented reality (AR) and virtual reality (VR) technologies are used to visualize facility availability and equipment in real time. 【0574】 Step 9: 【0575】 The user selects the most suitable work facility based on the information provided. The terminal sends the user's final selection to the server and makes a reservation for the facility if necessary. 【0576】 Step 10: 【0577】 The device continuously monitors the user's emotional state and updates its suggestions as needed. This ensures that the service is continuously tailored to the user's condition. 【0578】 (Example 2) 【0579】 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." 【0580】 In today's work environment, various factors influence work efficiency and stress levels. However, conventional systems have difficulty selecting work facilities that take into account the user's psychological state and real-time external conditions, leading to decreased work efficiency and increased stress. Therefore, there is a need for more personalized work facility proposals that comprehensively consider the user's emotional state and external conditions. 【0581】 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. 【0582】 In this invention, the server includes means for inputting the user's current location information and schedule information and measuring their emotional state; means for suggesting the most suitable work facility based on the user's emotional state using a generative AI model; and means for acquiring facility availability and equipment information from external sources. This enables the user to select a more appropriate work facility based on their own psychological state and real-time conditions. 【0583】 "User's current location information" refers to geographical data used to identify where the user is currently located. 【0584】 "Planned information" refers to information about the user's future plans and schedules. 【0585】 "Emotional state" refers to data that indicates the user's psychological state and emotional level. 【0586】 A "generative AI model" is a model that uses artificial intelligence technology to analyze data and generate output tailored to a specific purpose. 【0587】 A "business facility" refers to a building or space that a user can use to conduct business. 【0588】 "External information sources" refer to external data provision services or APIs that allow a system to obtain necessary data in real time. 【0589】 "Movement information" refers to data about the route and means of transportation used by a user to reach their designated destination. 【0590】 "Weather information" refers to data about predicted weather and current weather conditions. 【0591】 "Natural language processing" is the technology that enables computers to understand, generate, and manipulate human language. 【0592】 Augmented reality is a technology that overlays digital information onto real-world visual information. 【0593】 "Virtual reality" is a technology that allows users to immerse themselves in a computer-generated environment. 【0594】 "Past usage history" refers to data related to the user's previous use of business facilities. 【0595】 "Productivity indicators" are metrics used to measure the efficiency and results of users' work. 【0596】 "Real-time monitoring" is the process of instantly checking the situation and status at any given moment through sensors and data analysis. 【0597】 This invention is a system that considers the user's emotional state and proposes the optimal work environment. The system mainly consists of three components: a server, a terminal, and the user. 【0598】 The server receives data from users, including their current location, schedule, and emotional state. This data is then used with a generative AI model to analyze the user's emotional state and identify the most suitable work facility. The server also obtains real-time facility availability, equipment information, traffic information, and weather information from external sources to perform comprehensive data analysis. 【0599】 The terminal receives input from the user and communicates data with the server. The terminal provides a user interface and understands user instructions using natural language processing. Furthermore, the terminal utilizes augmented reality (AR) and virtual reality (VR) technologies to visually display detailed information about proposed business facilities. This visualization allows users to effectively select facilities. 【0600】 Users input schedule and location information into their devices and utilize sensors to measure their emotional state. This allows users to receive suggestions for optimal work facilities tailored to their psychological state. For example, if a user enters "Please suggest a relaxing work environment" as a prompt, the system will suggest the most suitable facility considering their emotional state. 【0601】 This configuration allows users to efficiently select work facilities that best consider their individual emotional state and work efficiency. The system based on this invention provides a practical solution to improve users' quality of life. 【0602】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0603】 Step 1: 【0604】 The user inputs their current location and schedule information into the device and wears a device to measure their emotional state. This sends the user's prepared location and schedule information, along with emotional data from the sensor, to the device as input data. The device then formats this data and prepares it for transmission to the server. 【0605】 Step 2: 【0606】 The device transmits location information, schedule information, and emotional state data received from the user to the server. This serves as input to the server. The device converts the data into an appropriate format and securely transmits it to the server via encrypted communication. 【0607】 Step 3: 【0608】 The server receives input data from the terminal and communicates with external information sources (e.g., weather APIs and traffic APIs) to obtain real-time traffic and weather information, as well as information on the availability of business facilities. This external data is combined with the user's input data and prepared for processing by the generative AI model. The server uses this as input data to integrate the external information and perform analysis using the generative AI model. 【0609】 Step 4: 【0610】 The server uses a generative AI model to suggest the optimal work facility, taking into account the user's emotional state based on integrated data. Specifically, if the user's emotional state is stressful, the model optimizes to prioritize relaxing facilities. The output of the generative AI model is a list of preferred work facilities. 【0611】 Step 5: 【0612】 The server sends the generated list of proposed work facilities to the terminal. This becomes the output to the terminal. The terminal receives the proposed results, which reflect real-time information and the user's status. 【0613】 Step 6: 【0614】 The terminal visually presents the user with a list of suggestions sent from the server. Using AR and VR technologies, the terminal allows the user to intuitively understand detailed information about the facilities. The user reviews the suggested facilities and selects the most suitable one. The terminal then prepares to send information based on this user selection back to the server. 