system

Abstract

We provide the system. [Solution] Data collection means, A data encryption means that encrypts and stores the login information collected by the aforementioned data collection means, A profile generation means for preparing data migration to a new information processing device, A data recovery means that uses the aforementioned profile to recover data on the new information processing device and automatically inputs login information, 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, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Unexamined Patent Application Publication No. 2022 - 180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 When replacing a smartphone or a similar information processing device due to a model change or a failure, data transfer takes a long time and is laborious for the user, and especially re - inputting login information is difficult. Furthermore, for users unfamiliar with technology, this process is particularly complicated, and the risk of incorrect data transfer also increases. There is a need to reduce such laboriousness of data transfer and achieve smooth and safe transfer. 【Means for Solving the Problems】 <00000​This invention provides a system that automatically collects login information for services used by users using data collection means and securely stores it using data encryption means. A profile generation means enables preparation for data migration to a new information processing device, and a data recovery means automatically recovers the data on the new device and inputs the login information. This reduces the burden on the user and enables safe and efficient data migration. 【0006】 "Data collection means" refers to a function that automatically retrieves necessary login information and application data from the information processing device used by the user. 【0007】 "Data encryption means" refers to a function that encrypts collected login information and application data to protect them from a security standpoint and stores them securely. 【0008】 The "profile generation means" is a function that structures stored data and generates it as a profile in a reproducible format in order to efficiently transfer data to a new information processing device. 【0009】 A "data recovery mechanism" is a function in a new information processing device that automatically recovers original data and login information using saved profiles, allowing users to recreate their previous environment. [Brief explanation of the drawing] 【0010】 [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] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0011】 Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings. 【0012】 First, let's explain the terminology used in the following explanation. 【0013】 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. 【0014】 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. 【0015】 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. 【0016】 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. 【0017】 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." 【0018】 [First Embodiment] 【0019】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0020】 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. 【0021】 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). 【0022】 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. 【0023】 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. 【0024】 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. 【0025】 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. 【0026】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0027】 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. 【0028】 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. 【0029】 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. 【0030】 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". 【0031】 This invention provides a system for efficiently and automatically transferring data from smartphones and other information processing devices. The user's device first uses data collection means to obtain login information for applications and services installed on the device. This includes application account information, passwords, user settings, and so on. 【0032】 The device then uses data encryption methods to encrypt the collected information and store it in secure storage to protect it from unauthorized access. This process ensures the security of the user's personal data. 【0033】 The server utilizes profile generation methods as needed to prepare for data migration to the new terminal. Specifically, it creates a profile based on the stored data and formats it in a format that is easy to restore. 【0034】 When a new device becomes available, the data recovery system retrieves the profile from the server and begins the automatic restoration of user data. During the restoration process, the device installs new applications and services and automatically logs in using existing login information. As a result, users can immediately begin using applications and services, and their environment from the previous device is faithfully reproduced. 【0035】 As a concrete example, when a user's device malfunctions, they purchase a new device and begin the data migration process. The new device retrieves profile information from the server and automatically installs all applications, allowing the user to immediately resume work or entertainment on the new device. This system frees users from the hassle of data migration, making smartphone use more convenient. 【0036】 The following describes the processing flow. 【0037】 Step 1: 【0038】 The device scans the applications and services being used to retrieve login information (user ID, password) and personal settings. 【0039】 Step 2: 【0040】 The device encrypts the acquired information using data encryption methods and stores it in secure storage. 【0041】 Step 3: 【0042】 The server receives encrypted data securely transferred from the terminal and uses a profile generation mechanism to create a migration profile for the new terminal. 【0043】 Step 4: 【0044】 When a new device connects to the network, the server sends a migration profile to the new device. 【0045】 Step 5: 【0046】 The device begins restoring user data using the profile received from the server. This includes reinstalling applications and automatically filling in login information. 【0047】 Step 6: 【0048】 The user confirms on the new device that the data recovery was completed without any problems. 【0049】 (Example 1) 【0050】 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." 【0051】 Data migration is often a time-consuming and cumbersome process when switching to a new smartphone or information processing device. Traditional methods require users to manually reconfigure information for each application, which can pose security risks. This invention aims to solve these problems by streamlining and automating the data migration process. 【0052】 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. 【0053】 In this invention, the server includes means for collecting data, means for encrypting the data and maintaining it in a secure storage location, and means for generating migration information based on the received data. This enables rapid and secure data migration to a new information processing device. 【0054】 "Means of collecting data" refers to functions for obtaining relevant information from applications and services installed on smartphones and information processing devices. 【0055】 "Means of encrypting and maintaining in a secure storage location" refers to technologies that use encryption algorithms to protect acquired data from unauthorized access and store it in a secure environment. 【0056】 "A means of generating migration information based on received data" refers to the process of generating a profile for migrating data to a new information processing device based on encrypted data. 【0057】 "Means for reconstructing data" refers to a function that uses the generated migration information to restore the original data environment on a new information processing device. 【0058】 "A means of automatically configuring applications and automating login operations for services" refers to a function that configures each application based on the recovered data and automates the necessary login process. 【0059】 "Means that allow data migration to be adjusted according to user selection" refers to a setting function that allows users to specify the scope and content of the data to be migrated. 【0060】 This invention provides a system for efficiently and automatically migrating data from smartphones and other information processing devices. The system aims to perform the data migration process quickly and safely and consists of the following elements. 【0061】 First, the devices used by users have built-in means of collecting data. These means collect information about applications and services installed on the device. In particular, account information, passwords, and user settings are targeted. For example, login information for social networking apps is obtained and recorded. 【0062】 Next, the device uses a means to encrypt the collected data. This ensures a high level of security for the data, which is then stored in a secure location. This process utilizes encryption algorithms such as AES to ensure security. 【0063】 The server receives encrypted data and utilizes means to generate migration information. This generated information serves as a profile for restoring the data to the new data processing device. Based on this profile, the server prepares for data reconstruction. 【0064】 When a new device becomes available, it reconstructs its data based on a profile retrieved from the server. This automatically configures applications and automates the process of logging into services. For example, when a user purchases a new smartphone, it is possible to quickly reproduce their application environment. 【0065】 The introduction of this system will allow users to avoid the cumbersome procedures involved in data migration and smoothly utilize new devices. 【0066】 Examples of prompts for generative AI models 【0067】 1. "Please provide a description of a system that streamlines data migration from smartphones." 【0068】 2. "Please provide specific data recovery procedures when migrating to a new device." 【0069】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0070】 Step 1: 【0071】 The terminal activates the data collection mechanism. The input is a list of applications installed on the terminal. The terminal collects account information, passwords, and user settings information from each application. Specifically, it retrieves information from the application's API or configuration file and stores it in an internal database. The output is the set of retrieved login information. 【0072】 Step 2: 【0073】 The terminal uses a means to encrypt the data. The input is the login information collected in step 1. This information is converted into a secure format by applying an encryption algorithm (e.g., AES). Specifically, the encryption library is called and the login information is encrypted. The output is the encrypted data. 【0074】 Step 3: 【0075】 The terminal sends encrypted data to the server. The input is the encrypted data obtained in step 2. The server receives this data and creates a profile using a means to generate migration information. Specifically, it analyzes the received data and assembles a profile that includes information for reconstruction. The output is the profile to be used in the new terminal. 