system

Abstract

We provide the system. [Solution] A means of receiving information about moving entered by the user, A means for analyzing the received information and identifying the necessary procedures based on the user's request, Based on the identified procedures, the system automatically contacts the vendor and initiates contract termination and new contracts. A means of notifying the user of the progress of the procedure, 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】 The procedures for canceling various services and signing new contracts required when moving are time-consuming and labor-intensive, and are very cumbersome for users. In particular, it is necessary to contact each service provider individually, and there is a problem that it is difficult for users to complete the move efficiently. There is a need for a technology that can efficiently solve such problems and reduce the burden on users. 【Means for Solving the Problems】 【0005】 This system receives moving-related information entered by users, analyzes it, and identifies the necessary procedures based on the user's requests. Based on the analysis, the system can automatically contact moving companies and handle contract cancellations and new contracts. It also includes a function to notify users of the progress of the procedures, simplifying the complex moving process and enabling efficient completion. 【0006】 A "user" is the entity that uses the system and inputs information related to moving. 【0007】 "Inputted information" refers to data that the user provides to the system regarding their move, such as address, date, and desired conditions. 【0008】 "Analysis" is the process of identifying user requests and necessary procedures based on the received information. 【0009】 "Procedure" refers to the termination and new contracting of service agreements, and is an action that changes the operation of various services related to a user's relocation. 【0010】 A "provider" is a business that provides services to users, such as electricity, gas, and the internet. 【0011】 "Notifying" refers to the act of a system informing a user of the progress of a procedure or other necessary information. 【0012】 "Automatically" refers to a system operating autonomously based on a program, without requiring human intervention. 【0013】 A "plan" refers to a selection of service options and pricing structures offered by various providers, tailored to the user's needs. [Brief explanation of the drawing] 【0014】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined. 【Mode for Carrying Out the Invention】 【0015】 Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0016】 First, the terms used in the following description will be explained. 【0017】 In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0018】 In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0019】 In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0020】 In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like. 【0021】 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." 【0022】 [First Embodiment] 【0023】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0024】 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. 【0025】 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). 【0026】 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. 【0027】 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. 【0028】 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. 【0029】 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. 【0030】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0031】 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. 【0032】 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. 【0033】 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. 【0034】 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". 【0035】 To implement this invention, the process begins with the user using a terminal to input information about their move. The terminal correctly formats this information and sends it to a server. The server uses an AI agent to analyze the user's information and requests. The AI ​​agent uses natural language processing to identify the services the user desires and the procedures involved in the move. 【0036】 Next, the server automatically uses a communication module to contact the necessary vendors. The vendors are instructed to cancel the current contract and enter into a new contract at the new address. This communication is efficiently carried out via email or API. When a contract is finalized or progress is made, the server collects this information and notifies the user. 【0037】 As a concrete example, consider a user who needs to renew their electricity, gas, and internet services when moving to a new address. The user enters the necessary information on their device, and the server automatically cancels the service at their current address, selects available services at their new address, and completes the contract. The user is notified of the progress through their device, so they always know what step to take next. This series of procedures allows the user to move smoothly without feeling burdened. 【0038】 The following describes the processing flow. 【0039】 Step 1: 【0040】 The user enters information about their move (current address, new address, desired services, moving date, etc.) via their device. 【0041】 Step 2: 【0042】 The terminal verifies the information entered by the user and sends the correctly formatted data to the server. During the formatting process, it checks the input format and whether or not there are required fields. 【0043】 Step 3: 【0044】 The server saves the received information to the database. At this time, the integrity of the information is checked, and it is confirmed that there are no duplicates or inconsistencies with existing data. 【0045】 Step 4: 【0046】 The server activates an AI agent and analyzes the user's input. The AI ​​agent uses natural language processing technology to analyze the user's wishes and required services. 【0047】 Step 5: 【0048】 Based on the analysis results, the server uses a communication module to contact vendors and carry out necessary contract cancellation and new contract procedures. 【0049】 Step 6: 【0050】 The server receives feedback from the vendor and updates the necessary tasks for the next step based on that feedback. The feedback includes contract details and any additional information that may be needed. 【0051】 Step 7: 【0052】 The server organizes the status and progress of the process, identifies the next action the user should take, and notifies them via their device. This notification includes information on completed procedures and advice regarding any incomplete steps. 【0053】 (Example 1) 【0054】 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." 【0055】 The aim is to reduce the complexity of users having to individually handle various procedures when changing their work location, and to efficiently and quickly complete the necessary contracts in the new environment. Traditionally, these processes required procedures with each individual organization, which was very time-consuming. 【0056】 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. 【0057】 In this invention, the server includes means for receiving information provided by the user, means for analyzing the information and identifying procedures using a generated AI model, means for automatically contacting third-party organizations and proceeding with contract termination and new procedures, and means for informing the user of the progress of the procedures. This enables the user to smoothly complete a series of procedures related to changing their operating location without feeling burdened. 【0058】 "Information regarding changes in operating location" refers to detailed information that users provide when moving or transferring jobs, such as their old and new addresses, communication methods, and desired migration date. 【0059】 A "generative AI model" refers to an artificial intelligence framework used to analyze input information and automatically determine and identify requirements in a way that does not require human interpretation. 【0060】 A "third-party organization" refers to an organization or company that provides services, such as an electricity company, telecommunications carrier, or gas company with which the user has a contract. 【0061】 "Electronic messaging" refers to methods of sending and receiving information in digital format, such as email and text messages. 【0062】 An "electronic information exchange interface" refers to a communication method for exchanging data with external systems and services through programs. 【0063】 "Digital communication methods" refer to means of sending, receiving, or exchanging information using communication technologies and protocols that utilize the Internet. 【0064】 A "business plan" refers to the optimal service plan and contract details based on user needs, and indicates the combination of services and products offered. 【0065】 For this invention to be implemented, it is first necessary for the user to input information regarding a change of location using a terminal. The information entered by the user includes the old and new addresses, the desired migration date, and the selection of necessary services. The terminal formats this information appropriately and transmits it to the server. 【0066】 The server performs data analysis using a generative AI model based on the received information. Specifically, a generative AI model capable of natural language processing (e.g., GPT-4®) is used. The AI ​​model interprets the user's requests and identifies necessary relationships with third-party organizations. At this stage, an optimal business plan based on the user's requests is formulated. 【0067】 Once the analysis is complete, the server automatically contacts third-party organizations via an electronic information exchange interface. This includes protocols that use APIs to contact electricity and telecommunications service providers through digital communication means. This allows for the rapid termination of existing contracts and the establishment of new ones. 【0068】 The server continuously monitors the progress of the contract procedures and notifies the user's terminal of this information. The user can check the progress of the procedures through their terminal and take additional steps as needed. 【0069】 As a concrete example, consider the procedure for changing electricity and internet contracts when a user moves. The user enters their new address and relocation date into their device, the server receives this information, analyzes it using an AI model, and then notifies the power company and internet provider via an API. As a result of this process, the user receives the necessary services at their new address without any special procedures. 【0070】 An example of a prompt message would be: "Please explain what information the user needs to enter and how they should renew their service and contract to ensure a smooth move." 【0071】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0072】 Step 1: 【0073】 The user uses a terminal to enter the necessary information regarding the change of location. This data includes the old and new addresses, the desired migration date, and the types of services that need updating. The terminal verifies and formats the entered information. The data is then prepared for transmission to the server. 【0074】 Step 2: 【0075】 The terminal sends the formatted data to the server. The server receives this data and verifies the accuracy of the input information. Based on the received information, it appropriately formats the data so that the AI ​​model can begin analysis. 【0076】 Step 3: 【0077】 The server uses a generative AI model to analyze the received information. Input data is fed into the AI ​​model, and natural language processing is performed to analyze the user's requests in detail. As a result, services that need to be terminated and services that require a new contract are identified. The output is a list of services that meet the user's requests. 【0078】 Step 4: 【0079】 The server automatically contacts third-party organizations based on the identified service. Specifically, it uses an electronic information exchange interface (API) to contact service providers. This contact initiates the termination and renewal of service contracts. The output here confirms that the communication from the third-party organization has been successfully received. 【0080】 Step 5: 【0081】 The server continuously monitors the progress of each procedure. It receives responses and procedure completion reports from service providers and uses this information to send notifications to users. The output includes the progress status of the procedures, which is notified to users in real time. 【0082】 Step 6: 【0083】 Users receive notifications through their devices and can check the progress of the process. The device displays the received notifications and, if necessary, recommends the next action the user should take. Based on this information, users can confidently proceed with migrating to the new location. 【0084】 (Application Example 1) 【0085】 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." 【0086】 The challenge is to eliminate user effort and prevent incorrect orders by automatically selecting the optimal menu based on user preferences and allergy information when ordering food, and efficiently managing the ordering and progress. 【0087】 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. 【0088】 In this invention, the server includes means for receiving information about food orders entered by a user, means for analyzing the received information and suggesting the most suitable food items based on the user's preferences, means for automatically generating an order based on the suggested food items, and means for notifying the user of the order's progress. This enables food selection that takes user preferences into account and efficient order management. 【0089】 A "user" is an individual or group that enters information about food orders and receives suggestions based on their preferences. 【0090】 "Food order information" refers to user-entered information such as dietary preferences, allergy information, past order history, and other related information. 【0091】 A "server" is a computer system that receives and analyzes information from users. 【0092】 "Suggesting the optimal food" refers to the process of selecting and providing the most suitable menu based on the user's input information. 【0093】 "Automatically generating orders" means mechanically creating order information based on suggested food items. 【0094】 "Notifying users of progress" means communicating the status and changes of orders to users in real time. 【0095】 The system that implements this application primarily consists of a client device, a smartphone, and a cloud-based server. The server runs a natural language processing model using TENSORFLOW®, which analyzes information about food orders entered by the user. 【0096】 When a user enters information about their food order using their smartphone, the device sends this information to a cloud-based server. The server uses a generative AI model based on TensorFlow to analyze the data, understand the user's preferences, and suggest the most suitable food menu. This AI model takes into account the user's past order history, allergy information, and food preferences to generate the most appropriate food options. 【0097】 Based on the food items selected through analysis, the server automatically generates a food order. It also notifies the user in real time of the progress and delivery status of this generated order. Users can always monitor the progress of their food orders via their smartphones. 【0098】 For example, if a user enters "I have a peanut allergy," this information is analyzed by the AI ​​model, and the most suitable menu without peanuts is suggested. An example of a prompt message would be: "The user has entered allergy information and food preferences. Based on this information, please suggest alternative food options that suit the user's preferences." 【0099】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0100】 Step 1: 【0101】 Users use their smartphones to input information related to their food orders, such as allergy information and dietary preferences. The device then sends this information to a server. This input is received by the server as text data. 【0102】 Step 2: 【0103】 The server analyzes the received information. In this process, it utilizes a generative AI model based on TensorFlow. The AI ​​model processes user preference data and converts each data point into a vector representation. The data processing performed here is natural language processing. 