【0615】 This processing flow allows users to receive suggestions for work facilities that best reflect their emotional state and external conditions, enabling them to optimize their work environment. 【0616】 (Application Example 2) 【0617】 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." 【0618】 In today's work environment, selecting the optimal facility based on the user's emotional state and real-time circumstances is essential for improving work efficiency and reducing stress. However, conventional systems are unable to adequately consider these factors, making it difficult to provide fully personalized recommendations to users. 【0619】 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. 【0620】 In this invention, the server includes means for inputting the user's current location information, schedule information, and emotional state data to propose the optimal work facility; means for acquiring facility availability and equipment information; means for collecting and analyzing real-time travel route information to calculate the optimal route; means for interacting with the user using natural language processing and generating personalized responses based on the emotional state; and means for predicting the optimal facility based on past usage history, productivity data, and emotional state data. This makes it possible to select the optimal work facility and propose a route that matches the user's emotional state. 【0621】 "User's current location information" refers to data that indicates the user's geographical location and is used to understand the situation in real time. 【0622】 "Schedule information" refers to data about the user's future activities and schedule, and is used to make highly relevant suggestions. 【0623】 "Emotional state data" refers to information used to analyze a user's psychological and emotional state. 【0624】 "Facility availability" refers to information indicating whether a particular facility is available for use, and is used to improve the accuracy of suggestions. 【0625】 "Facility information" refers to detailed information about the functions and conveniences available within a facility, contributing to the selection of facilities that meet the user's needs. 【0626】 "Real-time travel route information" refers to dynamic information that shows the shortest or most optimal route to reach a destination specified by the user. 【0627】 "Natural language processing" is a technology that enables computers to understand human language and engage in dialogue. 【0628】 Augmented reality is a technology that overlays digital information onto the real world environment. 【0629】 "Virtual reality" is a technology that immerses users in a virtual space created by a computer. 【0630】 "Past usage history" refers to data about the user's past behavior and facility usage, which is useful for predicting future behavior. 【0631】 "Productivity data" refers to information related to a user's work efficiency and performance. 【0632】 The system for implementing this invention consists of a terminal used by the user and a server located in the cloud. 【0633】 The device acquires current location information, schedule information, and emotional state data from the user. It also has the ability to analyze the emotional state in real time through built-in sensors and the user's self-reporting form, and transmit this data to a server. This enables the selection of the optimal facility based on the user's immediate state. The user interface for various inputs in natural language is provided as an application that runs on smartphones and smartwatches. 【0634】 The server receives data sent by users and uses real-time APIs (such as Amazon Web Services) to collect facility availability, equipment information, weather, and traffic information. The collected data is analyzed using programs such as Python, and a generative AI model is applied to predict the optimal business facility based on the user's past usage history, productivity data, and emotional state data. 【0635】 Based on the analysis results received from the server, the terminal uses augmented reality and virtual reality technologies to visually display facility information. Users can then select the most suitable facility from this information. 【0636】 For example, if a user inputs the instruction "I'm looking for a place to relax," the server analyzes the information in real time and provides options that match their emotional state, such as a quiet park or a calming cafe. This allows users to easily find the environment they are looking for. 【0637】 An example of a prompt for a generative AI model is, "What kind of facility is suitable when a user wants to relax?" 【0638】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0639】 Step 1: 【0640】 Users input their current location, schedule, and emotional state data using their smartphones. Real-time emotional data is collected via sensors or self-report forms and transmitted from the device to a server. The input data serves as basic information for selecting the most suitable facility based on the user's emotional state. 【0641】 Step 2: 【0642】 The server receives current location and schedule information sent by the user. Simultaneously, it collects real-time facility availability, equipment information, weather information, and traffic information via an external API. This data is used as an analytical platform for selecting the most suitable facility. 【0643】 Step 3: 【0644】 The server combines all received data and uses a generative AI model to suggest facilities based on the user's emotional state, past usage history, and productivity data. Python and other languages ​​are used for data processing, and an algorithm is applied to predict the optimal work environment for the user based on emotional data and productivity indicators. 【0645】 Step 4: 【0646】 The server generates information on optimal facilities and sends it to the terminal, visualizing the best recommendations. The terminal then presents the received recommendation information to the user using augmented reality or virtual reality. This visualization allows users to intuitively understand the availability and details of the facilities offered. 【0647】 Step 5: 【0648】 Based on visualized information, users select the facility best suited to their emotional state. Based on their selection, they receive route guidance tailored to their subsequent plans. In this way, users can efficiently perform their tasks in an environment best suited to their needs. 【0649】 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. 【0650】 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. 【0651】 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. 【0652】 [Fourth Embodiment] 【0653】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0654】 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. 【0655】 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). 【0656】 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. 【0657】 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. 【0658】 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). 【0659】 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. 【0660】 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. 【0661】 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. 【0662】 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. 【0663】 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. 【0664】 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. 【0665】 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". 