【0076】 Step 4: 【0077】 When a terminal is configured as a new information processing device, it retrieves a profile from the server. The input is the generated profile. Based on this, the terminal recreates the necessary settings for each application and automatically logs into the service using the login information. Specifically, it analyzes the profile, downloads and installs the relevant applications, and then performs automatic configuration using the retrieved login information. The output is a fully configured new device environment. 【0078】 (Application Example 1) 【0079】 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." 【0080】 The challenge lies in resolving the issue of not being able to safely and quickly transfer user authentication information and settings to new devices during the migration of information processing equipment, which compromises the user experience and security, particularly in purchasing systems such as electronic payments. 【0081】 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. 【0082】 In this invention, the server includes data collection means, information encryption means, profile generation means, information recovery means, and purchasing system operation means. This enables the secure and automatic transfer of user authentication information and settings to a new device, making them immediately usable, particularly in electronic payment applications. 【0083】 "Data collection means" refers to means used in an information processing device to obtain user authentication information and settings. 【0084】 "Information encryption means" refers to a method of encrypting collected authentication information to protect it from unauthorized access. 【0085】 A "profile generation means" is a means of creating a profile based on collected data in preparation for data migration to a new information processing device. 【0086】 "Information recovery means" refers to a method for automatically setting authentication information using a profile in a new information processing device. 【0087】 "Purchasing system operation means" refers to means for smoothly operating a purchasing system, such as electronic payment applications, using data migrated by information restoration means. 【0088】 This invention is a system for streamlining data transfer between information processing devices, and is mainly implemented by the following configuration. 【0089】 The server uses data collection methods to obtain authentication information and user settings from the user's device. This information is obtained securely from applications on smartphones and tablets using Android® and iOS APIs. The acquired data is encrypted using information encryption methods and securely stored in a cloud storage service (e.g., AWS® S3). 【0090】 The server uses a profile generation mechanism to generate a profile for the new device from encrypted data. The profile is then used by the new information processing device via an information decompression mechanism to automatically configure authentication information. This allows the user to immediately begin using applications and services. This process is particularly intended for use in purchasing systems such as electronic payment applications. The entire process, from launching the electronic payment application on the newly purchased device to retrieving the profile from the server and completing the setup, is automated. 【0091】 For example, if a user purchases a new smartphone and needs to replicate their electronic payment setup, after installing the app, the server provides a profile during the migration phase from the previous device, and the app setup is automatically completed. As a result, the user can quickly resume electronic payments, saving them the hassle of setup. 【0092】 An example of a prompt using a generative AI model would be a question like, "When I purchase a new smartphone, how can I safely and automatically transfer data from my electronic payment app to my old device?" This allows the generative AI to provide support for system operation instructions and problem solving. 【0093】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0094】 Step 1: 【0095】 The device uses data collection methods to obtain user authentication information and application settings. The input is application data within the smartphone, and the output is the collected raw data. The device securely reads data from each application via APIs. 【0096】 Step 2: 【0097】 The terminal encrypts the acquired authentication information using an information encryption method. The input is the raw data obtained in step 1, and the output is the encrypted data. Specifically, the terminal applies an encryption algorithm (e.g., AES) and prepares to transfer the information to cloud storage. 【0098】 Step 3: 【0099】 The server stores encrypted data in secure cloud storage. The input is the encrypted data generated in step 2, and the output is secure data storage in the cloud. The server uses AWS S3 or a similar cloud service to store the data. 【0100】 Step 4: 【0101】 The server uses a profile generation mechanism to create a profile for the new terminal. The input is encrypted data retrieved from cloud storage, and the output is a profile for decompression. The server analyzes and converts the data format to generate a profile that maintains the user's settings. 【0102】 Step 5: 【0103】 The terminal uses an information recovery mechanism to apply the profile to the new terminal and restore the application settings. The input is the profile obtained from the server, and the output is the new terminal with the applications configured. The terminal logs in to each application and automatically restores the user's past settings. 【0104】 Step 6: 【0105】 The user can immediately begin using the electronic payment application on the new terminal. The input is the terminal configured in step 5, and the output is the usable electronic payment application. The user can continue to use existing functions without reconfiguration. 【0106】 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. 【0107】 This invention relates to a system that combines a data migration process for smartphones and other information processing devices with an emotion engine for recognizing user emotions. The system aims to improve the user experience by monitoring the user's emotional state in real time at each stage of data migration. 【0108】 The terminal first obtains necessary login information and application settings from the current device via a data collection mechanism. This information is encrypted using data encryption and securely stored on the server. The server generates a profile based on this data and prepares for migration to the new device. 【0109】 The emotion engine analyzes the user's facial expressions and voice patterns to detect stress and anxiety. Based on this information, the system adjusts the guidance provided by the server, offering assistance to mitigate any difficulties the user may face during data migration. For example, if the emotion engine determines that the user is stressed, the terminal will display a concise and easy-to-understand guidance message from the server. 【0110】 When a new device becomes available, the data recovery mechanism uses a profile from the server to restore login information and app settings to the new device. During this time, the emotion engine assesses user satisfaction and, if necessary, can temporarily suspend the process to provide more detailed support. 【0111】 As a concrete example, consider a scenario where a user acquires a new smartphone and migrates data from their old device. In this case, the device utilizes an emotion engine to support the user in smoothly completing the migration process. Especially for users unfamiliar with technology, support from the emotion engine is expected to reduce anxiety during the migration and improve the overall user experience. 【0112】 The following describes the processing flow. 【0113】 Step 1: 【0114】 The device collects login information and user settings from the application being used using data collection methods. Simultaneously, the emotion engine analyzes the user's facial expressions and voice to evaluate their initial emotional state. 【0115】 Step 2: 【0116】 The device encrypts the information it collects using data encryption methods and stores it in secure storage. The emotion engine continuously assesses whether the user is calm, and if there are signs of stress, it displays an on-screen message encouraging the user to relax. 【0117】 Step 3: 【0118】 The server receives encrypted data from the terminal and uses a profile generation mechanism to create a profile that prepares the user for migration to a new terminal. Based on feedback from the emotion engine, the server sends helpful information to the user during the profile transfer. 【0119】 Step 4: 【0120】 When a user receives a new device, the server sends a migration profile to the new device. The sentiment engine monitors the user's reactions and adjusts support as needed. 【0121】 Step 5: 【0122】 The device automatically begins data recovery using the profile received from the server. This includes application installation and automatic entry of login information. The emotion engine monitors the user's emotional state throughout the process, and if the user becomes anxious, the device provides encouraging messages and guidance. 【0123】 Step 6: 【0124】 Data recovery is complete, and the user can verify all applications and settings on the new device. The emotion engine assesses the user's satisfaction and reassures them by notifying them that the process was successful. 【0125】 (Example 2) 【0126】 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." 【0127】 In the data migration process for information processing equipment, a lack of support tailored to the user's emotional state is a problem that easily leads to anxiety and stress. Especially for users unfamiliar with technology, data migration is a complex and time-consuming operation, and problems during this process can impair the user experience. Furthermore, the proper protection of personal information is also crucial. 【0128】 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. 【0129】 In this invention, the server includes a data acquisition device, a data protection device, a profile generation device, a data recovery device, and an emotion analysis device. This makes it possible to smoothly transfer data from information processing equipment according to the user's emotional state, while also improving the user experience and securely protecting personal data. 【0130】 A "data acquisition device" is a device that collects specific identification information or configuration information from information processing equipment. 【0131】 A "data protection device" is a device used to encrypt and securely store collected identification information. 【0132】 A "profile generation device" is a device that creates configuration profiles to facilitate the transition to new information processing equipment. 【0133】 A "data recovery device" is a device that uses profiles to recover data and identification information from new information processing equipment and automatically inputs it. 【0134】 An "emotion analysis device" is a device that analyzes the user's facial expressions and tone of voice to evaluate their emotional state in real time and adjust the support provided accordingly. 【0135】 This invention is a system for facilitating data transfer between information processing devices. The system aims to understand the user's emotional state and optimize the transfer process. 