【0104】 Step 3: 【0105】 Based on the analysis results, the server suggests the most suitable food menu for the user. The AI ​​model selects menus that meet specific constraints and preferences from the input data and lists them as suggested options. This process involves referencing a vast food database to extract choices that match the criteria. 【0106】 Step 4: 【0107】 The server automatically generates an order based on the suggested food menu. This generation process creates new order data containing the selected food items and sends it to the user and the relevant food delivery service. 【0108】 Step 5: 【0109】 The server retrieves order progress information from food delivery providers and notifies the user. This process uses an API to obtain real-time delivery status and notifies the user via a smartphone app. The delivery status and estimated arrival time are displayed on the screen. 【0110】 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. 【0111】 This invention provides a system that not only efficiently processes user relocation-related information but also utilizes an emotion engine to detect user emotions and improve the user experience. 【0112】 Users input relocation information through a terminal, and an emotion engine is integrated into this process. The emotion engine estimates the user's emotional state based on their input and actions. Based on this emotional information, the server can dynamically adjust the user interface to provide more appropriate information. For example, if the system determines that the user is experiencing stress, it can suggest simplifying the process. 【0113】 Furthermore, feedback from the emotion engine is incorporated into the process by which the server receives information from the user and analyzes the necessary procedures, providing the user with emotionally sensitive feedback and notifications. Even in communication procedures with vendors, communication is conducted at the optimal timing and in the most appropriate manner, taking the user's emotions into consideration. 【0114】 For example, if a user is feeling anxious about scheduling their move, the emotion engine can detect this anxiety. As a result, the server can display a simple and specific step-by-step guide related to the move on the user's device to reassure them and encourage a smooth process. In this way, users can proceed with the moving process smoothly without feeling any unnecessary burden. 【0115】 The following describes the processing flow. 【0116】 Step 1: 【0117】 The user enters information about their move via their device. This information includes their new address, moving date, and desired services. 【0118】 Step 2: 【0119】 The device uses an emotion engine to determine the user's emotional state based on their input actions and word choices. It detects stress, anxiety, comfort, and other emotional states. 【0120】 Step 3: 【0121】 The device sends emotional information determined by the emotion engine to the server, and also correctly formats and sends the user-entered relocation information to the server. 【0122】 Step 4: 【0123】 The server processes the received information and adjusts the user interface based on the user's emotional state. If the user is stressed, it presents options to simplify operations or designs that promote relaxation. 【0124】 Step 5: 【0125】 The server activates an AI agent to analyze the moving information submitted by the user. It identifies the necessary procedures, cancellations, and new contracts, and prepares to contact the moving company. 【0126】 Step 6: 【0127】 The server takes emotional feedback into account and optimizes the timing and method of communication with vendors. For example, it might send notifications when the user is relaxed. 【0128】 Step 7: 【0129】 The server organizes the progress of the procedure, creates an emotionally sensitive notification, and sends it to the user via the terminal. The notification includes specific steps to take next and a message designed to reassure the user. 【0130】 (Example 2) 【0131】 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." 【0132】 Moving is a complex and stressful process, requiring users to manage information appropriately while minimizing their psychological burden. However, conventional moving-related systems often fail to consider the user's emotional state, resulting in a poor user experience. The problem this invention aims to solve is to provide support tailored to the user's emotional state, enabling a smooth and stress-free moving process. 【0133】 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. 【0134】 In this invention, the server includes means for analyzing information and operation history related to the move entered by the user and performing emotion estimation; means for dynamically adjusting the user interface based on the results of the emotion estimation; and means for making optimal suggestions in response to user requests based on the analyzed information and emotion information. This enables a smooth moving process that takes into account the user's emotional state. 【0135】 A "user" refers to an individual or organization that uses the system to complete the relocation process. 【0136】 "Information" refers to data related to moving that the user enters into the system, including dates, locations, and types of belongings. 【0137】 "Operation history" refers to a record of a series of operations performed by a user on their device. 【0138】 "Emotion estimation" is the process of analyzing and inferring a user's emotional state based on input information and operation history. 【0139】 "User interface" refers to the screen display and control system used by a user to interact with a system. 【0140】 "Dynamic adjustment" refers to the act of changing the user interface in real time to present information and operating procedures that match the user's emotional state. 【0141】 "Optimal proposals" mean providing users with the most beneficial and efficient procedures and information. 【0142】 "Service provider" refers to a company or organization that provides services related to moving. 【0143】 "Electronic communication methods" refer to digital forms of communication with vendors, including email and APIs. 【0144】 To implement this invention, a server, terminal, and user work together to form a system. The user inputs moving-related information through the terminal, and the system uses an emotion engine to analyze the input data and operation history. In this process, the terminal incorporates emotion engine software that utilizes natural language processing and machine learning technologies. This emotion engine estimates the user's emotional state using a generative AI model. 【0145】 The server dynamically adjusts the user interface based on this emotional information. Specifically, if it detects that the user is feeling anxious or stressed, it displays a simple guide or advice tailored to that state. Furthermore, the server generates personalized and optimal suggestions based on the emotional information and automatically proceeds with the contract procedures with the moving company. This allows the user to complete the moving process more comfortably and efficiently. 【0146】 For example, if a user inputs information such as "I'm feeling anxious about scheduling my move," the emotion engine will detect this anxiety, and the server will then display a guide titled "Key Points for Moving Procedures" on the device based on that information. This guide details the preparation list and confirmation items for the day of the move. This function is implemented by giving the AI ​​model a prompt such as, "When the user is feeling anxious, please provide a guide that concisely explains the moving procedures." 【0147】 This configuration enhances the user experience and enables flexible responses that respond to emotions. 【0148】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0149】 Step 1: 【0150】 The user enters information about their move using a terminal. This includes the moving date, destination, and details of their belongings. The terminal stores this information as initial data within the system. The entered data is then passed directly to the next processing step. 【0151】 Step 2: 【0152】 An emotion engine built into the device analyzes the user's input and operation history to estimate the user's emotional state. Specifically, natural language processing technology is used to analyze text data, and a generative AI model quantifies emotions. As output, the user's emotional state (e.g., stress, anxiety, tension) is assigned as a tag. 【0153】 Step 3: 【0154】 Emotional information and entered relocation information are sent from the terminal to the server. The server receives this data and prepares to dynamically adjust the user interface. Specifically, it sets flags to reflect information about the emotional state in the UI and prepares to pass the information to the next step. 【0155】 Step 4: 【0156】 The server dynamically adjusts the user interface based on emotional information. For example, if the system detects that the user is feeling anxious, it displays a simplified guide to the procedure. This generates an interface that explains the steps of the procedure in detail, allowing the user to proceed with confidence. 【0157】 Step 5: 【0158】 The server generates optimal suggestions based on information from the user. In doing so, it also considers the user's emotional state, prioritizing suggestions that minimize the user's mental burden. Specifically, it presents simplified options to make selection easier for the user. 【0159】 Step 6: 【0160】 The server automatically contacts service providers based on the optimal recommendation. It sends necessary information to service providers via email or API, and moves the moving-related contract forward. The timing of communication is also taken into consideration, taking into account the user's emotional state. 【0161】 Step 7: 【0162】 The server notifies the user of the progress of the procedure. The notification includes emotionally sensitive messages and uses language that reduces user anxiety. This allows the user to always know the progress of the procedure. 【0163】 (Application Example 2) 【0164】 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". 【0165】 Moving involves numerous procedures and adjustments, often placing a significant psychological burden on users. In particular, there is concern that users may experience stress and anxiety, so a system that takes these emotions into consideration is necessary. Furthermore, while streamlining and improving the efficiency of the process, the user interface must be adjustable to individual circumstances. 【0166】 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. 【0167】 In this invention, the server includes means for receiving information about moving entered by the user; means for analyzing the received information and identifying the necessary procedures based on the user's requests; means for estimating the user's emotional state using an emotion engine; means for automatically contacting service providers and terminating or renewing contracts based on the identified procedures and the user's emotional state; means for providing a user interface dynamically adjusted based on the user's emotions; and means for notifying the user of the progress of the procedures. This enables flexible and efficient moving support that takes the user's emotions into consideration. 【0168】 A "user" is an individual or user who enters moving-related information into the system and receives feedback and services in return. 【0169】 "Means for receiving information" refers to an interface or device for obtaining data and requests related to relocation from the user. 【0170】 "Means of analyzing information and identifying procedures" refers to the process of analyzing received data and determining the necessary procedures and actions based on its content. 【0171】 An "emotion engine" is an algorithm or system used to estimate a user's psychological state from their input data and actions. 【0172】 The "means of automatically contacting service providers and terminating or entering into new contracts" refers to a function that, based on analyzed procedures, directly communicates with the appropriate service provider and automatically performs the necessary contract adjustments. 【0173】 A "dynamically responsive user interface" is an interactive screen or control system in which the displayed content and operation methods change according to the user's emotional state. 【0174】 "Means of notifying users of the progress of a procedure" refers to methods or functions for informing users of the current status and progress of the work. 【0175】 The system for carrying out this invention is designed to improve the user's moving experience. This system includes multiple elements to provide a seamless service based on the user's emotional state. 【0176】 Specifically, users input information about their move through household robots or smart devices. This information is sent to and received by a server. The server uses an emotion engine to estimate the user's emotional state and analyzes the data. In this process, speech recognition technologies such as Google® Speech Recognition are used to convert the voice-input information into text data. Furthermore, Microsoft® Azure® sentiment analysis APIs are used to understand the user's psychological state. 【0177】 Based on the analysis results, the server identifies the necessary procedures and automatically contacts vendors via email or API. This ensures efficient contract termination and new contracts. Furthermore, the server dynamically adjusts the user interface according to the user's emotions, providing information in an easily understandable format. 【0178】 For example, if a user says something like, "I can't finish packing," the emotion engine will estimate a high stress level. In response, the user interface will display a reassuring message and present the tasks in a hierarchical structure. Furthermore, using a generative AI model, prompts such as, "When you detect that a user is feeling anxious about preparing for their move, please come up with an appropriate suggestion plan to cheer them up," will be used to provide supportive measures that are tailored to the user's needs. 【0179】 In this way, the entire system reduces the stress users experience when moving and provides an environment where they can complete the process smoothly. 【0180】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0181】 Step 1: 【0182】 Users input information about their move using voice commands via home robots or smart devices. The input voice data is captured by the device and converted into text data by Google Speech Recognition. This allows the information obtained from the voice to be sent to the server as text. 【0183】 Step 2: 【0184】 The server receives the relocation information in text format. The received information is input into Microsoft Azure's Sentiment Analysis API to estimate the user's emotional state through the emotion engine. The API analyzes the text content and outputs the user's psychological state as emotion data to the server. At this stage, emotional indicators such as stress and anxiety are obtained. 【0185】 Step 3: 【0186】 Based on analyzed moving information and sentiment data, the server identifies the necessary procedures to meet the user's needs. Specifically, it determines whether a contract needs to be terminated or a new contract is required, and decides what to communicate with the appropriate service provider. This process is carried out through cross-referencing of information by the server, and the relevant procedures are output. 【0187】 Step 4: 【0188】 Based on the identified procedure, the server automatically initiates communication with the vendor. It contacts the vendor via email or API to terminate existing contracts or enter into new ones. During this step, details of the communication and contract changes are transmitted electronically. 【0189】 Step 5: 【0190】 The server dynamically adjusts the user interface according to the user's emotional state, providing information displayed on the terminal in an appropriate manner. For example, if the user is feeling anxious, the server instructs the terminal to display reassuring messages or support guides. This allows the user to proceed with the process with peace of mind. 【0191】 Step 6: 【0192】 The device notifies the user of the status of ongoing procedures. The progress of the procedure is reported via push notifications and screen displays, linked to the user's emotional state. This information provision allows the user to always be aware of the current progress. 【0193】 Step 7: 【0194】 The server uses a generative AI model to generate appropriate responses and action plans based on the user's emotions. Further support is provided to the user by presenting the generated suggestions on the device via prompt messages. A specific example of a generative AI model might include prompts such as, "If the server detects that the user is feeling anxious about moving, please come up with an appropriate suggestion plan to cheer them up." 