【0666】 This invention is designed as a system for users to efficiently select the most suitable work facility. This system achieves its functionality through communication between the user terminal and the server via the internet. 【0667】 Server Role 【0668】 The server first generates suggestions for work facilities based on the user's current location and schedule information. Specifically, the server obtains real-time traffic and weather information, as well as facility availability and equipment information, from external data sources. It integrates this information and runs an algorithm to identify the work facility best suited to the user's conditions. The server also accumulates and analyzes the user's past usage history and productivity data to predict the facility best suited to each individual user. This predictive information is reflected in the suggestions. 【0669】 Terminal role 【0670】 The terminal has the capability to accept natural language input through its user interface. When a user enters a question into the terminal, the data is sent to the server. Upon receiving a response from the server, the terminal presents the user with a list of suggested work facilities. This display includes means of visually confirming the current status and equipment information of the work facilities using augmented reality (AR) and virtual reality (VR) technologies. Based on this information, the terminal enables the user to quickly select the most suitable work facility. 【0671】 User actions 【0672】 Users input their current location and schedule information, and specify the type and conditions of work facilities they are interested in. This allows the system to make suggestions tailored to the user's needs. For example, if a user inputs "I have 30 minutes of free time before my next visit," the system will suggest the most suitable work facilities based on that information, providing the user with an environment where they can work efficiently even in a short amount of time. 【0673】 This system is designed to reduce the time loss and inconvenience associated with traditional facility selection, allowing users to make effective use of their limited time. Users can visually review the details of proposed facilities and make quick, intuitive selections, contributing to improved work efficiency. 【0674】 The following describes the processing flow. 【0675】 Step 1: 【0676】 The user enters their current location and planned visits via their device. The device then sends this information to the server. 【0677】 Step 2: 【0678】 The server calls external APIs to obtain real-time traffic and weather information. It also retrieves the availability and equipment information of each facility from the system APIs of the business facilities. 【0679】 Step 3: 【0680】 The server reads the user's past usage history and productivity data from a database, analyzes it using a machine learning model, and predicts the most suitable work facilities for the user. 【0681】 Step 4: 【0682】 The server considers traffic information and weather conditions to calculate the optimal travel route based on the user's planned visits. Based on this, it creates a list of recommended business facilities. 【0683】 Step 5: 【0684】 The server sends a list of recommended work facilities to the terminal. 【0685】 Step 6: 【0686】 The terminal visually displays a list of received business facilities to the user. Furthermore, it uses augmented reality or virtual reality to show the user the availability and equipment of each facility. 【0687】 Step 7: 【0688】 The user selects the most suitable work facility based on the information provided. The terminal sends the user's selection to the server and makes a reservation for the facility if necessary. 【0689】 (Example 1) 【0690】 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". 【0691】 Conventional business facility selection systems are time-consuming for users to choose the optimal facility, and they fail to effectively utilize the available information. Furthermore, the suggested facilities are not properly customized to the individual needs of users, resulting in a failure to maximize operational efficiency. 【0692】 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. 【0693】 In this invention, the server includes means for inputting the user's current location and schedule information and suggesting the optimal work facility; means for acquiring facility availability and equipment information; means for collecting and analyzing real-time travel route information to calculate the optimal route; means for interacting with the user through natural language processing; means for visually displaying facility information using augmented reality or virtual reality; means for predicting the optimal facility based on past usage history and productivity data; and means for sending natural language input from the user as prompt sentences to a generating AI model to identify work facilities that meet the conditions. This enables the user to quickly and efficiently select a work facility that suits their individual needs. 【0694】 "User's current location information" refers to data indicating the user's geographical location, and is usually obtained using location information technologies such as GPS. 【0695】 "Schedule information" refers to data related to a user's upcoming plans and schedules, including detailed information about the user's activities. 【0696】 "Means of proposing the optimal business facility" refers to functions and processes that provide users with the most appropriate business facility options at that time, based on the information they input. 【0697】 "Means for obtaining facility availability and equipment information" refers to methods for obtaining data on the available hours and current occupancy status of business facilities, as well as various equipment provided within the facilities. 【0698】 "Means for collecting and analyzing real-time travel route information to calculate the optimal route" refers to a system that collects and analyzes real-time travel route information and calculates the shortest or most optimal route to the user's destination. 【0699】 "Means of interacting with users through natural language processing" refers to technologies that enable users to communicate with systems using normal spoken language, and are means of understanding user intent and providing necessary information. 【0700】 "Means of visually displaying facility information using augmented reality or virtual reality" refers to a system that uses AR (augmented reality) or VR (virtual reality) technology to display information about business facilities to users in an intuitive and easy-to-understand manner. 【0701】 "A method for predicting the optimal facility based on past usage history and productivity data" refers to a method of analyzing data on facilities that users have used in the past and data on productivity during those uses, in order to propose the most suitable business facility for the future. 【0702】 A "generative AI model" is an artificial intelligence model that performs calculations and inferences based on natural language input received from a user to propose the optimal solution. 【0703】 A "prompt" is a sentence containing instructions or questions that is input into a generative AI model, serving as a guide for the AI ​​to create appropriate responses and suggestions. 