【0136】 The terminal begins by collecting important identification information and user settings from existing information processing equipment using a data acquisition device. Next, it encrypts this information using a data protection device and transmits it to the server over the internet. This encryption is performed using security software and is essential to ensure data security. 【0137】 The server uses a profile generator to create a user configuration profile based on the received information. This profile is like a blueprint that enables smooth data recovery to new information processing equipment. The server then sends the profile to a data recovery device, which is applied to the new information processing equipment to recreate the user's environment. 【0138】 An emotion analysis device detects the user's stress and anxiety by analyzing their facial expressions and voice. Based on this information, the server provides assistance tailored to the user's emotional state and sends appropriate guidance to the terminal. For example, if the user is confused during the transition, the terminal displays a reassuring message such as, "If you have any trouble understanding the procedure, we will support you immediately." 【0139】 Furthermore, this system utilizes a generative AI model to provide appropriate answers to user questions. For example, when a user enters the prompt, "I'm trying to transfer data to a new smartphone, but I don't know how. Please help," the system will guide them through the steps in detail. 【0140】 In this way, the present invention can improve the user experience by ensuring that owners of information processing equipment feel secure during the transition process and by providing necessary support in a timely manner. 【0141】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0142】 Step 1: 【0143】 The terminal uses a data acquisition device to collect identification information and user settings from existing information processing equipment. This process involves accessing existing application settings and login information through the system interface. The collected information becomes the input to the data acquisition device. The output is the sending of this information to the data protection device. Specifically, the terminal repeatedly acquires setting data for each application and then aggregates all the data. 【0144】 Step 2: 【0145】 The terminal encrypts the collected information using a data protection device. Here, a security algorithm is used to encrypt the data and prevent unauthorized access. This encrypted data is then securely transferred to the server. Specifically, the terminal executes the encryption algorithm and prepares to send the resulting encrypted data to the server. 【0146】 Step 3: 【0147】 The server receives encrypted data and creates a migration profile using a profile generator. It analyzes the received data, confirming the information structure and incorporating it into the profile. This is the output of the profile generator, and the system is ready for migration to the new information processing equipment. The server analyzes the data necessary to generate the profile and converts it into a unified format. 【0148】 Step 4: 【0149】 The server sends the generated profile to the data recovery device and begins data recovery on the new information processing equipment. The server transfers the profile to the new equipment, and the data recovery device applies the settings based on that profile. The recovered data and configuration information are output. Specifically, the data recovery device sequentially applies each setting to the new equipment, thereby rebuilding the original environment. 【0150】 Step 5: 【0151】 The device monitors the user's emotional state using an emotion analysis device. This allows it to determine if the user is experiencing anxiety or stress, and displays timely support messages from the server to the device. The results of the emotion analysis are fed back to the server, and guidance based on this analysis is provided. Specifically, the device analyzes the user's video data, detecting and evaluating changes in facial expressions. 【0152】 Step 6: 【0153】 The user inputs a prompt into a generating AI model, conveying the question to the support team. The user's input undergoes heuristic analysis, and an appropriate answer is provided. The answer provided by the generating AI model is the output, deepening the user's understanding. Specifically, if the user inputs a message such as "Data migration is not working properly, please help," the AI ​​will guide them through the system usage procedure. 【0154】 (Application Example 2) 【0155】 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". 【0156】 The challenge lies in reducing the psychological burden and stress on users during the data migration process and providing a smooth experience. Furthermore, secure management of authentication information and efficient automated data entry are necessary during the migration of information processing equipment. Additionally, providing flexible support tailored to the user's emotional state is essential to improving the overall experience. 【0157】 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. 【0158】 In this invention, the server includes a data collection member, a data encryption member, a profile generation member, a data recovery member, and an emotion analysis member. This enables the secure management and efficient transfer of authentication information while adjusting guidance messages based on the user's emotional state, and facilitates smooth data migration while reducing psychological burden. 【0159】 A "data collection component" is an element that has the function of obtaining necessary authentication information from an information processing device. 【0160】 A "data encryption component" is an element that has the function of encrypting and storing acquired authentication information in order to keep it secure. 【0161】 A "profile generation component" is an element that has the function of generating individualized settings in order to plan a smooth data migration to new information processing equipment. 【0162】 A "data recovery component" is an element that uses a profile to recover information on a new device and has the function of automatically entering authentication information. 【0163】 An "emotion analysis component" is an element that analyzes the user's emotional state and adjusts guidance messages based on the results. 【0164】 In this invention, first, the terminal uses a data collection component to acquire authentication information from the current information processing equipment, encrypts that information using a data encryption component, and securely stores it on the server. The server uses a profile generation component to plan the data migration to the new information processing equipment and generates an individualized profile. This profile includes settings and authentication information previously used by the user. 【0165】 Furthermore, this system includes an emotion analysis component that analyzes the user's emotional state in real time. To do this, the smartphone's camera and microphone capture the user's facial expressions and voice, and the emotion analysis algorithm analyzes them. Based on this analysis, the server adjusts guidance regarding data migration as needed to mitigate any frustration the user may experience. 【0166】 As a concrete example, imagine a scenario where a user acquires a new smartphone and transfers data from their old device. During this process, the device monitors the user's emotions in real time, and if stress is detected, it displays a simple, reassuring message such as, "This process is safe. Please proceed calmly." 【0167】 An example of a prompt for a generative AI model is, "Create Python code that identifies a user's emotions when making an online payment and generates a situation-appropriate guidance message." Using this prompt, it is possible to quickly generate a program that provides customized guidance messages tailored to the user's emotional state. 【0168】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0169】 Step 1: 【0170】 The terminal uses data collection components to obtain authentication information from existing information processing equipment. This information includes the user's application settings and login information. Because the obtained data poses a security risk in its raw form, the process proceeds to the next step. 【0171】 Step 2: 【0172】 The device uses data encryption components to encrypt the acquired authentication information. This encrypted data is securely transmitted to and stored on the server. The encryption process uses advanced encryption algorithms to prevent data from being leaked to third parties. This ensures the security of the data. 【0173】 Step 3: 【0174】 The server uses a profile generation component to generate a profile from the transmitted encrypted data. This profile includes user authentication information and application settings, and is used to plan for migration to new information processing equipment. Profile generation individualizes the data and customizes it according to the user's requirements. 【0175】 Step 4: 【0176】 The server uses emotion analysis components to analyze the user's emotional state in real time. The smartphone's camera and microphone capture the user's facial expressions and voice, and the emotion analysis algorithm evaluates stress levels, feelings of security, and other factors. The results of this analysis are used to adjust guidance to ensure a smooth data migration. 【0177】 Step 5: 【0178】 Based on instructions from the server, the terminal uses data recovery components to restore the profile on the new information processing equipment. This recovery process decodes encrypted authentication information and automatically populates application settings. This allows the user to smoothly begin working on the new device. 【0179】 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. 【0180】 Data generation model 58 is a type of 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. 【0181】 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. 【0182】 [Second Embodiment] 【0183】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0184】 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. 【0185】 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). 【0186】 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. 【0187】 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. 【0188】 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). 【0189】 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. 【0190】 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. 【0191】 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. 【0192】 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. 【0193】 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. 【0194】 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". 【0195】 This invention provides a system for efficiently and automatically transferring data from smartphones and other information processing devices. The user's device first uses data collection means to obtain login information for applications and services installed on the device. This includes application account information, passwords, user settings, and so on. 【0196】 The device then uses data encryption methods to encrypt the collected information and store it in secure storage to protect it from unauthorized access. This process ensures the security of the user's personal data. 【0197】 The server utilizes profile generation methods as needed to prepare for data migration to the new terminal. Specifically, it creates a profile based on the stored data and formats it in a format that is easy to restore. 