【0195】 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. 【0196】 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. 【0197】 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. 【0198】 [Second Embodiment] 【0199】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0200】 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. 【0201】 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). 【0202】 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. 【0203】 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. 【0204】 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). 【0205】 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. 【0206】 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. 【0207】 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. 【0208】 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. 【0209】 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. 【0210】 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". 【0211】 To implement this invention, the process begins with the user using a terminal to input information about their move. The terminal correctly formats this information and sends it to a server. The server uses an AI agent to analyze the user's information and requests. The AI ​​agent uses natural language processing to identify the services the user desires and the procedures involved in the move. 【0212】 Next, the server automatically uses a communication module to contact the necessary vendors. The vendors are instructed to cancel the current contract and enter into a new contract at the new address. This communication is efficiently carried out via email or API. When a contract is finalized or progress is made, the server collects this information and notifies the user. 【0213】 As a concrete example, consider a user who needs to renew their electricity, gas, and internet services when moving to a new address. The user enters the necessary information on their device, and the server automatically cancels the service at their current address, selects available services at their new address, and completes the contract. The user is notified of the progress through their device, so they always know what step to take next. This series of procedures allows the user to move smoothly without feeling burdened. 【0214】 The following describes the processing flow. 【0215】 Step 1: 【0216】 The user enters information about their move (current address, new address, desired services, moving date, etc.) via their device. 【0217】 Step 2: 【0218】 The terminal verifies the information entered by the user and sends the correctly formatted data to the server. During the formatting process, it checks the input format and whether or not there are required fields. 【0219】 Step 3: 【0220】 The server saves the received information to the database. At this time, the integrity of the information is checked, and it is confirmed that there are no duplicates or inconsistencies with existing data. 【0221】 Step 4: 【0222】 The server activates an AI agent and analyzes the user's input. The AI ​​agent uses natural language processing technology to analyze the user's wishes and required services. 【0223】 Step 5: 【0224】 Based on the analysis results, the server uses a communication module to contact vendors and carry out necessary contract cancellation and new contract procedures. 【0225】 Step 6: 【0226】 The server receives feedback from the vendor and updates the necessary tasks for the next step based on that feedback. The feedback includes contract details and any additional information that may be needed. 【0227】 Step 7: 【0228】 The server organizes the status and progress of the process, identifies the next action the user should take, and notifies them via their device. This notification includes information on completed procedures and advice regarding any incomplete steps. 【0229】 (Example 1) 【0230】 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". 【0231】 The aim is to reduce the complexity of users having to individually handle various procedures when changing their work location, and to efficiently and quickly complete the necessary contracts in the new environment. Traditionally, these processes required procedures with each individual organization, which was very time-consuming. 【0232】 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. 【0233】 In this invention, the server includes means for receiving information provided by the user, means for analyzing the information and identifying procedures using a generated AI model, means for automatically contacting third-party organizations and proceeding with contract termination and new procedures, and means for informing the user of the progress of the procedures. This enables the user to smoothly complete a series of procedures related to changing their operating location without feeling burdened. 【0234】 "Information regarding changes in operating location" refers to detailed information that users provide when moving or transferring jobs, such as their old and new addresses, communication methods, and desired migration date. 【0235】 A "generative AI model" refers to an artificial intelligence framework used to analyze input information and automatically determine and identify requirements in a way that does not require human interpretation. 【0236】 A "third-party organization" refers to an organization or company that provides services, such as an electricity company, telecommunications carrier, or gas company with which the user has a contract. 【0237】 "Electronic messaging" refers to methods of sending and receiving information in digital format, such as email and text messages. 【0238】 An "electronic information exchange interface" refers to a communication method for exchanging data with external systems and services through programs. 【0239】 "Digital communication methods" refer to means of sending, receiving, or exchanging information using communication technologies and protocols that utilize the Internet. 【0240】 A "business plan" refers to the optimal service plan and contract details based on user needs, and indicates the combination of services and products offered. 【0241】 For this invention to be implemented, it is first necessary for the user to input information regarding a change of location using a terminal. The information entered by the user includes the old and new addresses, the desired migration date, and the selection of necessary services. The terminal formats this information appropriately and transmits it to the server. 【0242】 The server performs data analysis using a generative AI model based on the received information. Specifically, a generative AI model capable of natural language processing (e.g., GPT-4) is used. The AI ​​model interprets the user's requests and identifies necessary relationships with third-party organizations. At this stage, an optimal business plan based on the user's requests is formulated. 【0243】 Once the analysis is complete, the server automatically contacts third-party organizations via an electronic information exchange interface. This includes protocols that use APIs to contact electricity and telecommunications service providers through digital communication means. This allows for the rapid termination of existing contracts and the establishment of new ones. 【0244】 The server continuously monitors the progress of the contract procedures and notifies the user's terminal of this information. The user can check the progress of the procedures through their terminal and take additional steps as needed. 【0245】 As a concrete example, consider the procedure for changing electricity and internet contracts when a user moves. The user enters their new address and relocation date into their device, the server receives this information, analyzes it using an AI model, and then notifies the power company and internet provider via an API. As a result of this process, the user receives the necessary services at their new address without any special procedures. 【0246】 An example of a prompt message would be: "Please explain what information the user needs to enter and how they should renew their service and contract to ensure a smooth move." 【0247】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0248】 Step 1: 【0249】 The user uses a terminal to enter the necessary information regarding the change of location. This data includes the old and new addresses, the desired migration date, and the types of services that need updating. The terminal verifies and formats the entered information. The data is then prepared for transmission to the server. 【0250】 Step 2: 【0251】 The terminal sends the formatted data to the server. The server receives this data and verifies the accuracy of the input information. Based on the received information, it appropriately formats the data so that the AI ​​model can begin analysis. 【0252】 Step 3: 【0253】 The server uses a generative AI model to analyze the received information. Input data is fed into the AI ​​model, and natural language processing is performed to analyze the user's requests in detail. As a result, services that need to be terminated and services that require a new contract are identified. The output is a list of services that meet the user's requests. 【0254】 Step 4: 【0255】 The server automatically contacts third-party organizations based on the identified service. Specifically, it uses an electronic information exchange interface (API) to contact service providers. This contact initiates the termination and renewal of service contracts. The output here confirms that the communication from the third-party organization has been successfully received. 【0256】 Step 5: 【0257】 The server continuously monitors the progress of each procedure. It receives responses and procedure completion reports from service providers and uses this information to send notifications to users. The output includes the progress status of the procedures, which is notified to users in real time. 【0258】 Step 6: 【0259】 Users receive notifications through their devices and can check the progress of the process. The device displays the received notifications and, if necessary, recommends the next action the user should take. Based on this information, users can confidently proceed with migrating to the new location. 【0260】 (Application Example 1) 【0261】 Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal." 【0262】 The challenge is to eliminate user effort and prevent incorrect orders by automatically selecting the optimal menu based on user preferences and allergy information when ordering food, and efficiently managing the ordering and progress. 【0263】 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. 【0264】 In this invention, the server includes means for receiving information about food orders entered by a user, means for analyzing the received information and suggesting the most suitable food items based on the user's preferences, means for automatically generating an order based on the suggested food items, and means for notifying the user of the order's progress. This enables food selection that takes user preferences into account and efficient order management. 【0265】 A "user" is an individual or group that enters information about food orders and receives suggestions based on their preferences. 【0266】 "Food order information" refers to user-entered information such as dietary preferences, allergy information, past order history, and other related information. 【0267】 A "server" is a computer system that receives and analyzes information from users. 【0268】 "Suggesting the optimal food" refers to the process of selecting and providing the most suitable menu based on the user's input information. 【0269】 "Automatically generating orders" means mechanically creating order information based on suggested food items. 【0270】 "Notifying users of progress" means communicating the status and changes of orders to users in real time. 【0271】 The system that implements this application primarily consists of a client device, a smartphone, and a cloud-based server. The server runs a natural language processing model using TensorFlow, which analyzes information about food orders entered by the user. 【0272】 When a user enters information about their food order using their smartphone, the device sends this information to a cloud-based server. The server uses a generative AI model based on TensorFlow to analyze the data, understand the user's preferences, and suggest the most suitable food menu. This AI model takes into account the user's past order history, allergy information, and food preferences to generate the most appropriate food options. 【0273】 Based on the food items selected through analysis, the server automatically generates a food order. It also notifies the user in real time of the progress and delivery status of this generated order. Users can always monitor the progress of their food orders via their smartphones. 【0274】 For example, if a user enters "I have a peanut allergy," this information is analyzed by the AI ​​model, and the most suitable menu without peanuts is suggested. An example of a prompt message would be: "The user has entered allergy information and food preferences. Based on this information, please suggest alternative food options that suit the user's preferences." 【0275】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0276】 Step 1: 【0277】 Users use their smartphones to input information related to their food orders, such as allergy information and dietary preferences. The device then sends this information to a server. This input is received by the server as text data. 【0278】 Step 2: 【0279】 The server analyzes the received information. In this process, it utilizes a generative AI model based on TensorFlow. The AI ​​model processes user preference data and converts each data point into a vector representation. The data processing performed here is natural language processing. 【0280】 Step 3: 【0281】 Based on the analysis results, the server suggests the most suitable food menu for the user. The AI ​​model selects menus that meet specific constraints and preferences from the input data and lists them as suggested options. This process involves referencing a vast food database to extract choices that match the criteria. 【0282】 Step 4: 【0283】 The server automatically generates an order based on the suggested food menu. This generation process creates new order data containing the selected food items and sends it to the user and the relevant food delivery service. 【0284】 Step 5: 【0285】 The server obtains the order progress information from the food delivery operator and notifies the user thereof. In this process, an API is used to obtain the real-time delivery status and notify the user via the smartphone application. The delivery status and the expected arrival time are displayed on the screen. 【0286】 Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion specific model 59 and perform specific processing using the user's emotion. 【0287】 The present invention provides a system that not only efficiently processes the user's moving-related information but also utilizes an emotion engine to detect the user's emotion and improve the user experience. 【0288】 The user inputs moving information through the terminal, and an emotion engine is incorporated therein. The emotion engine estimates the user's emotional state from the user's input and operations. Based on this emotion information, the server can dynamically adjust the user interface and provide more appropriate information. For example, when it is determined that the user is feeling stressed, the system can propose to simplify the procedure flow. 【0289】 Furthermore, feedback from the emotion engine is incorporated into the process where the server receives information from the user and analyzes the necessary procedures, and feedback and notifications considering the emotion are provided to the user. In the contact procedure with the operator, contact is also made at the optimal timing and method according to the emotion. 【0290】 For example, if a user is feeling anxious about scheduling their move, the emotion engine can detect this anxiety. As a result, the server can display a simple and specific step-by-step guide related to the move on the user's device to reassure them and encourage a smooth process. In this way, users can proceed with the moving process smoothly without feeling any unnecessary burden. 【0291】 The following describes the processing flow. 【0292】 Step 1: 【0293】 The user enters information about their move via their device. This information includes their new address, moving date, and desired services. 