【0704】 The system according to the present invention is designed to enable users to efficiently select the most suitable work facility. For this system to work, the server and the user's terminal must communicate via the internet. The server generates a suggestion for the most suitable work facility based on the user's current location and schedule information. 【0705】 The server utilizes a high-performance computing server as its specific hardware and leverages algorithms that implement generative AI models as its software. This server acquires real-time traffic information, weather information, and facility availability and equipment information from external data sources. It processes this information integrally and performs calculations to identify the facility that best matches the user's input conditions. Furthermore, the server has the ability to accumulate historical usage history and productivity data, and uses machine learning techniques to predict the optimal facility for each individual user. 【0706】 The terminal has the ability to accept natural language input through its user interface, and this input is sent to the server as a prompt. For example, a specific need such as, "I have 30 minutes to kill before my next appointment, so please find me a quiet cafe with Wi-Fi," might be entered. 【0707】 The terminal receives a response from the server and presents the user with a list of the most suitable work facilities. Augmented reality (AR) and virtual reality (VR) technologies are used in this presentation, allowing users to visually check the internal environment and equipment of each facility. Based on this information, users can quickly select the most suitable work facility and efficiently carry out their tasks according to their schedule. 【0708】 By using this system, users can reduce the time lost in the traditional process of selecting work facilities and obtain a more fulfilling work environment in a shorter amount of time. 【0709】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0710】 Step 1: 【0711】 The terminal receives natural language input from the user. Specifically, the user enters their current location, schedule information, and the type and conditions of the desired work facility. This input data is formatted as a prompt message and prepared for transmission to the server. 【0712】 Step 2: 【0713】 The terminal sends a formatted prompt message to the server. Upon receiving this input, the server uses a generative AI model to analyze the user's needs and execute the corresponding algorithm. At this stage, the server prepares to collect relevant information from external data sources based on the user's conditions. 【0714】 Step 3: 【0715】 Based on the acquired user's current location and condition information, the server accesses external data sources to obtain real-time traffic information, weather information, facility availability, and equipment information. In this information acquisition process, the server uses communication protocols such as REST APIs to gather the necessary information. 【0716】 Step 4: 【0717】 The server processes the collected information in an integrated manner. Here, various types of collected information are used as input data for an AI model, and calculations are performed to select the most suitable business facility for the user's needs. Specifically, traffic conditions and facility availability are evaluated, and the most suitable destinations for the user are ranked and listed. 【0718】 Step 5: 【0719】 The server uses an AI model to analyze past usage history and productivity data to provide customized facility predictions for each user. By analyzing past data, it adds recommended facilities that take user behavior patterns into account to the list, completing the final recommendations. 【0720】 Step 6: 【0721】 The server sends the final proposal to the terminal. The terminal verifies the received proposal and presents it to the user visually using AR or VR. The display includes detailed information about each facility collected and provides an easy-to-use interface for the user to select from. 【0722】 Step 7: 【0723】 The user reviews the presented list of facilities and selects the desired facility. The selected information is saved on the device and fed back to the server as needed. This feedback helps improve the accuracy of future suggestions. 【0724】 (Application Example 1) 【0725】 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". 【0726】 In modern society, selecting the optimal work environment for each situation is crucial for users to perform their tasks efficiently. However, manually searching and comparing various information to choose a work environment is time-consuming and laborious. This is particularly burdensome when finding a suitable workspace while on the go or checking its availability. Furthermore, typical information displays make it difficult to visually assess the actual work environment, requiring users to rely on their intuition. These challenges can ultimately lead to a decrease in user productivity. 【0727】 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. 【0728】 This invention includes a server that inputs the user's current location and schedule information and proposes an optimal work area, a means for acquiring facility availability and equipment information, and a means for receiving instructions via an input device held by the user and dynamically updating the work area proposal in real time. As a result, the user can acquire the necessary information in one place and efficiently and quickly select the optimal work environment. In addition, by providing visual information, the user can make realistic decisions and improve work efficiency. 【0729】 "User's current location information" refers to data indicating the user's current geographical location, which is obtained through the device's location services. 【0730】 "Schedule information" refers to the user's schedule and future activity plans, and is important data for the system to make optimal suggestions. 【0731】 The "optimal workspace" refers to the workspace that best suits the user's needs, taking into account equipment, availability, environment, and accessibility. 【0732】 "Facility availability" refers to information indicating the usability of specific workspaces, meeting rooms, etc., and serves as an indicator for users when selecting a location. 【0733】 "Equipment information" refers to information about the devices and infrastructure placed in the work environment, and is used to determine whether the user can utilize the necessary functions. 【0734】 "User input devices" refers to devices or means used by users to input information, and includes smartphones, tablets, and other similar devices. 【0735】 "A means of receiving instructions and dynamically updating work area proposals in real time" refers to a process that receives input from users and immediately revises the proposal content based on new information. 【0736】 "Providing visual information" refers to methods of providing users with details of their work environment and space in a way that allows them to visually assess them, and includes the use of augmented reality and virtual reality technologies. 【0737】 The system that implements this application has the following configuration: The server receives location and schedule information entered by the user and proposes the optimal work area based on this information. The server retrieves facility availability and equipment information from an external database and also collects real-time updated travel route information. In addition, the server utilizes a generative AI model to analyze past user data and productivity data to predict the optimal work area for the user. This allows users to choose a more efficient work environment. 