【0198】 When a new device becomes available, the data recovery system retrieves the profile from the server and begins the automatic restoration of user data. During the restoration process, the device installs new applications and services and automatically logs in using existing login information. As a result, users can immediately begin using applications and services, and their environment from the previous device is faithfully reproduced. 【0199】 As a concrete example, when a user's device malfunctions, they purchase a new device and begin the data migration process. The new device retrieves profile information from the server and automatically installs all applications, allowing the user to immediately resume work or entertainment on the new device. This system frees users from the hassle of data migration, making smartphone use more convenient. 【0200】 The following describes the processing flow. 【0201】 Step 1: 【0202】 The device scans the applications and services being used to retrieve login information (user ID, password) and personal settings. 【0203】 Step 2: 【0204】 The device encrypts the acquired information using data encryption methods and stores it in secure storage. 【0205】 Step 3: 【0206】 The server receives encrypted data securely transferred from the terminal and uses a profile generation mechanism to create a migration profile for the new terminal. 【0207】 Step 4: 【0208】 When a new device connects to the network, the server sends a migration profile to the new device. 【0209】 Step 5: 【0210】 The device begins restoring user data using the profile received from the server. This includes reinstalling applications and automatically filling in login information. 【0211】 Step 6: 【0212】 The user confirms on the new device that the data recovery was completed without any problems. 【0213】 (Example 1) 【0214】 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." 【0215】 Data migration is often a time-consuming and cumbersome process when switching to a new smartphone or information processing device. Traditional methods require users to manually reconfigure information for each application, which can pose security risks. This invention aims to solve these problems by streamlining and automating the data migration process. 【0216】 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. 【0217】 In this invention, the server includes means for collecting data, means for encrypting the data and maintaining it in a secure storage location, and means for generating migration information based on the received data. This enables rapid and secure data migration to a new information processing device. 【0218】 "Means of collecting data" refers to functions for obtaining relevant information from applications and services installed on smartphones and information processing devices. 【0219】 "Means of encrypting and maintaining in a secure storage location" refers to technologies that use encryption algorithms to protect acquired data from unauthorized access and store it in a secure environment. 【0220】 "A means of generating migration information based on received data" refers to the process of generating a profile for migrating data to a new information processing device based on encrypted data. 【0221】 "Means for reconstructing data" refers to a function that uses the generated migration information to restore the original data environment on a new information processing device. 【0222】 "A means of automatically configuring applications and automating login operations for services" refers to a function that configures each application based on the recovered data and automates the necessary login process. 【0223】 "Means that allow data migration to be adjusted according to user selection" refers to a setting function that allows users to specify the scope and content of the data to be migrated. 【0224】 This invention provides a system for efficiently and automatically migrating data from smartphones and other information processing devices. The system aims to perform the data migration process quickly and safely and consists of the following elements. 【0225】 First, the devices used by users have built-in means of collecting data. These means collect information about applications and services installed on the device. In particular, account information, passwords, and user settings are targeted. For example, login information for social networking apps is obtained and recorded. 【0226】 Next, the device uses a means to encrypt the collected data. This ensures a high level of security for the data, which is then stored in a secure location. This process utilizes encryption algorithms such as AES to ensure security. 【0227】 The server receives encrypted data and utilizes means to generate migration information. This generated information serves as a profile for restoring the data to the new data processing device. Based on this profile, the server prepares for data reconstruction. 【0228】 When a new device becomes available, it reconstructs its data based on a profile retrieved from the server. This automatically configures applications and automates the process of logging into services. For example, when a user purchases a new smartphone, it is possible to quickly reproduce their application environment. 【0229】 The introduction of this system will allow users to avoid the cumbersome procedures involved in data migration and smoothly utilize new devices. 【0230】 Examples of prompts for generative AI models 【0231】 1. "Please provide a description of a system that streamlines data migration from smartphones." 【0232】 2. "Please provide specific data recovery procedures when migrating to a new device." 【0233】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0234】 Step 1: 【0235】 The terminal activates the data collection mechanism. The input is a list of applications installed on the terminal. The terminal collects account information, passwords, and user settings information from each application. Specifically, it retrieves information from the application's API or configuration file and stores it in an internal database. The output is the set of retrieved login information. 【0236】 Step 2: 【0237】 The terminal uses a means to encrypt the data. The input is the login information collected in step 1. This information is converted into a secure format by applying an encryption algorithm (e.g., AES). Specifically, the encryption library is called and the login information is encrypted. The output is the encrypted data. 【0238】 Step 3: 【0239】 The terminal sends encrypted data to the server. The input is the encrypted data obtained in step 2. The server receives this data and creates a profile using a means to generate migration information. Specifically, it analyzes the received data and assembles a profile that includes information for reconstruction. The output is the profile to be used in the new terminal. 【0240】 Step 4: 【0241】 When a terminal is configured as a new information processing device, it retrieves a profile from the server. The input is the generated profile. Based on this, the terminal recreates the necessary settings for each application and automatically logs into the service using the login information. Specifically, it analyzes the profile, downloads and installs the relevant applications, and then performs automatic configuration using the retrieved login information. The output is a fully configured new device environment. 【0242】 (Application Example 1) 【0243】 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." 【0244】 The challenge lies in resolving the issue of not being able to safely and quickly transfer user authentication information and settings to new devices during the migration of information processing equipment, which compromises the user experience and security, particularly in purchasing systems such as electronic payments. 【0245】 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. 【0246】 In this invention, the server includes data collection means, information encryption means, profile generation means, information recovery means, and purchasing system operation means. This enables the secure and automatic transfer of user authentication information and settings to a new device, making them immediately usable, particularly in electronic payment applications. 【0247】 "Data collection means" refers to means used in an information processing device to obtain user authentication information and settings. 【0248】 "Information encryption means" refers to a method of encrypting collected authentication information to protect it from unauthorized access. 【0249】 A "profile generation means" is a means of creating a profile based on collected data in preparation for data migration to a new information processing device. 【0250】 "Information recovery means" refers to a method for automatically setting authentication information using a profile in a new information processing device. 【0251】 "Purchasing system operation means" refers to means for smoothly operating a purchasing system, such as electronic payment applications, using data migrated by information restoration means. 【0252】 This invention is a system for streamlining data transfer between information processing devices, and is mainly implemented by the following configuration. 【0253】 The server uses data collection methods to obtain authentication information and user settings from the user's device. This information is obtained securely from applications on smartphones and tablets using Android and iOS APIs. The acquired data is encrypted using information encryption methods and securely stored in a cloud storage service (e.g., AWS S3). 【0254】 The server uses a profile generation mechanism to generate a profile for the new device from encrypted data. The profile is then used by the new information processing device via an information decompression mechanism to automatically configure authentication information. This allows the user to immediately begin using applications and services. This process is particularly intended for use in purchasing systems such as electronic payment applications. The entire process, from launching the electronic payment application on the newly purchased device to retrieving the profile from the server and completing the setup, is automated. 【0255】 For example, if a user purchases a new smartphone and needs to replicate their electronic payment setup, after installing the app, the server provides a profile during the migration phase from the previous device, and the app setup is automatically completed. As a result, the user can quickly resume electronic payments, saving them the hassle of setup. 【0256】 An example of a prompt using a generative AI model would be a question like, "When I purchase a new smartphone, how can I safely and automatically transfer data from my electronic payment app to my old device?" This allows the generative AI to provide support for system operation instructions and problem solving. 【0257】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0258】 Step 1: 【0259】 The device uses data collection methods to obtain user authentication information and application settings. The input is application data within the smartphone, and the output is the collected raw data. The device securely reads data from each application via APIs. 【0260】 Step 2: 【0261】 The terminal encrypts the acquired authentication information using an information encryption method. The input is the raw data obtained in step 1, and the output is the encrypted data. Specifically, the terminal applies an encryption algorithm (e.g., AES) and prepares to transfer the information to cloud storage. 