【0294】 Step 2: 【0295】 The device uses an emotion engine to determine the user's emotional state based on their input actions and word choices. It detects stress, anxiety, comfort, and other emotional states. 【0296】 Step 3: 【0297】 The device sends emotional information determined by the emotion engine to the server, and also correctly formats and sends the user-entered relocation information to the server. 【0298】 Step 4: 【0299】 The server processes the received information and adjusts the user interface based on the user's emotional state. If the user is stressed, it presents options to simplify operations or designs that promote relaxation. 【0300】 Step 5: 【0301】 The server starts the AI agent and analyzes the moving information sent by the user. It identifies the necessary procedures, cancellations, and new contracts, and prepares to contact the contractors. 【0302】 Step 6: 【0303】 The server takes into account the emotional feedback and optimizes the timing and method of the contact procedure with the contractors. For example, it sends notifications at a time when the user is relaxed. 【0304】 Step 7: 【0305】 The server organizes the progress of the procedure, creates a notification with content considering the emotions, and sends it to the user through the terminal. The notification content includes the specific steps to be taken next and a message that takes care to make the user feel at ease. 【0306】 (Example 2) 【0307】 Next, Example 2 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". 【0308】 Moving is a complex and stressful process, and it is required that the user appropriately manages the information while reducing the psychological burden. However, in conventional moving-related systems, no support considering the user's emotional state is provided, and the user experience may be impaired. The problem to be solved by the present invention is to provide support according to the user's emotional state and smoothly and stress-free proceed with the moving procedure. 【0309】 The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means. 【0310】 In this invention, the server includes means for analyzing information and operation history related to the move entered by the user and performing emotion estimation; means for dynamically adjusting the user interface based on the results of the emotion estimation; and means for making optimal suggestions in response to user requests based on the analyzed information and emotion information. This enables a smooth moving process that takes into account the user's emotional state. 【0311】 A "user" refers to an individual or organization that uses the system to complete the relocation process. 【0312】 "Information" refers to data related to moving that the user enters into the system, including dates, locations, and types of belongings. 【0313】 "Operation history" refers to a record of a series of operations performed by a user on their device. 【0314】 "Emotion estimation" is the process of analyzing and inferring a user's emotional state based on input information and operation history. 【0315】 "User interface" refers to the screen display and control system used by a user to interact with a system. 【0316】 "Dynamic adjustment" refers to the act of changing the user interface in real time to present information and operating procedures that match the user's emotional state. 【0317】 "Optimal proposals" mean providing users with the most beneficial and efficient procedures and information. 【0318】 "Service provider" refers to a company or organization that provides services related to moving. 【0319】 "Electronic communication methods" refer to digital forms of communication with vendors, including email and APIs. 【0320】 To implement this invention, a server, terminal, and user work together to form a system. The user inputs moving-related information through the terminal, and the system uses an emotion engine to analyze the input data and operation history. In this process, the terminal incorporates emotion engine software that utilizes natural language processing and machine learning technologies. This emotion engine estimates the user's emotional state using a generative AI model. 【0321】 The server dynamically adjusts the user interface based on this emotional information. Specifically, if it detects that the user is feeling anxious or stressed, it displays a simple guide or advice tailored to that state. Furthermore, the server generates personalized and optimal suggestions based on the emotional information and automatically proceeds with the contract procedures with the moving company. This allows the user to complete the moving process more comfortably and efficiently. 【0322】 For example, if a user inputs information such as "I'm feeling anxious about scheduling my move," the emotion engine will detect this anxiety, and the server will then display a guide titled "Key Points for Moving Procedures" on the device based on that information. This guide details the preparation list and confirmation items for the day of the move. This function is implemented by giving the AI ​​model a prompt such as, "When the user is feeling anxious, please provide a guide that concisely explains the moving procedures." 【0323】 This configuration enhances the user experience and enables flexible responses that respond to emotions. 【0324】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0325】 Step 1: 【0326】 The user enters information about their move using a terminal. This includes the moving date, destination, and details of their belongings. The terminal stores this information as initial data within the system. The entered data is then passed directly to the next processing step. 【0327】 Step 2: 【0328】 An emotion engine built into the device analyzes the user's input and operation history to estimate the user's emotional state. Specifically, natural language processing technology is used to analyze text data, and a generative AI model quantifies emotions. As output, the user's emotional state (e.g., stress, anxiety, tension) is assigned as a tag. 【0329】 Step 3: 【0330】 Emotional information and entered relocation information are sent from the terminal to the server. The server receives this data and prepares to dynamically adjust the user interface. Specifically, it sets flags to reflect information about the emotional state in the UI and prepares to pass the information to the next step. 【0331】 Step 4: 【0332】 The server dynamically adjusts the user interface based on emotional information. For example, if the system detects that the user is feeling anxious, it displays a simplified guide to the procedure. This generates an interface that explains the steps of the procedure in detail, allowing the user to proceed with confidence. 【0333】 Step 5: 【0334】 The server generates optimal suggestions based on information from the user. In doing so, it also considers the user's emotional state, prioritizing suggestions that minimize the user's mental burden. Specifically, it presents simplified options to make selection easier for the user. 【0335】 Step 6: 【0336】 The server automatically contacts service providers based on the optimal recommendation. It sends necessary information to service providers via email or API, and moves the moving-related contract forward. The timing of communication is also taken into consideration, taking into account the user's emotional state. 【0337】 Step 7: 【0338】 The server notifies the user of the progress of the procedure. The notification includes emotionally sensitive messages and uses language that reduces user anxiety. This allows the user to always know the progress of the procedure. 【0339】 (Application Example 2) 【0340】 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." 【0341】 Moving involves numerous procedures and adjustments, often placing a significant psychological burden on users. In particular, there is concern that users may experience stress and anxiety, so a system that takes these emotions into consideration is necessary. Furthermore, while streamlining and improving the efficiency of the process, the user interface must be adjustable to individual circumstances. 【0342】 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. 【0343】 In this invention, the server includes means for receiving information about moving entered by the user; means for analyzing the received information and identifying the necessary procedures based on the user's requests; means for estimating the user's emotional state using an emotion engine; means for automatically contacting service providers and terminating or renewing contracts based on the identified procedures and the user's emotional state; means for providing a user interface dynamically adjusted based on the user's emotions; and means for notifying the user of the progress of the procedures. This enables flexible and efficient moving support that takes the user's emotions into consideration. 【0344】 A "user" is an individual or user who enters moving-related information into the system and receives feedback and services in return. 【0345】 "Means for receiving information" refers to an interface or device for obtaining data and requests related to relocation from the user. 【0346】 "Means of analyzing information and identifying procedures" refers to the process of analyzing received data and determining the necessary procedures and actions based on its content. 【0347】 An "emotion engine" is an algorithm or system used to estimate a user's psychological state from their input data and actions. 【0348】 The "means of automatically contacting service providers and terminating or entering into new contracts" refers to a function that, based on analyzed procedures, directly communicates with the appropriate service provider and automatically performs the necessary contract adjustments. 【0349】 A "dynamically responsive user interface" is an interactive screen or control system in which the displayed content and operation methods change according to the user's emotional state. 【0350】 "Means of notifying users of the progress of a procedure" refers to methods or functions for informing users of the current status and progress of the work. 【0351】 The system for carrying out this invention is designed to improve the user's moving experience. This system includes multiple elements to provide a seamless service based on the user's emotional state. 【0352】 Specifically, users input information about their move through household robots or smart devices. This information is sent to and received by a server. The server uses an emotion engine to estimate the user's emotional state and analyzes the data. In this process, speech recognition technologies such as Google Speech Recognition are used to convert the voice-input information into text data. Furthermore, Microsoft Azure's emotion analysis API is used to understand the user's psychological state. 【0353】 Based on the analysis results, the server identifies the necessary procedures and automatically contacts vendors via email or API. This ensures efficient contract termination and new contracts. Furthermore, the server dynamically adjusts the user interface according to the user's emotions, providing information in an easily understandable format. 【0354】 For example, if a user says something like, "I can't finish packing," the emotion engine will estimate a high stress level. In response, the user interface will display a reassuring message and present the tasks in a hierarchical structure. Furthermore, using a generative AI model, prompts such as, "When you detect that a user is feeling anxious about preparing for their move, please come up with an appropriate suggestion plan to cheer them up," will be used to provide supportive measures that are tailored to the user's needs. 【0355】 In this way, the entire system reduces the stress users experience when moving and provides an environment where they can complete the process smoothly. 【0356】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0357】 Step 1: 【0358】 Users input information about their move using voice commands via home robots or smart devices. The input voice data is captured by the device and converted into text data by Google Speech Recognition. This allows the information obtained from the voice to be sent to the server as text. 【0359】 Step 2: 【0360】 The server receives the relocation information in text format. The received information is input into Microsoft Azure's Sentiment Analysis API to estimate the user's emotional state through the emotion engine. The API analyzes the text content and outputs the user's psychological state as emotion data to the server. At this stage, emotional indicators such as stress and anxiety are obtained. 【0361】 Step 3: 【0362】 Based on analyzed moving information and sentiment data, the server identifies the necessary procedures to meet the user's needs. Specifically, it determines whether a contract needs to be terminated or a new contract is required, and decides what to communicate with the appropriate service provider. This process is carried out through cross-referencing of information by the server, and the relevant procedures are output. 【0363】 Step 4: 【0364】 Based on the identified procedure, the server automatically initiates communication with the vendor. It contacts the vendor via email or API to terminate existing contracts or enter into new ones. During this step, details of the communication and contract changes are transmitted electronically. 【0365】 Step 5: 【0366】 The server dynamically adjusts the user interface according to the user's emotional state, providing information displayed on the terminal in an appropriate manner. For example, if the user is feeling anxious, the server instructs the terminal to display reassuring messages or support guides. This allows the user to proceed with the process with peace of mind. 【0367】 Step 6: 【0368】 The device notifies the user of the status of ongoing procedures. The progress of the procedure is reported via push notifications and screen displays, linked to the user's emotional state. This information provision allows the user to always be aware of the current progress. 【0369】 Step 7: 【0370】 The server uses a generative AI model to generate appropriate responses and action plans based on the user's emotions. Further support is provided to the user by presenting the generated suggestions on the device via prompt messages. A specific example of a generative AI model might include prompts such as, "If the server detects that the user is feeling anxious about moving, please come up with an appropriate suggestion plan to cheer them up." 【0371】 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. 【0372】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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. 【0373】 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. 【0374】 [Third Embodiment] 【0375】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0376】 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. 【0377】 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). 【0378】 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. 【0379】 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. 【0380】 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). 【0381】 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. 【0382】 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. 【0383】 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. 【0384】 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. 【0385】 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. 【0386】 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". 【0387】 To implement this invention, the process begins with the user using a terminal to input information about their move. The terminal correctly formats this information and sends it to a server. The server uses an AI agent to analyze the user's information and requests. The AI ​​agent uses natural language processing to identify the services the user desires and the procedures involved in the move. 【0388】 Next, the server automatically uses a communication module to contact the necessary vendors. The vendors are instructed to cancel the current contract and enter into a new contract at the new address. This communication is efficiently carried out via email or API. When a contract is finalized or progress is made, the server collects this information and notifies the user. 【0389】 As a concrete example, consider a user who needs to renew their electricity, gas, and internet services when moving to a new address. The user enters the necessary information on their device, and the server automatically cancels the service at their current address, selects available services at their new address, and completes the contract. The user is notified of the progress through their device, so they always know what step to take next. This series of procedures allows the user to move smoothly without feeling burdened. 