【0738】 The user's device is a smartphone or tablet that accepts natural language input through its user interface. When the user accesses the device and gives instructions, that information is sent to the server. Based on the received information, the server generates a list of optimal workspaces and sends it to the device. The device then visually presents this list using augmented reality (AR) or virtual reality (VR) technology, allowing the user to intuitively check the workspace. 【0739】 For example, if a user asks the terminal, "I want to prepare before my next meeting, but which cafes are open?", the system will search for nearby cafes and present the user with the best option, taking into account availability and facilities. An example of a prompt in this case might be, "Please tell me which cafes I can work at while I'm on my way to my next destination. Please also consider the weather and traffic conditions to suggest the best location." 【0740】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0741】 Step 1: 【0742】 The user uses their device to enter their current location and planned activities. This information is then sent from the device to the server. In this step, the user's specific geographical location and activity plan are collected as data. 【0743】 Step 2: 【0744】 Based on the received location and schedule information, the server retrieves facility availability and equipment information from an external data source. This involves querying a database of business facilities. The server then receives accurate availability and equipment information from the database. 【0745】 Step 3: 【0746】 The server then uses a generative AI model to analyze past usage history and productivity data. This analysis predicts the optimal workspace for each individual user. The output at this stage is a list of candidate workspaces best suited to the user. 【0747】 Step 4: 【0748】 The server collects real-time weather and traffic information and calculates the optimal travel route, taking this information into consideration. Weather and traffic data are provided as input, and efficient travel route information is output. This process aims to minimize the time users spend traveling. 【0749】 Step 5: 【0750】 The server integrates predictive data provided by the generative AI model with real-time environmental data to generate a final work area proposal. This proposal is then organized into multiple options to help the user work efficiently. 【0751】 Step 6: 【0752】 The terminal visually presents the suggested workspaces received from the server to the user using augmented reality and virtual reality technologies. The output in this step appears in a format that the user can intuitively understand using AR and VR technologies. Based on the presented information, the user can select the most suitable workspace and begin working. 【0753】 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. 【0754】 This invention is a system that proposes the optimal work facility by taking into account the user's emotional state. This system connects the user terminal to a server and utilizes an emotion engine to recognize the user's current emotional state and provide personalized suggestions based on that state. 【0755】 Server Role 【0756】 The server receives data from the user, including their current location, schedule, and emotional state. Based on this information, the server generates suggestions for work facilities. In doing so, it obtains real-time traffic information, weather information, and facility availability and equipment information via external APIs. Based on this data, the server identifies the facility best suited to the user. It also analyzes past usage history and productivity data to run an algorithm that predicts the optimal work facility for each user. 【0757】 The emotion engine recognizes the user's emotional state and determines their stress level and current psychological condition. This information is used by the server to customize its recommendations. For example, a user experiencing high stress levels will be prioritized for facilities that provide a relaxing environment. 【0758】 Terminal role 【0759】 The terminal has the ability to accept natural language input and emotional state sensor input through a user interface. The terminal sends this data to a server and receives a suggestion of the most suitable work facilities as a result of the processing. The list of suggested facilities is presented to the user visually. In this process, augmented reality (AR) and virtual reality (VR) technologies are used to visually display the availability and equipment information of the work facilities in real time. 【0760】 Furthermore, using an emotion engine, the device can track the user's emotional state in real time and update its suggestions as needed. 【0761】 User actions 【0762】 Users enter their current location and schedule information as usual, and wear a device that measures their emotional state. This data is sent from the terminal to a server, and the entire system works together to generate optimal suggestions. For example, if the emotion engine detects that the user is "stressed," work facilities that provide a calm environment will be prioritized. 【0763】 This system allows users to select a more personalized work environment, contributing to improved work efficiency and reduced stress. Because users can quickly and accurately select facilities based on visual information, they can effectively utilize their limited time. 【0764】 The following describes the processing flow. 【0765】 Step 1: 【0766】 The user enters their current location and planned visits into their device. They also use a device to measure their emotional state, and this data is also received by the device. 【0767】 Step 2: 【0768】 The device sends acquired current location information, schedule information, and emotional state data to the server. 【0769】 Step 3: 【0770】 The server uses external APIs to obtain real-time traffic and weather information. It also obtains facility availability and equipment information for each facility through the facility's system APIs. 【0771】 Step 4: 【0772】 The server analyzes the received emotional state data using an emotion engine to evaluate the user's stress level and psychological state. Based on this information, the priority of facilities is determined. 【0773】 Step 5: 【0774】 The server analyzes the user's past usage history and productivity data, and uses machine learning models to predict the optimal work facility. 【0775】 Step 6: 【0776】 The server comprehensively analyzes traffic information, weather information, sentiment data, and past performance to create a list of recommended work facilities. If stress levels are high, facilities with a relaxing environment will be prioritized. 【0777】 Step 7: 【0778】 The server sends a list of proposed business facilities to the terminal. 【0779】 Step 8: 【0780】 The terminal visually displays a list of received work facilities to the user. Augmented reality (AR) and virtual reality (VR) technologies are used to visualize facility availability and equipment in real time. 