【0262】 Step 3: 【0263】 The server stores encrypted data in secure cloud storage. The input is the encrypted data generated in step 2, and the output is secure data storage in the cloud. The server uses AWS S3 or a similar cloud service to store the data. 【0264】 Step 4: 【0265】 The server uses a profile generation mechanism to create a profile for the new terminal. The input is encrypted data retrieved from cloud storage, and the output is a profile for decompression. The server analyzes and converts the data format to generate a profile that maintains the user's settings. 【0266】 Step 5: 【0267】 The terminal uses an information recovery mechanism to apply the profile to the new terminal and restore the application settings. The input is the profile obtained from the server, and the output is the new terminal with the applications configured. The terminal logs in to each application and automatically restores the user's past settings. 【0268】 Step 6: 【0269】 The user can immediately begin using the electronic payment application on the new terminal. The input is the terminal configured in step 5, and the output is the usable electronic payment application. The user can continue to use existing functions without reconfiguration. 【0270】 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. 【0271】 This invention relates to a system that combines a data migration process for smartphones and other information processing devices with an emotion engine for recognizing user emotions. The system aims to improve the user experience by monitoring the user's emotional state in real time at each stage of data migration. 【0272】 The terminal first obtains necessary login information and application settings from the current device via a data collection mechanism. This information is encrypted using data encryption and securely stored on the server. The server generates a profile based on this data and prepares for migration to the new device. 【0273】 The emotion engine analyzes the user's facial expressions and voice patterns to detect stress and anxiety. Based on this information, the system adjusts the guidance provided by the server, offering assistance to mitigate any difficulties the user may face during data migration. For example, if the emotion engine determines that the user is stressed, the terminal will display a concise and easy-to-understand guidance message from the server. 【0274】 When a new device becomes available, the data recovery mechanism uses a profile from the server to restore login information and app settings to the new device. During this time, the emotion engine assesses user satisfaction and, if necessary, can temporarily suspend the process to provide more detailed support. 【0275】 As a concrete example, consider a scenario where a user acquires a new smartphone and migrates data from their old device. In this case, the device utilizes an emotion engine to support the user in smoothly completing the migration process. Especially for users unfamiliar with technology, support from the emotion engine is expected to reduce anxiety during the migration and improve the overall user experience. 【0276】 The following describes the processing flow. 【0277】 Step 1: 【0278】 The terminal collects login information and user settings from the application in use using data collection means. The emotion engine simultaneously analyzes the user's expressions and voice and evaluates the initial emotional state. 【0279】 Step 2: 【0280】 The terminal encrypts the information collected using data encryption means and stores it in a secure storage. The emotion engine continuously evaluates whether the user is calm and, if there are signs of stress, displays a screen message prompting the user to relax. 【0281】 Step 3: 【0282】 The server receives the encrypted data from the terminal and creates a profile using profile generation means to prepare for migration to a new terminal. Based on the feedback of the emotion engine, the server sends information useful to the user during the transfer of the profile. 【0283】 Step 4: 【0284】 When the user receives a new terminal, the server sends the migration profile to the new terminal. The emotion engine checks the user's reaction and adjusts the support as necessary. 【0285】 Step 5: 【0286】 The terminal automatically starts data restoration using the profile received from the server. This includes installation of applications and automatic input of login information. The emotion engine monitors the user's emotional state throughout the process and, if the user feels anxious, the terminal provides encouraging messages and guidance. 【0287】 Step 6: 【0288】 Data recovery is complete, and the user can verify all applications and settings on the new device. The emotion engine assesses the user's satisfaction and reassures them by notifying them that the process was successful. 【0289】 (Example 2) 【0290】 Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal". 【0291】 In the data migration process for information processing equipment, a lack of support tailored to the user's emotional state is a problem that easily leads to anxiety and stress. Especially for users unfamiliar with technology, data migration is a complex and time-consuming operation, and problems during this process can impair the user experience. Furthermore, the proper protection of personal information is also crucial. 【0292】 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. 【0293】 In this invention, the server includes a data acquisition device, a data protection device, a profile generation device, a data recovery device, and an emotion analysis device. This makes it possible to smoothly transfer data from information processing equipment according to the user's emotional state, while also improving the user experience and securely protecting personal data. 【0294】 A "data acquisition device" is a device that collects specific identification information or configuration information from information processing equipment. 【0295】 A "data protection device" is a device used to encrypt and securely store collected identification information. 【0296】 A "profile generation device" is a device that creates configuration profiles to facilitate the transition to new information processing equipment. 【0297】 A "data recovery device" is a device that uses profiles to recover data and identification information from new information processing equipment and automatically inputs it. 【0298】 An "emotion analysis device" is a device that analyzes the user's facial expressions and tone of voice to evaluate their emotional state in real time and adjust the support provided accordingly. 【0299】 This invention is a system for facilitating data transfer between information processing devices. The system aims to understand the user's emotional state and optimize the transfer process. 【0300】 The terminal begins by collecting important identification information and user settings from existing information processing equipment using a data acquisition device. Next, it encrypts this information using a data protection device and transmits it to the server over the internet. This encryption is performed using security software and is essential to ensure data security. 【0301】 The server uses a profile generator to create a user configuration profile based on the received information. This profile is like a blueprint that enables smooth data recovery to new information processing equipment. The server then sends the profile to a data recovery device, which is applied to the new information processing equipment to recreate the user's environment. 【0302】 An emotion analysis device detects the user's stress and anxiety by analyzing their facial expressions and voice. Based on this information, the server provides assistance tailored to the user's emotional state and sends appropriate guidance to the terminal. For example, if the user is confused during the transition, the terminal displays a reassuring message such as, "If you have any trouble understanding the procedure, we will support you immediately." 【0303】 Furthermore, this system utilizes a generative AI model to provide appropriate answers in response to questions from users. As a specific example, when a user inputs a prompt sentence such as "I'm trying to transfer data to a new smartphone but I don't understand and I'm stuck. Please help.", the system guides the user through the details of the procedure. 【0304】 In this way, the present invention enables the owner of the information processing device to feel at ease during the transfer process and can improve the user experience by providing the necessary support in a timely manner. 【0305】 The flow of the specific process in Example 2 will be described using FIG. 13. 【0306】 Step 1: 【0307】 The terminal uses a data acquisition device to collect identification information and user settings from the current information processing device. In this process, existing application settings and login information are accessed through the system interface. The collected information serves as the input to the data acquisition device. The output is that this information is sent to the data protection device. Specifically, the terminal repeatedly obtains the setting data of each application and performs an operation to summarize all the data. 【0308】 Step 2: 【0309】 The terminal encrypts the information collected using the data protection device. Here, security algorithms are used to encrypt the data to prevent unauthorized access. This encrypted data becomes the output that is securely transferred to the server. As a specific operation, the terminal executes an encryption algorithm and prepares to send the obtained encrypted data to the server. 【0310】 Step 3: 【0311】 The server receives encrypted data and creates a migration profile using a profile generator. It analyzes the received data, confirming the information structure and incorporating it into the profile. This is the output of the profile generator, and the system is ready for migration to the new information processing equipment. The server analyzes the data necessary to generate the profile and converts it into a unified format. 【0312】 Step 4: 【0313】 The server sends the generated profile to the data recovery device and begins data recovery on the new information processing equipment. The server transfers the profile to the new equipment, and the data recovery device applies the settings based on that profile. The recovered data and configuration information are output. Specifically, the data recovery device sequentially applies each setting to the new equipment, thereby rebuilding the original environment. 【0314】 Step 5: 【0315】 The device monitors the user's emotional state using an emotion analysis device. This allows it to determine if the user is experiencing anxiety or stress, and displays timely support messages from the server to the device. The results of the emotion analysis are fed back to the server, and guidance based on this analysis is provided. Specifically, the device analyzes the user's video data, detecting and evaluating changes in facial expressions. 【0316】 Step 6: 【0317】 The user inputs a prompt into a generating AI model, conveying the question to the support team. The user's input undergoes heuristic analysis, and an appropriate answer is provided. The answer provided by the generating AI model is the output, deepening the user's understanding. Specifically, if the user inputs a message such as "Data migration is not working properly, please help," the AI ​​will guide them through the system usage procedure. 【0318】 (Application Example 2) 【0319】 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." 