【0390】 The following describes the processing flow. 【0391】 Step 1: 【0392】 The user enters information about their move (current address, new address, desired services, moving date, etc.) via their device. 【0393】 Step 2: 【0394】 The terminal verifies the information entered by the user and sends the correctly formatted data to the server. During the formatting process, it checks the input format and whether or not there are required fields. 【0395】 Step 3: 【0396】 The server saves the received information to the database. At this time, the integrity of the information is checked, and it is confirmed that there are no duplicates or inconsistencies with existing data. 【0397】 Step 4: 【0398】 The server activates an AI agent and analyzes the user's input. The AI ​​agent uses natural language processing technology to analyze the user's wishes and required services. 【0399】 Step 5: 【0400】 Based on the analysis results, the server uses a communication module to contact vendors and carry out necessary contract cancellation and new contract procedures. 【0401】 Step 6: 【0402】 The server receives feedback from the vendor and updates the necessary tasks for the next step based on that feedback. The feedback includes contract details and any additional information that may be needed. 【0403】 Step 7: 【0404】 The server organizes the status and progress of the process, identifies the next action the user should take, and notifies them via their device. This notification includes information on completed procedures and advice regarding any incomplete steps. 【0405】 (Example 1) 【0406】 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." 【0407】 The aim is to reduce the complexity of users having to individually handle various procedures when changing their work location, and to efficiently and quickly complete the necessary contracts in the new environment. Traditionally, these processes required procedures with each individual organization, which was very time-consuming. 【0408】 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. 【0409】 In this invention, the server includes means for receiving information provided by the user, means for analyzing the information and identifying procedures using a generated AI model, means for automatically contacting third-party organizations and proceeding with contract termination and new procedures, and means for informing the user of the progress of the procedures. This enables the user to smoothly complete a series of procedures related to changing their operating location without feeling burdened. 【0410】 "Information regarding changes in operating location" refers to detailed information that users provide when moving or transferring jobs, such as their old and new addresses, communication methods, and desired migration date. 【0411】 A "generative AI model" refers to an artificial intelligence framework used to analyze input information and automatically determine and identify requirements in a way that does not require human interpretation. 【0412】 A "third-party organization" refers to an organization or company that provides services, such as an electricity company, telecommunications carrier, or gas company with which the user has a contract. 【0413】 "Electronic messaging" refers to methods of sending and receiving information in digital format, such as email and text messages. 【0414】 An "electronic information exchange interface" refers to a communication method for exchanging data with external systems and services through programs. 【0415】 "Digital communication methods" refer to means of sending, receiving, or exchanging information using communication technologies and protocols that utilize the Internet. 【0416】 A "business plan" refers to the optimal service plan and contract details based on user needs, and indicates the combination of services and products offered. 【0417】 For this invention to be implemented, it is first necessary for the user to input information regarding a change of location using a terminal. The information entered by the user includes the old and new addresses, the desired migration date, and the selection of necessary services. The terminal formats this information appropriately and transmits it to the server. 【0418】 The server performs data analysis using a generative AI model based on the received information. Specifically, a generative AI model capable of natural language processing (e.g., GPT-4) is used. The AI ​​model interprets the user's requests and identifies necessary relationships with third-party organizations. At this stage, an optimal business plan based on the user's requests is formulated. 【0419】 Once the analysis is complete, the server automatically contacts third-party organizations via an electronic information exchange interface. This includes protocols that use APIs to contact electricity and telecommunications service providers through digital communication means. This allows for the rapid termination of existing contracts and the establishment of new ones. 【0420】 The server continuously monitors the progress of the contract procedures and notifies the user's terminal of this information. The user can check the progress of the procedures through their terminal and take additional steps as needed. 【0421】 As a concrete example, consider the procedure for changing electricity and internet contracts when a user moves. The user enters their new address and relocation date into their device, the server receives this information, analyzes it using an AI model, and then notifies the power company and internet provider via an API. As a result of this process, the user receives the necessary services at their new address without any special procedures. 【0422】 An example of a prompt message would be: "Please explain what information the user needs to enter and how they should renew their service and contract to ensure a smooth move." 【0423】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0424】 Step 1: 【0425】 The user uses a terminal to enter the necessary information regarding the change of location. This data includes the old and new addresses, the desired migration date, and the types of services that need updating. The terminal verifies and formats the entered information. The data is then prepared for transmission to the server. 【0426】 Step 2: 【0427】 The terminal sends the formatted data to the server. The server receives this data and verifies the accuracy of the input information. Based on the received information, it appropriately formats the data so that the AI ​​model can begin analysis. 【0428】 Step 3: 【0429】 The server uses a generative AI model to analyze the received information. Input data is fed into the AI ​​model, and natural language processing is performed to analyze the user's requests in detail. As a result, services that need to be terminated and services that require a new contract are identified. The output is a list of services that meet the user's requests. 【0430】 Step 4: 【0431】 The server automatically contacts third-party organizations based on the identified service. Specifically, it uses an electronic information exchange interface (API) to contact service providers. This contact initiates the termination and renewal of service contracts. The output here confirms that the communication from the third-party organization has been successfully received. 【0432】 Step 5: 【0433】 The server continuously monitors the progress of each procedure. It receives responses and procedure completion reports from service providers and uses this information to send notifications to users. The output includes the progress status of the procedures, which is notified to users in real time. 【0434】 Step 6: 【0435】 Users receive notifications through their devices and can check the progress of the process. The device displays the received notifications and, if necessary, recommends the next action the user should take. Based on this information, users can confidently proceed with migrating to the new location. 【0436】 (Application Example 1) 【0437】 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." 【0438】 The challenge is to eliminate user effort and prevent incorrect orders by automatically selecting the optimal menu based on user preferences and allergy information when ordering food, and efficiently managing the ordering and progress. 【0439】 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. 【0440】 In this invention, the server includes means for receiving information about food orders entered by a user, means for analyzing the received information and suggesting the most suitable food items based on the user's preferences, means for automatically generating an order based on the suggested food items, and means for notifying the user of the order's progress. This enables food selection that takes user preferences into account and efficient order management. 【0441】 A "user" is an individual or group that enters information about food orders and receives suggestions based on their preferences. 【0442】 "Food order information" refers to user-entered information such as dietary preferences, allergy information, past order history, and other related information. 【0443】 A "server" is a computer system that receives and analyzes information from users. 【0444】 "Suggesting the optimal food" refers to the process of selecting and providing the most suitable menu based on the user's input information. 【0445】 "Automatically generating orders" means mechanically creating order information based on suggested food items. 【0446】 "Notifying users of progress" means communicating the status and changes of orders to users in real time. 【0447】 The system that implements this application primarily consists of a client device, a smartphone, and a cloud-based server. The server runs a natural language processing model using TensorFlow, which analyzes information about food orders entered by the user. 【0448】 When a user enters information about their food order using their smartphone, the device sends this information to a cloud-based server. The server uses a generative AI model based on TensorFlow to analyze the data, understand the user's preferences, and suggest the most suitable food menu. This AI model takes into account the user's past order history, allergy information, and food preferences to generate the most appropriate food options. 【0449】 Based on the food items selected through analysis, the server automatically generates a food order. It also notifies the user in real time of the progress and delivery status of this generated order. Users can always monitor the progress of their food orders via their smartphones. 【0450】 For example, if a user enters "I have a peanut allergy," this information is analyzed by the AI ​​model, and the most suitable menu without peanuts is suggested. An example of a prompt message would be: "The user has entered allergy information and food preferences. Based on this information, please suggest alternative food options that suit the user's preferences." 【0451】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0452】 Step 1: 【0453】 Users use their smartphones to input information related to their food orders, such as allergy information and dietary preferences. The device then sends this information to a server. This input is received by the server as text data. 【0454】 Step 2: 【0455】 The server analyzes the received information. In this process, it utilizes a generative AI model based on TensorFlow. The AI ​​model processes user preference data and converts each data point into a vector representation. The data processing performed here is natural language processing. 【0456】 Step 3: 【0457】 Based on the analysis results, the server suggests the most suitable food menu for the user. The AI ​​model selects menus that meet specific constraints and preferences from the input data and lists them as suggested options. This process involves referencing a vast food database to extract choices that match the criteria. 【0458】 Step 4: 【0459】 The server automatically generates an order based on the suggested food menu. This generation process creates new order data containing the selected food items and sends it to the user and the relevant food delivery service. 【0460】 Step 5: 【0461】 The server retrieves order progress information from food delivery providers and notifies the user. This process uses an API to obtain real-time delivery status and notifies the user via a smartphone app. The delivery status and estimated arrival time are displayed on the screen. 【0462】 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. 【0463】 This invention provides a system that not only efficiently processes user relocation-related information but also utilizes an emotion engine to detect user emotions and improve the user experience. 【0464】 Users input relocation information through a terminal, and an emotion engine is integrated into this process. The emotion engine estimates the user's emotional state based on their input and actions. Based on this emotional information, the server can dynamically adjust the user interface to provide more appropriate information. For example, if the system determines that the user is experiencing stress, it can suggest simplifying the process. 【0465】 Furthermore, feedback from the emotion engine is incorporated into the process by which the server receives information from the user and analyzes the necessary procedures, providing the user with emotionally sensitive feedback and notifications. Even in communication procedures with vendors, communication is conducted at the optimal timing and in the most appropriate manner, taking the user's emotions into consideration. 【0466】 For example, if a user is feeling anxious about scheduling their move, the emotion engine can detect this anxiety. As a result, the server can display a simple and specific step-by-step guide related to the move on the user's device to reassure them and encourage a smooth process. In this way, users can proceed with the moving process smoothly without feeling any unnecessary burden. 【0467】 The following describes the processing flow. 【0468】 Step 1: 【0469】 The user enters information about their move via their device. This information includes their new address, moving date, and desired services. 【0470】 Step 2: 【0471】 The device uses an emotion engine to determine the user's emotional state based on their input actions and word choices. It detects stress, anxiety, comfort, and other emotional states. 【0472】 Step 3: 【0473】 The device sends emotional information determined by the emotion engine to the server, and also correctly formats and sends the user-entered relocation information to the server. 【0474】 Step 4: 【0475】 The server processes the received information and adjusts the user interface based on the user's emotional state. If the user is stressed, it presents options to simplify operations or designs that promote relaxation. 【0476】 Step 5: 【0477】 The server activates an AI agent to analyze the moving information submitted by the user. It identifies the necessary procedures, cancellations, and new contracts, and prepares to contact the moving company. 【0478】 Step 6: 【0479】 The server takes emotional feedback into account and optimizes the timing and method of communication with vendors. For example, it might send notifications when the user is relaxed. 【0480】 Step 7: 【0481】 The server organizes the progress of the procedure, creates an emotionally sensitive notification, and sends it to the user via the terminal. The notification includes specific steps to take next and a message designed to reassure the user. 【0482】 (Example 2) 【0483】 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." 【0484】 Moving is a complex and stressful process, requiring users to manage information appropriately while minimizing their psychological burden. However, conventional moving-related systems often fail to consider the user's emotional state, resulting in a poor user experience. The problem this invention aims to solve is to provide support tailored to the user's emotional state, enabling a smooth and stress-free moving process. 【0485】 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. 【0486】 In this invention, the server includes means for analyzing information and operation history related to the move entered by the user and performing emotion estimation; means for dynamically adjusting the user interface based on the results of the emotion estimation; and means for making optimal suggestions in response to user requests based on the analyzed information and emotion information. This enables a smooth moving process that takes into account the user's emotional state. 