【0781】 Step 9: 【0782】 The user selects the most suitable work facility based on the information provided. The terminal sends the user's final selection to the server and makes a reservation for the facility if necessary. 【0783】 Step 10: 【0784】 The device continuously monitors the user's emotional state and updates its suggestions as needed. This ensures that the service is continuously tailored to the user's condition. 【0785】 (Example 2) 【0786】 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". 【0787】 In today's work environment, various factors influence work efficiency and stress levels. However, conventional systems have difficulty selecting work facilities that take into account the user's psychological state and real-time external conditions, leading to decreased work efficiency and increased stress. Therefore, there is a need for more personalized work facility proposals that comprehensively consider the user's emotional state and external conditions. 【0788】 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. 【0789】 In this invention, the server includes means for inputting the user's current location information and schedule information and measuring their emotional state; means for suggesting the most suitable work facility based on the user's emotional state using a generative AI model; and means for acquiring facility availability and equipment information from external sources. This enables the user to select a more appropriate work facility based on their own psychological state and real-time conditions. 【0790】 "User's current location information" refers to geographical data used to identify where the user is currently located. 【0791】 "Planned information" refers to information about the user's future plans and schedules. 【0792】 "Emotional state" refers to data that indicates the user's psychological state and emotional level. 【0793】 A "generative AI model" is a model that uses artificial intelligence technology to analyze data and generate output tailored to a specific purpose. 【0794】 A "business facility" refers to a building or space that a user can use to conduct business. 【0795】 "External information sources" refer to external data provision services or APIs that allow a system to obtain necessary data in real time. 【0796】 "Movement information" refers to data about the route and means of transportation used by a user to reach their designated destination. 【0797】 "Weather information" refers to data about predicted weather and current weather conditions. 【0798】 "Natural language processing" is the technology that enables computers to understand, generate, and manipulate human language. 【0799】 Augmented reality is a technology that overlays digital information onto real-world visual information. 【0800】 "Virtual reality" is a technology that allows users to immerse themselves in a computer-generated environment. 【0801】 "Past usage history" refers to data related to the user's previous use of business facilities. 【0802】 "Productivity indicators" are metrics used to measure the efficiency and results of users' work. 【0803】 "Real-time monitoring" is the process of instantly checking the situation and status at any given moment through sensors and data analysis. 【0804】 This invention is a system that considers the user's emotional state and proposes the optimal work environment. The system mainly consists of three components: a server, a terminal, and the user. 【0805】 The server receives data from users, including their current location, schedule, and emotional state. This data is then used with a generative AI model to analyze the user's emotional state and identify the most suitable work facility. The server also obtains real-time facility availability, equipment information, traffic information, and weather information from external sources to perform comprehensive data analysis. 【0806】 The terminal receives input from the user and communicates data with the server. The terminal provides a user interface and understands user instructions using natural language processing. Furthermore, the terminal utilizes augmented reality (AR) and virtual reality (VR) technologies to visually display detailed information about proposed business facilities. This visualization allows users to effectively select facilities. 【0807】 Users input schedule and location information into their devices and utilize sensors to measure their emotional state. This allows users to receive suggestions for optimal work facilities tailored to their psychological state. For example, if a user enters "Please suggest a relaxing work environment" as a prompt, the system will suggest the most suitable facility considering their emotional state. 【0808】 This configuration allows users to efficiently select work facilities that best consider their individual emotional state and work efficiency. The system based on this invention provides a practical solution to improve users' quality of life. 【0809】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0810】 Step 1: 【0811】 The user inputs their current location and schedule information into the device and wears a device to measure their emotional state. This sends the user's prepared location and schedule information, along with emotional data from the sensor, to the device as input data. The device then formats this data and prepares it for transmission to the server. 【0812】 Step 2: 【0813】 The device transmits location information, schedule information, and emotional state data received from the user to the server. This serves as input to the server. The device converts the data into an appropriate format and securely transmits it to the server via encrypted communication. 【0814】 Step 3: 【0815】 The server receives input data from the terminal and communicates with external information sources (e.g., weather APIs and traffic APIs) to obtain real-time traffic and weather information, as well as information on the availability of business facilities. This external data is combined with the user's input data and prepared for processing by the generative AI model. The server uses this as input data to integrate the external information and perform analysis using the generative AI model. 【0816】 Step 4: 【0817】 The server uses a generative AI model to suggest the optimal work facility, taking into account the user's emotional state based on integrated data. Specifically, if the user's emotional state is stressful, the model optimizes to prioritize relaxing facilities. The output of the generative AI model is a list of preferred work facilities. 【0818】 Step 5: 【0819】 The server sends the generated list of proposed work facilities to the terminal. This becomes the output to the terminal. The terminal receives the proposed results, which reflect real-time information and the user's status. 【0820】 Step 6: 【0821】 The terminal visually presents the user with a list of suggestions sent from the server. Using AR and VR technologies, the terminal allows the user to intuitively understand detailed information about the facilities. The user reviews the suggested facilities and selects the most suitable one. The terminal then prepares to send information based on this user selection back to the server. 【0822】 This processing flow allows users to receive suggestions for work facilities that best reflect their emotional state and external conditions, enabling them to optimize their work environment. 【0823】 (Application Example 2) 【0824】 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". 