【0320】 The challenge lies in reducing the psychological burden and stress on users during the data migration process and providing a smooth experience. Furthermore, secure management of authentication information and efficient automated data entry are necessary during the migration of information processing equipment. Additionally, providing flexible support tailored to the user's emotional state is essential to improving the overall experience. 【0321】 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. 【0322】 In this invention, the server includes a data collection member, a data encryption member, a profile generation member, a data recovery member, and an emotion analysis member. This enables the secure management and efficient transfer of authentication information while adjusting guidance messages based on the user's emotional state, and facilitates smooth data migration while reducing psychological burden. 【0323】 A "data collection component" is an element that has the function of obtaining necessary authentication information from an information processing device. 【0324】 A "data encryption component" is an element that has the function of encrypting and storing acquired authentication information in order to keep it secure. 【0325】 A "profile generation component" is an element that has the function of generating individualized settings in order to plan a smooth data migration to new information processing equipment. 【0326】 A "data recovery component" is an element that uses a profile to recover information on a new device and has the function of automatically entering authentication information. 【0327】 An "emotion analysis component" is an element that analyzes the user's emotional state and adjusts guidance messages based on the results. 【0328】 In this invention, first, the terminal uses a data collection component to acquire authentication information from the current information processing equipment, encrypts that information using a data encryption component, and securely stores it on the server. The server uses a profile generation component to plan the data migration to the new information processing equipment and generates an individualized profile. This profile includes settings and authentication information previously used by the user. 【0329】 Furthermore, this system includes an emotion analysis component that analyzes the user's emotional state in real time. To do this, the smartphone's camera and microphone capture the user's facial expressions and voice, and the emotion analysis algorithm analyzes them. Based on this analysis, the server adjusts guidance regarding data migration as needed to mitigate any frustration the user may experience. 【0330】 As a concrete example, imagine a scenario where a user acquires a new smartphone and transfers data from their old device. During this process, the device monitors the user's emotions in real time, and if stress is detected, it displays a simple, reassuring message such as, "This process is safe. Please proceed calmly." 【0331】 An example of a prompt for a generative AI model is, "Create Python code that identifies a user's emotions when making an online payment and generates a situation-appropriate guidance message." Using this prompt, it is possible to quickly generate a program that provides customized guidance messages tailored to the user's emotional state. 【0332】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0333】 Step 1: 【0334】 The terminal uses data collection components to obtain authentication information from existing information processing equipment. This information includes the user's application settings and login information. Because the obtained data poses a security risk in its raw form, the process proceeds to the next step. 【0335】 Step 2: 【0336】 The device uses data encryption components to encrypt the acquired authentication information. This encrypted data is securely transmitted to and stored on the server. The encryption process uses advanced encryption algorithms to prevent data from being leaked to third parties. This ensures the security of the data. 【0337】 Step 3: 【0338】 The server uses a profile generation component to generate a profile from the transmitted encrypted data. This profile includes user authentication information and application settings, and is used to plan for migration to new information processing equipment. Profile generation individualizes the data and customizes it according to the user's requirements. 【0339】 Step 4: 【0340】 The server uses emotion analysis components to analyze the user's emotional state in real time. The smartphone's camera and microphone capture the user's facial expressions and voice, and the emotion analysis algorithm evaluates stress levels, feelings of security, and other factors. The results of this analysis are used to adjust guidance to ensure a smooth data migration. 【0341】 Step 5: 【0342】 Based on instructions from the server, the terminal uses data recovery components to restore the profile on the new information processing equipment. This recovery process decodes encrypted authentication information and automatically populates application settings. This allows the user to smoothly begin working on the new device. 【0343】 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. 【0344】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0345】 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. 【0346】 [Third Embodiment] 【0347】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0348】 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. 【0349】 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). 【0350】 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. 【0351】 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. 【0352】 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). 【0353】 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. 【0354】 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. 【0355】 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. 【0356】 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. 【0357】 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. 【0358】 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". 【0359】 This invention provides a system for efficiently and automatically transferring data from smartphones and other information processing devices. The user's device first uses data collection means to obtain login information for applications and services installed on the device. This includes application account information, passwords, user settings, and so on. 【0360】 The device then uses data encryption methods to encrypt the collected information and store it in secure storage to protect it from unauthorized access. This process ensures the security of the user's personal data. 【0361】 The server utilizes profile generation methods as needed to prepare for data migration to the new terminal. Specifically, it creates a profile based on the stored data and formats it in a format that is easy to restore. 【0362】 When a new device becomes available, the data recovery system retrieves the profile from the server and begins the automatic restoration of user data. During the restoration process, the device installs new applications and services and automatically logs in using existing login information. As a result, users can immediately begin using applications and services, and their environment from the previous device is faithfully reproduced. 【0363】 As a concrete example, when a user's device malfunctions, they purchase a new device and begin the data migration process. The new device retrieves profile information from the server and automatically installs all applications, allowing the user to immediately resume work or entertainment on the new device. This system frees users from the hassle of data migration, making smartphone use more convenient. 【0364】 The following describes the processing flow. 【0365】 Step 1: 【0366】 The device scans the applications and services being used to retrieve login information (user ID, password) and personal settings. 【0367】 Step 2: 【0368】 The device encrypts the acquired information using data encryption methods and stores it in secure storage. 【0369】 Step 3: 【0370】 The server receives encrypted data securely transferred from the terminal and uses a profile generation mechanism to create a migration profile for the new terminal. 【0371】 Step 4: 【0372】 When a new device connects to the network, the server sends a migration profile to the new device. 【0373】 Step 5: 【0374】 The device begins restoring user data using the profile received from the server. This includes reinstalling applications and automatically filling in login information. 【0375】 Step 6: 【0376】 The user confirms on the new device that the data recovery was completed without any problems. 【0377】 (Example 1) 【0378】 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." 【0379】 Data migration is often a time-consuming and cumbersome process when switching to a new smartphone or information processing device. Traditional methods require users to manually reconfigure information for each application, which can pose security risks. This invention aims to solve these problems by streamlining and automating the data migration process. 【0380】 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. 【0381】 In this invention, the server includes means for collecting data, means for encrypting the data and maintaining it in a secure storage location, and means for generating migration information based on the received data. This enables rapid and secure data migration to a new information processing device. 【0382】 "Means of collecting data" refers to functions for obtaining relevant information from applications and services installed on smartphones and information processing devices. 【0383】 "Means of encrypting and maintaining in a secure storage location" refers to technologies that use encryption algorithms to protect acquired data from unauthorized access and store it in a secure environment. 【0384】 "A means of generating migration information based on received data" refers to the process of generating a profile for migrating data to a new information processing device based on encrypted data. 【0385】 "Means for reconstructing data" refers to a function that uses the generated migration information to restore the original data environment on a new information processing device. 【0386】 "A means of automatically configuring applications and automating login operations for services" refers to a function that configures each application based on the recovered data and automates the necessary login process. 【0387】 "Means that allow data migration to be adjusted according to user selection" refers to a setting function that allows users to specify the scope and content of the data to be migrated. 【0388】 This invention provides a system for efficiently and automatically migrating data from smartphones and other information processing devices. The system aims to perform the data migration process quickly and safely and consists of the following elements. 【0389】 First, the devices used by users have built-in means of collecting data. These means collect information about applications and services installed on the device. In particular, account information, passwords, and user settings are targeted. For example, login information for social networking apps is obtained and recorded. 【0390】 Next, the device uses a means to encrypt the collected data. This ensures a high level of security for the data, which is then stored in a secure location. This process utilizes encryption algorithms such as AES to ensure security. 