【0487】 A "user" refers to an individual or organization that uses the system to complete the relocation process. 【0488】 "Information" refers to data related to moving that the user enters into the system, including dates, locations, and types of belongings. 【0489】 "Operation history" refers to a record of a series of operations performed by a user on their device. 【0490】 "Emotion estimation" is the process of analyzing and inferring a user's emotional state based on input information and operation history. 【0491】 "User interface" refers to the screen display and control system used by a user to interact with a system. 【0492】 "Dynamic adjustment" refers to the act of changing the user interface in real time to present information and operating procedures that match the user's emotional state. 【0493】 "Optimal proposals" mean providing users with the most beneficial and efficient procedures and information. 【0494】 "Service provider" refers to a company or organization that provides services related to moving. 【0495】 "Electronic communication methods" refer to digital forms of communication with vendors, including email and APIs. 【0496】 To implement this invention, a server, terminal, and user work together to form a system. The user inputs moving-related information through the terminal, and the system uses an emotion engine to analyze the input data and operation history. In this process, the terminal incorporates emotion engine software that utilizes natural language processing and machine learning technologies. This emotion engine estimates the user's emotional state using a generative AI model. 【0497】 The server dynamically adjusts the user interface based on this emotional information. Specifically, if it detects that the user is feeling anxious or stressed, it displays a simple guide or advice tailored to that state. Furthermore, the server generates personalized and optimal suggestions based on the emotional information and automatically proceeds with the contract procedures with the moving company. This allows the user to complete the moving process more comfortably and efficiently. 【0498】 For example, if a user inputs information such as "I'm feeling anxious about scheduling my move," the emotion engine will detect this anxiety, and the server will then display a guide titled "Key Points for Moving Procedures" on the device based on that information. This guide details the preparation list and confirmation items for the day of the move. This function is implemented by giving the AI ​​model a prompt such as, "When the user is feeling anxious, please provide a guide that concisely explains the moving procedures." 【0499】 This configuration enhances the user experience and enables flexible responses that respond to emotions. 【0500】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0501】 Step 1: 【0502】 The user enters information about their move using a terminal. This includes the moving date, destination, and details of their belongings. The terminal stores this information as initial data within the system. The entered data is then passed directly to the next processing step. 【0503】 Step 2: 【0504】 An emotion engine built into the device analyzes the user's input and operation history to estimate the user's emotional state. Specifically, natural language processing technology is used to analyze text data, and a generative AI model quantifies emotions. As output, the user's emotional state (e.g., stress, anxiety, tension) is assigned as a tag. 【0505】 Step 3: 【0506】 Emotional information and entered relocation information are sent from the terminal to the server. The server receives this data and prepares to dynamically adjust the user interface. Specifically, it sets flags to reflect information about the emotional state in the UI and prepares to pass the information to the next step. 【0507】 Step 4: 【0508】 The server dynamically adjusts the user interface based on emotional information. For example, if the system detects that the user is feeling anxious, it displays a simplified guide to the procedure. This generates an interface that explains the steps of the procedure in detail, allowing the user to proceed with confidence. 【0509】 Step 5: 【0510】 The server generates optimal suggestions based on information from the user. In doing so, it also considers the user's emotional state, prioritizing suggestions that minimize the user's mental burden. Specifically, it presents simplified options to make selection easier for the user. 【0511】 Step 6: 【0512】 The server automatically contacts service providers based on the optimal recommendation. It sends necessary information to service providers via email or API, and moves the moving-related contract forward. The timing of communication is also taken into consideration, taking into account the user's emotional state. 【0513】 Step 7: 【0514】 The server notifies the user of the progress of the procedure. The notification includes emotionally sensitive messages and uses language that reduces user anxiety. This allows the user to always know the progress of the procedure. 【0515】 (Application Example 2) 【0516】 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." 【0517】 Moving involves numerous procedures and adjustments, often placing a significant psychological burden on users. In particular, there is concern that users may experience stress and anxiety, so a system that takes these emotions into consideration is necessary. Furthermore, while streamlining and improving the efficiency of the process, the user interface must be adjustable to individual circumstances. 【0518】 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. 【0519】 In this invention, the server includes means for receiving information about moving entered by the user; means for analyzing the received information and identifying the necessary procedures based on the user's requests; means for estimating the user's emotional state using an emotion engine; means for automatically contacting service providers and terminating or renewing contracts based on the identified procedures and the user's emotional state; means for providing a user interface dynamically adjusted based on the user's emotions; and means for notifying the user of the progress of the procedures. This enables flexible and efficient moving support that takes the user's emotions into consideration. 【0520】 A "user" is an individual or user who enters moving-related information into the system and receives feedback and services in return. 【0521】 "Means for receiving information" refers to an interface or device for obtaining data and requests related to relocation from the user. 【0522】 "Means of analyzing information and identifying procedures" refers to the process of analyzing received data and determining the necessary procedures and actions based on its content. 【0523】 An "emotion engine" is an algorithm or system used to estimate a user's psychological state from their input data and actions. 【0524】 The "means of automatically contacting service providers and terminating or entering into new contracts" refers to a function that, based on analyzed procedures, directly communicates with the appropriate service provider and automatically performs the necessary contract adjustments. 【0525】 A "dynamically responsive user interface" is an interactive screen or control system in which the displayed content and operation methods change according to the user's emotional state. 【0526】 "Means of notifying users of the progress of a procedure" refers to methods or functions for informing users of the current status and progress of the work. 【0527】 The system for carrying out this invention is designed to improve the user's moving experience. This system includes multiple elements to provide a seamless service based on the user's emotional state. 【0528】 Specifically, users input information about their move through household robots or smart devices. This information is sent to and received by a server. The server uses an emotion engine to estimate the user's emotional state and analyzes the data. In this process, speech recognition technologies such as Google Speech Recognition are used to convert the voice-input information into text data. Furthermore, Microsoft Azure's emotion analysis API is used to understand the user's psychological state. 【0529】 Based on the analysis results, the server identifies the necessary procedures and automatically contacts vendors via email or API. This ensures efficient contract termination and new contracts. Furthermore, the server dynamically adjusts the user interface according to the user's emotions, providing information in an easily understandable format. 【0530】 For example, if a user says something like, "I can't finish packing," the emotion engine will estimate a high stress level. In response, the user interface will display a reassuring message and present the tasks in a hierarchical structure. Furthermore, using a generative AI model, prompts such as, "When you detect that a user is feeling anxious about preparing for their move, please come up with an appropriate suggestion plan to cheer them up," will be used to provide supportive measures that are tailored to the user's needs. 【0531】 In this way, the entire system reduces the stress users experience when moving and provides an environment where they can complete the process smoothly. 【0532】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0533】 Step 1: 【0534】 Users input information about their move using voice commands via home robots or smart devices. The input voice data is captured by the device and converted into text data by Google Speech Recognition. This allows the information obtained from the voice to be sent to the server as text. 【0535】 Step 2: 【0536】 The server receives the relocation information in text format. The received information is input into Microsoft Azure's Sentiment Analysis API to estimate the user's emotional state through the emotion engine. The API analyzes the text content and outputs the user's psychological state as emotion data to the server. At this stage, emotional indicators such as stress and anxiety are obtained. 【0537】 Step 3: 【0538】 Based on analyzed moving information and sentiment data, the server identifies the necessary procedures to meet the user's needs. Specifically, it determines whether a contract needs to be terminated or a new contract is required, and decides what to communicate with the appropriate service provider. This process is carried out through cross-referencing of information by the server, and the relevant procedures are output. 【0539】 Step 4: 【0540】 Based on the identified procedure, the server automatically initiates communication with the vendor. It contacts the vendor via email or API to terminate existing contracts or enter into new ones. During this step, details of the communication and contract changes are transmitted electronically. 【0541】 Step 5: 【0542】 The server dynamically adjusts the user interface according to the user's emotional state, providing information displayed on the terminal in an appropriate manner. For example, if the user is feeling anxious, the server instructs the terminal to display reassuring messages or support guides. This allows the user to proceed with the process with peace of mind. 【0543】 Step 6: 【0544】 The device notifies the user of the status of ongoing procedures. The progress of the procedure is reported via push notifications and screen displays, linked to the user's emotional state. This information provision allows the user to always be aware of the current progress. 【0545】 Step 7: 【0546】 The server uses a generative AI model to generate appropriate responses and action plans based on the user's emotions. Further support is provided to the user by presenting the generated suggestions on the device via prompt messages. A specific example of a generative AI model might include prompts such as, "If the server detects that the user is feeling anxious about moving, please come up with an appropriate suggestion plan to cheer them up." 【0547】 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. 【0548】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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. 【0549】 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. 【0550】 [Fourth Embodiment] 【0551】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0552】 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. 【0553】 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). 【0554】 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. 【0555】 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. 【0556】 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). 【0557】 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. 【0558】 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. 【0559】 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. 【0560】 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. 【0561】 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. 【0562】 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. 【0563】 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". 【0564】 To implement this invention, the process begins with the user using a terminal to input information about their move. The terminal formats this information correctly and sends it to a server. The server uses an AI agent to analyze the user's information and requests. The AI ​​agent uses natural language processing to identify the services the user desires and the procedures involved in the move. 【0565】 Next, the server automatically uses a communication module to contact the necessary vendors. The vendors are instructed to cancel the current contract and enter into a new contract at the new address. This communication is efficiently carried out via email or API. When a contract is finalized or progress is made, the server collects this information and notifies the user. 【0566】 As a concrete example, consider a user who needs to renew their electricity, gas, and internet services when moving to a new address. The user enters the necessary information on their device, and the server automatically cancels the service at their current address, selects available services at their new address, and completes the contract. The user is notified of the progress through their device, so they always know what step to take next. This series of procedures allows the user to move smoothly without feeling burdened. 【0567】 The following describes the processing flow. 【0568】 Step 1: 【0569】 The user enters information about their move (current address, new address, desired services, moving date, etc.) via their device. 【0570】 Step 2: 【0571】 The terminal verifies the information entered by the user and sends the correctly formatted data to the server. During the formatting process, it checks the input format and whether or not there are required fields. 【0572】 Step 3: 【0573】 The server saves the received information to the database. At this time, the integrity of the information is checked, and it is confirmed that there are no duplicates or inconsistencies with existing data. 【0574】 Step 4: 【0575】 The server activates an AI agent and analyzes the user's input. The AI ​​agent uses natural language processing technology to analyze the user's wishes and required services. 【0576】 Step 5: 【0577】 Based on the analysis results, the server uses a communication module to contact vendors and carry out necessary contract cancellation and new contract procedures. 【0578】 Step 6: 【0579】 The server receives feedback from the vendor and updates the necessary tasks for the next step based on that feedback. The feedback includes contract details and any additional information that may be needed. 【0580】 Step 7: 【0581】 The server organizes the status and progress of the process, identifies the next action the user should take, and notifies them via their device. This notification includes information on completed procedures and advice regarding any incomplete steps. 【0582】 (Example 1) 【0583】 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". 【0584】 The aim is to reduce the complexity of users having to individually handle various procedures when changing their work location, and to efficiently and quickly complete the necessary contracts in the new environment. Traditionally, these processes required procedures with each individual organization, which was very time-consuming. 【0585】 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. 【0586】 In this invention, the server includes means for receiving information provided by the user, means for analyzing the information and identifying procedures using a generated AI model, means for automatically contacting third-party organizations and proceeding with contract termination and new procedures, and means for informing the user of the progress of the procedures. This enables the user to smoothly complete a series of procedures related to changing their operating location without feeling burdened. 