【0825】 In today's work environment, selecting the optimal facility based on the user's emotional state and real-time circumstances is essential for improving work efficiency and reducing stress. However, conventional systems are unable to adequately consider these factors, making it difficult to provide fully personalized recommendations to users. 【0826】 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. 【0827】 In this invention, the server includes means for inputting the user's current location information, schedule information, and emotional state data to propose the optimal work facility; means for acquiring facility availability and equipment information; means for collecting and analyzing real-time travel route information to calculate the optimal route; means for interacting with the user using natural language processing and generating personalized responses based on the emotional state; and means for predicting the optimal facility based on past usage history, productivity data, and emotional state data. This makes it possible to select the optimal work facility and propose a route that matches the user's emotional state. 【0828】 "User's current location information" refers to data that indicates the user's geographical location and is used to understand the situation in real time. 【0829】 "Schedule information" refers to data about the user's future activities and schedule, and is used to make highly relevant suggestions. 【0830】 "Emotional state data" refers to information used to analyze a user's psychological and emotional state. 【0831】 "Facility availability" refers to information indicating whether a particular facility is available for use, and is used to improve the accuracy of suggestions. 【0832】 "Facility information" refers to detailed information about the functions and conveniences available within a facility, contributing to the selection of facilities that meet the user's needs. 【0833】 "Real-time travel route information" refers to dynamic information that shows the shortest or most optimal route to reach a destination specified by the user. 【0834】 "Natural language processing" is a technology that enables computers to understand human language and engage in dialogue. 【0835】 Augmented reality is a technology that overlays digital information onto the real world environment. 【0836】 "Virtual reality" is a technology that immerses users in a virtual space created by a computer. 【0837】 "Past usage history" refers to data about the user's past behavior and facility usage, which is useful for predicting future behavior. 【0838】 "Productivity data" refers to information related to a user's work efficiency and performance. 【0839】 The system for implementing this invention consists of a terminal used by the user and a server located in the cloud. 【0840】 The device acquires current location information, schedule information, and emotional state data from the user. It also has the ability to analyze the emotional state in real time through built-in sensors and the user's self-reporting form, and transmit this data to a server. This enables the selection of the optimal facility based on the user's immediate state. The user interface for various inputs in natural language is provided as an application that runs on smartphones and smartwatches. 【0841】 The server receives data sent by users and uses real-time APIs (such as Amazon Web Services) to collect facility availability, equipment information, weather, and traffic information. The collected data is analyzed using programs such as Python, and a generative AI model is applied to predict the optimal business facility based on the user's past usage history, productivity data, and emotional state data. 【0842】 Based on the analysis results received from the server, the terminal uses augmented reality and virtual reality technologies to visually display facility information. Users can then select the most suitable facility from this information. 【0843】 For example, if a user inputs the instruction "I'm looking for a place to relax," the server analyzes the information in real time and provides options that match their emotional state, such as a quiet park or a calming cafe. This allows users to easily find the environment they are looking for. 【0844】 An example of a prompt for a generative AI model is, "What kind of facility is suitable when a user wants to relax?" 【0845】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0846】 Step 1: 【0847】 Users input their current location, schedule, and emotional state data using their smartphones. Real-time emotional data is collected via sensors or self-report forms and transmitted from the device to a server. The input data serves as basic information for selecting the most suitable facility based on the user's emotional state. 【0848】 Step 2: 【0849】 The server receives current location and schedule information sent by the user. Simultaneously, it collects real-time facility availability, equipment information, weather information, and traffic information via an external API. This data is used as an analytical platform for selecting the most suitable facility. 【0850】 Step 3: 【0851】 The server combines all received data and uses a generative AI model to suggest facilities based on the user's emotional state, past usage history, and productivity data. Python and other languages ​​are used for data processing, and an algorithm is applied to predict the optimal work environment for the user based on emotional data and productivity indicators. 【0852】 Step 4: 【0853】 The server generates information on optimal facilities and sends it to the terminal, visualizing the best recommendations. The terminal then presents the received recommendation information to the user using augmented reality or virtual reality. This visualization allows users to intuitively understand the availability and details of the facilities offered. 【0854】 Step 5: 【0855】 Based on visualized information, users select the facility best suited to their emotional state. Based on their selection, they receive route guidance tailored to their subsequent plans. In this way, users can efficiently perform their tasks in an environment best suited to their needs. 【0856】 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. 【0857】 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. 【0858】 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. 【0859】 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. 【0860】 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. 【0861】 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. 【0862】 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. 【0863】 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. 【0864】 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." 【0865】 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. 【0866】 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. 【0867】 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. 【0868】 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. 【0869】 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. 【0870】 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. 【0871】 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. 【0872】 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. 【0873】 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. 【0874】 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. 