【0391】 The server receives encrypted data and utilizes means to generate migration information. This generated information serves as a profile for restoring the data to the new data processing device. Based on this profile, the server prepares for data reconstruction. 【0392】 When a new device becomes available, it reconstructs its data based on a profile retrieved from the server. This automatically configures applications and automates the process of logging into services. For example, when a user purchases a new smartphone, it is possible to quickly reproduce their application environment. 【0393】 The introduction of this system will allow users to avoid the cumbersome procedures involved in data migration and smoothly utilize new devices. 【0394】 Examples of prompts for generative AI models 【0395】 1. "Please provide a description of a system that streamlines data migration from smartphones." 【0396】 2. "Please provide specific data recovery procedures when migrating to a new device." 【0397】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0398】 Step 1: 【0399】 The terminal activates the data collection mechanism. The input is a list of applications installed on the terminal. The terminal collects account information, passwords, and user settings information from each application. Specifically, it retrieves information from the application's API or configuration file and stores it in an internal database. The output is the set of retrieved login information. 【0400】 Step 2: 【0401】 The terminal uses a means to encrypt the data. The input is the login information collected in step 1. This information is converted into a secure format by applying an encryption algorithm (e.g., AES). Specifically, the encryption library is called and the login information is encrypted. The output is the encrypted data. 【0402】 Step 3: 【0403】 The terminal sends encrypted data to the server. The input is the encrypted data obtained in step 2. The server receives this data and creates a profile using a means to generate migration information. Specifically, it analyzes the received data and assembles a profile that includes information for reconstruction. The output is the profile to be used in the new terminal. 【0404】 Step 4: 【0405】 When a terminal is configured as a new information processing device, it retrieves a profile from the server. The input is the generated profile. Based on this, the terminal recreates the necessary settings for each application and automatically logs into the service using the login information. Specifically, it analyzes the profile, downloads and installs the relevant applications, and then performs automatic configuration using the retrieved login information. The output is a fully configured new device environment. 【0406】 (Application Example 1) 【0407】 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." 【0408】 The challenge lies in resolving the issue of not being able to safely and quickly transfer user authentication information and settings to new devices during the migration of information processing equipment, which compromises the user experience and security, particularly in purchasing systems such as electronic payments. 【0409】 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. 【0410】 In this invention, the server includes data collection means, information encryption means, profile generation means, information recovery means, and purchasing system operation means. This enables the secure and automatic transfer of user authentication information and settings to a new device, making them immediately usable, particularly in electronic payment applications. 【0411】 "Data collection means" refers to means used in an information processing device to obtain user authentication information and settings. 【0412】 "Information encryption means" refers to a method of encrypting collected authentication information to protect it from unauthorized access. 【0413】 A "profile generation means" is a means of creating a profile based on collected data in preparation for data migration to a new information processing device. 【0414】 "Information recovery means" refers to a method for automatically setting authentication information using a profile in a new information processing device. 【0415】 "Purchasing system operation means" refers to means for smoothly operating a purchasing system, such as electronic payment applications, using data migrated by information restoration means. 【0416】 This invention is a system for streamlining data transfer between information processing devices, and is mainly implemented by the following configuration. 【0417】 The server uses data collection methods to obtain authentication information and user settings from the user's device. This information is obtained securely from applications on smartphones and tablets using Android and iOS APIs. The acquired data is encrypted using information encryption methods and securely stored in a cloud storage service (e.g., AWS S3). 【0418】 The server uses a profile generation mechanism to generate a profile for the new device from encrypted data. The profile is then used by the new information processing device via an information decompression mechanism to automatically configure authentication information. This allows the user to immediately begin using applications and services. This process is particularly intended for use in purchasing systems such as electronic payment applications. The entire process, from launching the electronic payment application on the newly purchased device to retrieving the profile from the server and completing the setup, is automated. 【0419】 For example, if a user purchases a new smartphone and needs to replicate their electronic payment setup, after installing the app, the server provides a profile during the migration phase from the previous device, and the app setup is automatically completed. As a result, the user can quickly resume electronic payments, saving them the hassle of setup. 【0420】 An example of a prompt using a generative AI model would be a question like, "When I purchase a new smartphone, how can I safely and automatically transfer data from my electronic payment app to my old device?" This allows the generative AI to provide support for system operation instructions and problem solving. 【0421】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0422】 Step 1: 【0423】 The device uses data collection methods to obtain user authentication information and application settings. The input is application data within the smartphone, and the output is the collected raw data. The device securely reads data from each application via APIs. 【0424】 Step 2: 【0425】 The terminal encrypts the acquired authentication information using an information encryption method. The input is the raw data obtained in step 1, and the output is the encrypted data. Specifically, the terminal applies an encryption algorithm (e.g., AES) and prepares to transfer the information to cloud storage. 【0426】 Step 3: 【0427】 The server stores encrypted data in secure cloud storage. The input is the encrypted data generated in step 2, and the output is secure data storage in the cloud. The server uses AWS S3 or a similar cloud service to store the data. 【0428】 Step 4: 【0429】 The server uses a profile generation mechanism to create a profile for the new terminal. The input is encrypted data retrieved from cloud storage, and the output is a profile for decompression. The server analyzes and converts the data format to generate a profile that maintains the user's settings. 【0430】 Step 5: 【0431】 The terminal uses an information recovery mechanism to apply the profile to the new terminal and restore the application settings. The input is the profile obtained from the server, and the output is the new terminal with the applications configured. The terminal logs in to each application and automatically restores the user's past settings. 【0432】 Step 6: 【0433】 The user can immediately begin using the electronic payment application on the new terminal. The input is the terminal configured in step 5, and the output is the usable electronic payment application. The user can continue to use existing functions without reconfiguration. 【0434】 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. 【0435】 This invention relates to a system that combines a data migration process for smartphones and other information processing devices with an emotion engine for recognizing user emotions. The system aims to improve the user experience by monitoring the user's emotional state in real time at each stage of data migration. 【0436】 The terminal first obtains necessary login information and application settings from the current device via a data collection mechanism. This information is encrypted using data encryption and securely stored on the server. The server generates a profile based on this data and prepares for migration to the new device. 【0437】 The emotion engine analyzes the user's facial expressions and voice patterns to detect stress and anxiety. Based on this information, the system adjusts the guidance provided by the server, offering assistance to mitigate any difficulties the user may face during data migration. For example, if the emotion engine determines that the user is stressed, the terminal will display a concise and easy-to-understand guidance message from the server. 【0438】 When a new device becomes available, the data recovery mechanism uses a profile from the server to restore login information and app settings to the new device. During this time, the emotion engine assesses user satisfaction and, if necessary, can temporarily suspend the process to provide more detailed support. 【0439】 As a concrete example, consider a scenario where a user acquires a new smartphone and migrates data from their old device. In this case, the device utilizes an emotion engine to support the user in smoothly completing the migration process. Especially for users unfamiliar with technology, support from the emotion engine is expected to reduce anxiety during the migration and improve the overall user experience. 【0440】 The following describes the processing flow. 【0441】 Step 1: 【0442】 The device collects login information and user settings from the application being used using data collection methods. Simultaneously, the emotion engine analyzes the user's facial expressions and voice to evaluate their initial emotional state. 【0443】 Step 2: 【0444】 The device encrypts the information it collects using data encryption methods and stores it in secure storage. The emotion engine continuously assesses whether the user is calm, and if there are signs of stress, it displays an on-screen message encouraging the user to relax. 【0445】 Step 3: 【0446】 The server receives encrypted data from the terminal and uses a profile generation mechanism to create a profile that prepares the user for migration to a new terminal. Based on feedback from the emotion engine, the server sends helpful information to the user during the profile transfer. 【0447】 Step 4: 【0448】 When a user receives a new device, the server sends a migration profile to the new device. The sentiment engine monitors the user's reactions and adjusts support as needed. 【0449】 Step 5: 【0450】 The device automatically begins data recovery using the profile received from the server. This includes application installation and automatic entry of login information. The emotion engine monitors the user's emotional state throughout the process, and if the user becomes anxious, the device provides encouraging messages and guidance. 【0451】 Step 6: 【0452】 Data recovery is complete, and the user can verify all applications and settings on the new device. The emotion engine assesses the user's satisfaction and reassures them by notifying them that the process was successful. 