【0587】 "Information regarding changes in operating location" refers to detailed information that users provide when moving or transferring jobs, such as their old and new addresses, communication methods, and desired migration date. 【0588】 A "generative AI model" refers to an artificial intelligence framework used to analyze input information and automatically determine and identify requirements in a way that does not require human interpretation. 【0589】 A "third-party organization" refers to an organization or company that provides services, such as an electricity company, telecommunications carrier, or gas company with which the user has a contract. 【0590】 "Electronic messaging" refers to methods of sending and receiving information in digital format, such as email and text messages. 【0591】 An "electronic information exchange interface" refers to a communication method for exchanging data with external systems and services through programs. 【0592】 "Digital communication methods" refer to means of sending, receiving, or exchanging information using communication technologies and protocols that utilize the Internet. 【0593】 A "business plan" refers to the optimal service plan and contract details based on user needs, and indicates the combination of services and products offered. 【0594】 For this invention to be implemented, it is first necessary for the user to input information regarding a change of location using a terminal. The information entered by the user includes the old and new addresses, the desired migration date, and the selection of necessary services. The terminal formats this information appropriately and transmits it to the server. 【0595】 The server performs data analysis using a generative AI model based on the received information. Specifically, a generative AI model capable of natural language processing (e.g., GPT-4) is used. The AI ​​model interprets the user's requests and identifies necessary relationships with third-party organizations. At this stage, an optimal business plan based on the user's requests is formulated. 【0596】 Once the analysis is complete, the server automatically contacts third-party organizations via an electronic information exchange interface. This includes protocols that use APIs to contact electricity and telecommunications service providers through digital communication means. This allows for the rapid termination of existing contracts and the establishment of new ones. 【0597】 The server continuously monitors the progress of the contract procedures and notifies the user's terminal of this information. The user can check the progress of the procedures through their terminal and take additional steps as needed. 【0598】 As a concrete example, consider the procedure for changing electricity and internet contracts when a user moves. The user enters their new address and relocation date into their device, the server receives this information, analyzes it using an AI model, and then notifies the power company and internet provider via an API. As a result of this process, the user receives the necessary services at their new address without any special procedures. 【0599】 An example of a prompt message would be: "Please explain what information the user needs to enter and how they should renew their service and contract to ensure a smooth move." 【0600】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0601】 Step 1: 【0602】 The user uses a terminal to enter the necessary information regarding the change of location. This data includes the old and new addresses, the desired migration date, and the types of services that need updating. The terminal verifies and formats the entered information. The data is then prepared for transmission to the server. 【0603】 Step 2: 【0604】 The terminal sends the formatted data to the server. The server receives this data and verifies the accuracy of the input information. Based on the received information, it appropriately formats the data so that the AI ​​model can begin analysis. 【0605】 Step 3: 【0606】 The server uses a generative AI model to analyze the received information. Input data is fed into the AI ​​model, and natural language processing is performed to analyze the user's requests in detail. As a result, services that need to be terminated and services that require a new contract are identified. The output is a list of services that meet the user's requests. 【0607】 Step 4: 【0608】 The server automatically contacts third-party organizations based on the identified service. Specifically, it uses an electronic information exchange interface (API) to contact service providers. This contact initiates the termination and renewal of service contracts. The output here confirms that the communication from the third-party organization has been successfully received. 【0609】 Step 5: 【0610】 The server continuously monitors the progress of each procedure. It receives responses and procedure completion reports from service providers and uses this information to send notifications to users. The output includes the procedure progress, which is notified to users in real time. 【0611】 Step 6: 【0612】 Users receive notifications through their devices and can check the progress of the process. The device displays the received notifications and, if necessary, recommends the next action the user should take. Based on this information, users can confidently proceed with migrating to the new location. 【0613】 (Application Example 1) 【0614】 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". 【0615】 The challenge is to eliminate user effort and prevent incorrect orders by automatically selecting the optimal menu based on user preferences and allergy information when ordering food, and by efficiently managing orders and progress. 【0616】 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. 【0617】 In this invention, the server includes means for receiving information about food orders entered by a user, means for analyzing the received information and suggesting the most suitable food based on the user's preferences, means for automatically generating an order based on the suggested food, and means for notifying the user of the order's progress. This enables food selection that takes user preferences into account and efficient order management. 【0618】 A "user" is an individual or group that enters information about food orders and receives suggestions based on their preferences. 【0619】 "Food order information" refers to user-entered information such as dietary preferences, allergy information, past order history, and other related information. 【0620】 A "server" is a computer system that receives and analyzes information from users. 【0621】 "Suggesting the optimal food" refers to the process of selecting and providing the most suitable menu based on the user's input information. 【0622】 "Automatically generating orders" means mechanically creating order information based on suggested food items. 【0623】 "Notifying users of progress" means communicating the status and changes of orders to users in real time. 【0624】 The system that implements this application primarily consists of a client device, a smartphone, and a cloud-based server. The server runs a natural language processing model using TensorFlow, which analyzes information about food orders entered by the user. 【0625】 When a user enters information about their food order using their smartphone, the device sends this information to a cloud-based server. The server uses a generative AI model based on TensorFlow to analyze the data, understand the user's preferences, and suggest the most suitable food menu. This AI model takes into account the user's past order history, allergy information, and food preferences to generate the most appropriate food options. 【0626】 Based on the food items selected through analysis, the server automatically generates a food order. It also notifies the user in real time of the progress and delivery status of this generated order. Users can always monitor the progress of their food orders via their smartphones. 【0627】 For example, if a user enters "I have a peanut allergy," this information is analyzed by the AI ​​model, and the most suitable menu without peanuts is suggested. An example of a prompt message would be: "The user has entered allergy information and food preferences. Based on this information, please suggest alternative food options that suit the user's preferences." 【0628】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0629】 Step 1: 【0630】 Users use their smartphones to input information related to their food orders, such as allergy information and dietary preferences. The device then sends this information to a server. This input is received by the server as text data. 【0631】 Step 2: 【0632】 The server analyzes the received information. In this process, it utilizes a generative AI model based on TensorFlow. The AI ​​model processes user preference data and converts each data point into a vector representation. The data processing performed here is natural language processing. 【0633】 Step 3: 【0634】 Based on the analysis results, the server suggests the most suitable food menu for the user. The AI ​​model selects menus that meet specific constraints and preferences from the input data and lists them as suggested options. This process involves referencing a vast food database to extract choices that match the criteria. 【0635】 Step 4: 【0636】 The server automatically generates an order based on the suggested food menu. This generation process creates new order data containing the selected food items and sends it to the user and the relevant food delivery service. 【0637】 Step 5: 【0638】 The server retrieves order progress information from food delivery providers and notifies the user. This process uses an API to obtain real-time delivery status and notifies the user via a smartphone app. The delivery status and estimated arrival time are displayed on the screen. 【0639】 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. 【0640】 This invention provides a system that not only efficiently processes user relocation-related information but also utilizes an emotion engine to detect user emotions and improve the user experience. 【0641】 Users input relocation information through a terminal, and an emotion engine is integrated into this process. The emotion engine estimates the user's emotional state based on their input and actions. Based on this emotional information, the server can dynamically adjust the user interface to provide more appropriate information. For example, if the system determines that the user is experiencing stress, it can suggest simplifying the process. 【0642】 Furthermore, feedback from the emotion engine is incorporated into the process by which the server receives information from the user and analyzes the necessary procedures, providing the user with emotionally sensitive feedback and notifications. Even in communication procedures with vendors, communication is conducted at the optimal timing and in the most appropriate manner, taking the user's emotions into consideration. 【0643】 For example, if a user is feeling anxious about scheduling their move, the emotion engine can detect this anxiety. As a result, the server can display a simple and specific step-by-step guide related to the move on the user's device to reassure them and encourage a smooth process. In this way, users can proceed with the moving process smoothly without feeling any unnecessary burden. 【0644】 The following describes the processing flow. 【0645】 Step 1: 【0646】 The user enters information about their move via their device. This information includes their new address, moving date, and desired services. 【0647】 Step 2: 【0648】 The device uses an emotion engine to determine the user's emotional state based on their input actions and word choices. It detects stress, anxiety, comfort, and other emotional states. 【0649】 Step 3: 【0650】 The device sends emotional information determined by the emotion engine to the server, and also correctly formats and sends the user-entered relocation information to the server. 【0651】 Step 4: 【0652】 The server processes the received information and adjusts the user interface based on the user's emotional state. If the user is stressed, it presents options to simplify operations or designs that promote relaxation. 【0653】 Step 5: 【0654】 The server activates an AI agent to analyze the moving information submitted by the user. It identifies the necessary procedures, cancellations, and new contracts, and prepares to contact the moving company. 【0655】 Step 6: 【0656】 The server takes emotional feedback into account and optimizes the timing and method of communication with vendors. For example, it might send notifications when the user is relaxed. 【0657】 Step 7: 【0658】 The server organizes the progress of the procedure, creates an emotionally sensitive notification, and sends it to the user via the terminal. The notification includes specific steps to take next and a message designed to reassure the user. 【0659】 (Example 2) 【0660】 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". 【0661】 Moving is a complex and stressful process, requiring users to manage information appropriately while minimizing their psychological burden. However, conventional moving-related systems often fail to consider the user's emotional state, resulting in a poor user experience. The problem this invention aims to solve is to provide support tailored to the user's emotional state, enabling a smooth and stress-free moving process. 【0662】 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. 【0663】 In this invention, the server includes means for analyzing information and operation history related to the move entered by the user and performing emotion estimation; means for dynamically adjusting the user interface based on the results of the emotion estimation; and means for making optimal suggestions in response to user requests based on the analyzed information and emotion information. This enables a smooth moving process that takes into account the user's emotional state. 【0664】 A "user" refers to an individual or organization that uses the system to complete the relocation process. 【0665】 "Information" refers to data related to moving that the user enters into the system, including dates, locations, and types of belongings. 【0666】 "Operation history" refers to a record of a series of operations performed by a user on their device. 【0667】 "Emotion estimation" is the process of analyzing and inferring a user's emotional state based on input information and operation history. 【0668】 "User interface" refers to the screen display and control system used by a user to interact with a system. 【0669】 "Dynamic adjustment" refers to the act of changing the user interface in real time to present information and operating procedures that match the user's emotional state. 【0670】 "Optimal proposals" mean providing users with the most beneficial and efficient procedures and information. 【0671】 "Service provider" refers to a company or organization that provides services related to moving. 【0672】 "Electronic communication methods" refer to digital forms of communication with vendors, including email and APIs. 【0673】 To implement this invention, a server, terminal, and user work together to form a system. The user inputs moving-related information through the terminal, and the system uses an emotion engine to analyze the input data and operation history. In this process, the terminal incorporates emotion engine software that utilizes natural language processing and machine learning technologies. This emotion engine estimates the user's emotional state using a generative AI model. 【0674】 The server dynamically adjusts the user interface based on this emotional information. Specifically, if it detects that the user is feeling anxious or stressed, it displays a simple guide or advice tailored to that state. Furthermore, the server generates personalized and optimal suggestions based on the emotional information and automatically proceeds with the contract procedures with the moving company. This allows the user to complete the moving process more comfortably and efficiently. 【0675】 For example, if a user inputs information such as "I'm feeling anxious about scheduling my move," the emotion engine will detect this anxiety, and the server will then display a guide titled "Key Points for Moving Procedures" on the device based on that information. This guide details the preparation list and confirmation items for the day of the move. This function is implemented by giving the AI ​​model a prompt such as, "When the user is feeling anxious, please provide a guide that concisely explains the moving procedures." 