【0875】 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. 【0876】 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. 【0877】 The following is further disclosed regarding the embodiments described above. 【0878】 (Claim 1) 【0879】 A method for inputting the user's current location and schedule information to suggest the most suitable work facility, 【0880】 A means of obtaining facility availability and equipment information, 【0881】 A means for collecting and analyzing real-time travel path information to calculate the optimal path, 【0882】 A means of interacting with the user through natural language processing, 【0883】 A means of visually displaying facility information using augmented reality or virtual reality, 【0884】 A method for predicting the optimal facility based on past usage history and productivity data, 【0885】 A system that includes this. 【0886】 (Claim 2) 【0887】 The system according to claim 1, further comprising means for optimizing the travel route by taking real-time weather information into consideration. 【0888】 (Claim 3) 【0889】 The system according to claim 1, further comprising means for identifying the most suitable business facility and generating a response based on instructions given by a user who inputs natural language. 【0890】 "Example 1" 【0891】 (Claim 1) 【0892】 A method for inputting the user's current location and schedule information to suggest the most suitable work facility, 【0893】 A means of obtaining facility availability and equipment information, 【0894】 A means for collecting and analyzing real-time travel path information to calculate the optimal path, 【0895】 A means of interacting with the user through natural language processing, 【0896】 A means of visually displaying facility information using augmented reality or virtual reality, 【0897】 A method for predicting the optimal facility based on past usage history and productivity data, 【0898】 A means of sending natural language input from a user as a prompt to a generating AI model to identify business facilities that meet the specified conditions, 【0899】 A system that includes this. 【0900】 (Claim 2) 【0901】 The system according to claim 1, further comprising means for optimizing the travel route by taking real-time weather information into consideration. 【0902】 (Claim 3) 【0903】 The system according to claim 1, further comprising means for identifying the most suitable business facility and generating a response based on instructions given by a user who inputs natural language. 【0904】 "Application Example 1" 【0905】 (Claim 1) 【0906】 A method for inputting the user's current location and schedule information to suggest the optimal workspace, 【0907】 A means of obtaining facility availability and equipment information, 【0908】 A means for collecting and analyzing real-time travel path information to calculate the optimal path, 【0909】 A means of interacting with the user through natural language processing, 【0910】 A means of visually displaying workspace information using augmented reality or virtual reality, 【0911】 A means of predicting the optimal work area based on past usage history and productivity data, 【0912】 A means of receiving instructions via the user's input device and dynamically updating the suggested work area in real time, 【0913】 A system that includes this. 【0914】 (Claim 2) 【0915】 The system according to claim 1, further comprising means for optimizing the travel path in taking real-time environmental conditions into consideration. 【0916】 (Claim 3) 【0917】 The system according to claim 1, further comprising means for identifying an optimal work area based on instructions given by a user who inputs natural language, and for generating a response. 【0918】 "Example 2 of combining an emotion engine" 【0919】 (Claim 1) 【0920】 A means of measuring the emotional state by inputting the user's current location information and schedule information, 【0921】 A method for proposing the optimal work facility based on the user's emotional state using a generative AI model, 【0922】 A means of obtaining facility availability and equipment information from external sources, 【0923】 A means for collecting real-time travel information and weather information and calculating the optimal travel route, 【0924】 A means of engaging in dialogue based on user instructions using natural language processing, 【0925】 A means of visually presenting detailed information about the facility using augmented reality or virtual reality, 【0926】 A method for predicting the optimal facility by analyzing past usage history and productivity indicators, 【0927】 A means of monitoring emotional states in real time and updating suggestions accordingly, 【0928】 A system that includes this. 【0929】 (Claim 2) 【0930】 The system according to claim 1, which simultaneously considers real-time weather information and the user's emotional state to optimize the travel route. 【0931】 (Claim 3) 【0932】 The system according to claim 1, wherein the user inputs natural language, and a generated AI model is used to identify the optimal business facility based on that input and generate a response. 【0933】 "Application example 2 when combining with an emotional engine" 【0934】 (Claim 1) 【0935】 A means of inputting the user's current location information, schedule information, and emotional state data to suggest the most suitable work facility, 【0936】 A means of obtaining facility availability and equipment information, 【0937】 A means for collecting and analyzing real-time travel path information to calculate the optimal path, 【0938】 A means of interacting with the user using natural language processing and generating personalized responses based on their emotional state, 【0939】 A means of visually displaying facility information using augmented reality or virtual reality, 【0940】 A means of predicting the optimal facility based on past usage history, productivity data, and emotional state data, 【0941】 A system that includes this. 【0942】 (Claim 2) 【0943】 The system according to claim 1, further comprising means for optimizing the travel route based on the user's emotional state, taking real-time weather information into consideration. 【0944】 (Claim 3) 【0945】 The system according to claim 1, further comprising means for a user to input an emotional state, for identifying the most suitable work facility based on that state, and for generating a response. [Explanation of symbols] 【0946】 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 method for inputting the user's current location and schedule information to suggest the most suitable work facility, A means of obtaining facility availability and equipment information, A means for collecting and analyzing real-time travel path information to calculate the optimal path, A means of interacting with the user through natural language processing, A means of visually displaying facility information using augmented reality or virtual reality, A method for predicting the optimal facility based on past usage history and productivity data, A system that includes this. [Claim 2] The system according to claim 1, further comprising means for optimizing the travel route in taking real-time weather information into consideration. [Claim 3] The system according to claim 1, further comprising means for identifying the most suitable business facility and generating a response based on instructions given by a user who inputs natural language.

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