【0676】 This configuration enhances the user experience and enables flexible responses that respond to emotions. 【0677】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0678】 Step 1: 【0679】 The user enters information about their move using a terminal. This includes the moving date, destination, and details of their belongings. The terminal stores this information as initial data within the system. The entered data is then passed directly to the next processing step. 【0680】 Step 2: 【0681】 An emotion engine built into the device analyzes the user's input and operation history to estimate the user's emotional state. Specifically, natural language processing technology is used to analyze text data, and a generative AI model quantifies emotions. As output, the user's emotional state (e.g., stress, anxiety, tension) is assigned as a tag. 【0682】 Step 3: 【0683】 Emotional information and entered relocation information are sent from the terminal to the server. The server receives this data and prepares to dynamically adjust the user interface. Specifically, it sets flags to reflect information about the emotional state in the UI and prepares to pass the information to the next step. 【0684】 Step 4: 【0685】 The server dynamically adjusts the user interface based on emotional information. For example, if the system detects that the user is feeling anxious, it displays a simplified guide to the procedure. This generates an interface that explains the steps of the procedure in detail, allowing the user to proceed with confidence. 【0686】 Step 5: 【0687】 The server generates optimal suggestions based on information from the user. In doing so, it also considers the user's emotional state, prioritizing suggestions that minimize the user's mental burden. Specifically, it presents simplified options to make selection easier for the user. 【0688】 Step 6: 【0689】 The server automatically contacts service providers based on the optimal recommendation. It sends necessary information to service providers via email or API, and moves the moving-related contract forward. The timing of communication is also taken into consideration, taking into account the user's emotional state. 【0690】 Step 7: 【0691】 The server notifies the user of the progress of the procedure. The notification includes emotionally sensitive messages and uses language that reduces user anxiety. This allows the user to always know the progress of the procedure. 【0692】 (Application Example 2) 【0693】 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". 【0694】 Moving involves numerous procedures and adjustments, often placing a significant psychological burden on users. In particular, there is concern that users may experience stress and anxiety, so a system that takes these emotions into consideration is necessary. Furthermore, while streamlining and improving the efficiency of the process, the user interface must be adjustable to individual circumstances. 【0695】 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. 【0696】 In this invention, the server includes means for receiving information about moving entered by the user; means for analyzing the received information and identifying the necessary procedures based on the user's requests; means for estimating the user's emotional state using an emotion engine; means for automatically contacting service providers and terminating or renewing contracts based on the identified procedures and the user's emotional state; means for providing a user interface dynamically adjusted based on the user's emotions; and means for notifying the user of the progress of the procedures. This enables flexible and efficient moving support that takes the user's emotions into consideration. 【0697】 A "user" is an individual or user who enters moving-related information into the system and receives feedback and services in return. 【0698】 "Means for receiving information" refers to an interface or device for obtaining data and requests related to relocation from the user. 【0699】 "Means of analyzing information and identifying procedures" refers to the process of analyzing received data and determining the necessary procedures and actions based on its content. 【0700】 An "emotion engine" is an algorithm or system used to estimate a user's psychological state from their input data and actions. 【0701】 The "means of automatically contacting service providers and terminating or entering into new contracts" refers to a function that, based on analyzed procedures, directly communicates with the appropriate service provider and automatically performs the necessary contract adjustments. 【0702】 A "dynamically responsive user interface" is an interactive screen or control system in which the displayed content and operation methods change according to the user's emotional state. 【0703】 "Means of notifying users of the progress of a procedure" refers to methods or functions for informing users of the current status and progress of the work. 【0704】 The system for carrying out this invention is designed to improve the user's moving experience. This system includes multiple elements to provide a seamless service based on the user's emotional state. 【0705】 Specifically, users input information about their move through household robots or smart devices. This information is sent to and received by a server. The server uses an emotion engine to estimate the user's emotional state and analyzes the data. In this process, speech recognition technologies such as Google Speech Recognition are used to convert the voice-input information into text data. Furthermore, Microsoft Azure's emotion analysis API is used to understand the user's psychological state. 【0706】 Based on the analysis results, the server identifies the necessary procedures and automatically contacts vendors via email or API. This ensures efficient contract termination and new contracts. Furthermore, the server dynamically adjusts the user interface according to the user's emotions, providing information in an easily understandable format. 【0707】 For example, if a user says something like, "I can't finish packing," the emotion engine will estimate a high stress level. In response, the user interface will display a reassuring message and present the tasks in a hierarchical structure. Furthermore, using a generative AI model, prompts such as, "When you detect that a user is feeling anxious about preparing for their move, please come up with an appropriate suggestion plan to cheer them up," will be used to provide supportive measures that are tailored to the user's needs. 【0708】 In this way, the entire system reduces the stress users experience when moving and provides an environment where they can complete the process smoothly. 【0709】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0710】 Step 1: 【0711】 Users input information about their move using voice commands via home robots or smart devices. The input voice data is captured by the device and converted into text data by Google Speech Recognition. This allows the information obtained from the voice to be sent to the server as text. 【0712】 Step 2: 【0713】 The server receives the relocation information in text format. The received information is input into Microsoft Azure's Sentiment Analysis API to estimate the user's emotional state through the emotion engine. The API analyzes the text content and outputs the user's psychological state as emotion data to the server. At this stage, emotional indicators such as stress and anxiety are obtained. 【0714】 Step 3: 【0715】 Based on analyzed moving information and sentiment data, the server identifies the necessary procedures to meet the user's needs. Specifically, it determines whether a contract needs to be terminated or a new contract is required, and decides what to communicate with the appropriate service provider. This process is carried out through cross-referencing of information by the server, and the relevant procedures are output. 【0716】 Step 4: 【0717】 Based on the identified procedure, the server automatically initiates communication with the vendor. It contacts the vendor via email or API to terminate existing contracts or enter into new ones. During this step, details of the communication and contract changes are transmitted electronically. 【0718】 Step 5: 【0719】 The server dynamically adjusts the user interface according to the user's emotional state, providing information displayed on the terminal in an appropriate manner. For example, if the user is feeling anxious, the server instructs the terminal to display reassuring messages or support guides. This allows the user to proceed with the process with peace of mind. 【0720】 Step 6: 【0721】 The device notifies the user of the status of ongoing procedures. The progress of the procedure is reported via push notifications and screen displays, linked to the user's emotional state. This information provision allows the user to always be aware of the current progress. 【0722】 Step 7: 【0723】 The server uses a generative AI model to generate appropriate responses and action plans based on the user's emotions. Further support is provided to the user by presenting the generated suggestions on the device via prompt messages. A specific example of a generative AI model might include prompts such as, "If the server detects that the user is feeling anxious about moving, please come up with an appropriate suggestion plan to cheer them up." 【0724】 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. 【0725】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An 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. 【0726】 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. 【0727】 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. 【0728】 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. 【0729】 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. 【0730】 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. 【0731】 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. 【0732】 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." 【0733】 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. 【0734】 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. 【0735】 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. 【0736】 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. 【0737】 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. 【0738】 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. 【0739】 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. 【0740】 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. 【0741】 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. 【0742】 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. 【0743】 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. 【0744】 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. 【0745】 The following is further disclosed regarding the embodiments described above. 【0746】 (Claim 1) 【0747】 A means of receiving information about moving entered by the user, 【0748】 A means for analyzing the received information and identifying the necessary procedures based on the user's request, 【0749】 Based on the identified procedures, the system automatically contacts the vendor and initiates contract termination and new contracts. 【0750】 A means of notifying the user of the progress of the procedure, 【0751】 A system that includes this. 【0752】 (Claim 2) 【0753】 The system according to claim 1, further comprising means for selecting the optimal service plan in accordance with user requests based on the analyzed information. 【0754】 (Claim 3) 【0755】 The system according to claim 1, which uses email, APIs, and other electronic communication means as a means of contacting vendors. 【0756】 "Example 1" 【0757】 (Claim 1) 【0758】 Means for receiving information from the user regarding changes in the operating location, 【0759】 The means of analyzing the received information and identifying procedures based on user requests involves using a generative AI model. 【0760】 A means of automatically contacting third-party organizations based on identified procedures and proceeding with the termination of existing contracts and the entry of new contracts, 【0761】 A means of informing the user of the progress of the procedure, 【0762】 A system that includes this. 【0763】 (Claim 2) 【0764】 The system according to claim 1, further comprising means for selecting an optimal business plan that conforms to the user's requirements based on the analyzed information. 【0765】 (Claim 3) 【0766】 The system according to claim 1, which utilizes electronic messages, electronic information exchange interfaces, and other digital communication means as means of contacting a third-party organization. 【0767】 "Application Example 1" 【0768】 (Claim 1) 【0769】 A means for receiving information about food orders entered by the user, 【0770】 A means for analyzing the received information and suggesting the optimal food based on the user's preferences, 【0771】 A means for automatically generating orders based on the proposed food items, 【0772】 A means of notifying the user of the order progress, 【0773】 A system that includes this. 【0774】 (Claim 2) 【0775】 The system according to claim 1, further comprising means for selecting the optimal food plan in accordance with user requests based on the analyzed information. 【0776】 (Claim 3) 【0777】 The system according to claim 1, which uses email, APIs and other electronic communication means as a means of contacting food providers. 【0778】 "Example 2 of combining an emotion engine" 【0779】 (Claim 1) 【0780】 A means of receiving information about moving entered by the user, 【0781】 A means for analyzing the received information and the user's operation history to estimate emotions, 【0782】 A means for dynamically adjusting the user interface based on the results of the emotion estimation, 【0783】 A means for making optimal suggestions in response to user requests based on the analyzed information and emotional information, 【0784】 Based on the above proposal, a means to automatically contact the vendor and terminate or enter into a new contract will be established. 【0785】 A means of providing users with notifications that take into account the progress of the procedure and their feelings, 【0786】 The use of electronic communication methods as a means of contacting vendors, 【0787】 A system that includes this. 【0788】 (Claim 2) 【0789】 The system according to claim 1, further comprising means for displaying simple guides and hints related to moving based on the results of the emotion estimation. 【0790】 (Claim 3) 【0791】 The system according to claim 1, further comprising means for selecting the optimal timing for contacting a service provider using the results of the emotion estimation. 【0792】 "Application example 2 when combining with an emotional engine" 【0793】 (Claim 1) 【0794】 A means of receiving information about moving entered by the user, 【0795】 A means for analyzing the received information and identifying the necessary procedures based on the user's request, 【0796】 A means of estimating a user's emotional state using an emotion engine, 【0797】 Based on identified procedures and the user's emotional state, a means of automatically contacting the vendor and terminating or renewing the contract is established. 【0798】 A means of providing a user interface that is dynamically adjusted based on the user's emotions, 【0799】 A means of notifying the user of the progress of the procedure, 【0800】 A system that includes this. 【0801】 (Claim 2) 【0802】 The system according to claim 1, further comprising means for selecting the optimal service plan in response to user requests based on the analyzed information and the user's emotional state. 【0803】 (Claim 3) 【0804】 The system according to claim 1, which uses email, APIs, and other electronic communication means as a means of contacting vendors. [Explanation of symbols] 【0805】 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

[Claim 1] A means of receiving information about moving entered by the user, A means for analyzing the received information and identifying the necessary procedures based on the user's request, Based on the identified procedures, the system automatically contacts the vendor and initiates contract termination and new contracts. A means of notifying the user of the progress of the procedure, A system that includes this. [Claim 2] The system according to claim 1, further comprising means for selecting the optimal service plan in response to user requests based on the analyzed information. [Claim 3] The system according to claim 1, which uses email, APIs, and other electronic communication means as a means of contacting vendors.

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