【0453】 (Example 2) 【0454】 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." 【0455】 In the data migration process for information processing equipment, a lack of support tailored to the user's emotional state is a problem that easily leads to anxiety and stress. Especially for users unfamiliar with technology, data migration is a complex and time-consuming operation, and problems during this process can impair the user experience. Furthermore, the proper protection of personal information is also crucial. 【0456】 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. 【0457】 In this invention, the server includes a data acquisition device, a data protection device, a profile generation device, a data recovery device, and an emotion analysis device. This makes it possible to smoothly transfer data from information processing equipment according to the user's emotional state, while also improving the user experience and securely protecting personal data. 【0458】 A "data acquisition device" is a device that collects specific identification information or configuration information from information processing equipment. 【0459】 A "data protection device" is a device used to encrypt and securely store collected identification information. 【0460】 A "profile generation device" is a device that creates configuration profiles to facilitate the transition to new information processing equipment. 【0461】 A "data recovery device" is a device that uses profiles to recover data and identification information from new information processing equipment and automatically inputs it. 【0462】 An "emotion analysis device" is a device that analyzes the user's facial expressions and tone of voice to evaluate their emotional state in real time and adjust the support provided accordingly. 【0463】 This invention is a system for facilitating data transfer between information processing devices. The system aims to understand the user's emotional state and optimize the transfer process. 【0464】 The terminal begins by collecting important identification information and user settings from existing information processing equipment using a data acquisition device. Next, it encrypts this information using a data protection device and transmits it to the server over the internet. This encryption is performed using security software and is essential to ensure data security. 【0465】 The server uses a profile generator to create a user configuration profile based on the received information. This profile is like a blueprint that enables smooth data recovery to new information processing equipment. The server then sends the profile to a data recovery device, which is applied to the new information processing equipment to recreate the user's environment. 【0466】 An emotion analysis device detects the user's stress and anxiety by analyzing their facial expressions and voice. Based on this information, the server provides assistance tailored to the user's emotional state and sends appropriate guidance to the terminal. For example, if the user is confused during the transition, the terminal displays a reassuring message such as, "If you have any trouble understanding the procedure, we will support you immediately." 【0467】 Furthermore, this system utilizes a generative AI model to provide appropriate answers to user questions. For example, when a user enters the prompt, "I'm trying to transfer data to a new smartphone, but I don't know how. Please help," the system will guide them through the steps in detail. 【0468】 In this way, the present invention can improve the user experience by ensuring that owners of information processing equipment feel secure during the transition process and by providing necessary support in a timely manner. 【0469】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0470】 Step 1: 【0471】 The terminal uses a data acquisition device to collect identification information and user settings from existing information processing equipment. This process involves accessing existing application settings and login information through the system interface. The collected information becomes the input to the data acquisition device. The output is the sending of this information to the data protection device. Specifically, the terminal repeatedly acquires setting data for each application and then aggregates all the data. 【0472】 Step 2: 【0473】 The terminal encrypts the collected information using a data protection device. Here, a security algorithm is used to encrypt the data and prevent unauthorized access. This encrypted data is then securely transferred to the server. Specifically, the terminal executes the encryption algorithm and prepares to send the resulting encrypted data to the server. 【0474】 Step 3: 【0475】 The server receives encrypted data and creates a migration profile using a profile generator. It analyzes the received data, confirming the information structure and incorporating it into the profile. This is the output of the profile generator, and the system is ready for migration to the new information processing equipment. The server analyzes the data necessary to generate the profile and converts it into a unified format. 【0476】 Step 4: 【0477】 The server sends the generated profile to the data recovery device and begins data recovery on the new information processing equipment. The server transfers the profile to the new equipment, and the data recovery device applies the settings based on that profile. The recovered data and configuration information are output. Specifically, the data recovery device sequentially applies each setting to the new equipment, thereby rebuilding the original environment. 【0478】 Step 5: 【0479】 The device monitors the user's emotional state using an emotion analysis device. This allows it to determine if the user is experiencing anxiety or stress, and displays timely support messages from the server to the device. The results of the emotion analysis are fed back to the server, and guidance based on this analysis is provided. Specifically, the device analyzes the user's video data, detecting and evaluating changes in facial expressions. 【0480】 Step 6: 【0481】 The user inputs a prompt into a generating AI model, conveying the question to the support team. The user's input undergoes heuristic analysis, and an appropriate answer is provided. The answer provided by the generating AI model is the output, deepening the user's understanding. Specifically, if the user inputs a message such as "Data migration is not working properly, please help," the AI ​​will guide them through the system usage procedure. 【0482】 (Application Example 2) 【0483】 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." 【0484】 The challenge lies in reducing the psychological burden and stress on users during the data migration process and providing a smooth experience. Furthermore, secure management of authentication information and efficient automated data entry are necessary during the migration of information processing equipment. Additionally, providing flexible support tailored to the user's emotional state is essential to improving the overall experience. 【0485】 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. 【0486】 In this invention, the server includes a data collection member, a data encryption member, a profile generation member, a data recovery member, and an emotion analysis member. This enables the secure management and efficient transfer of authentication information while adjusting guidance messages based on the user's emotional state, and facilitates smooth data migration while reducing psychological burden. 【0487】 A "data collection component" is an element that has the function of obtaining necessary authentication information from an information processing device. 【0488】 A "data encryption component" is an element that has the function of encrypting and storing acquired authentication information in order to keep it secure. 【0489】 A "profile generation component" is an element that has the function of generating individualized settings in order to plan a smooth data migration to new information processing equipment. 【0490】 A "data recovery component" is an element that uses a profile to recover information on a new device and has the function of automatically entering authentication information. 【0491】 An "emotion analysis component" is an element that analyzes the user's emotional state and adjusts guidance messages based on the results. 【0492】 In this invention, first, the terminal uses a data collection component to acquire authentication information from the current information processing equipment, encrypts that information using a data encryption component, and securely stores it on the server. The server uses a profile generation component to plan the data migration to the new information processing equipment and generates an individualized profile. This profile includes settings and authentication information previously used by the user. 【0493】 Furthermore, this system includes an emotion analysis component that analyzes the user's emotional state in real time. To do this, the smartphone's camera and microphone capture the user's facial expressions and voice, and the emotion analysis algorithm analyzes them. Based on this analysis, the server adjusts guidance regarding data migration as needed to mitigate any frustration the user may experience. 【0494】 As a concrete example, imagine a scenario where a user acquires a new smartphone and transfers data from their old device. During this process, the device monitors the user's emotions in real time, and if stress is detected, it displays a simple, reassuring message such as, "This process is safe. Please proceed calmly." 【0495】 An example of a prompt for a generative AI model is, "Create Python code that identifies a user's emotions when making an online payment and generates a situation-appropriate guidance message." Using this prompt, it is possible to quickly generate a program that provides customized guidance messages tailored to the user's emotional state. 【0496】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0497】 Step 1: 【0498】 The terminal uses data collection components to obtain authentication information from existing information processing equipment. This information includes the user's application settings and login information. Because the obtained data poses a security risk in its raw form, the process proceeds to the next step. 【0499】 Step 2: 【0500】 The device uses data encryption components to encrypt the acquired authentication information. This encrypted data is securely transmitted to and stored on the server. The encryption process uses advanced encryption algorithms to prevent data from being leaked to third parties. This ensures the security of the data. 【0501】 Step 3: 【0502】 The server uses a profile generation component to generate a profile from the transmitted encrypted data. This profile includes user authentication information and application settings, and is used to plan for migration to new information processing equipment. Profile generation individualizes the data and customizes it according to the user's requirements. 【0503】 Step 4: 【0504】 The server uses emotion analysis components to analyze the user's emotional state in real time. The smartphone's camera and microphone capture the user's facial expressions and voice, and the emotion analysis algorithm evaluates stress levels, feelings of security, and other factors. The results of this analysis are used to adjust guidance to ensure a smooth data migration. 【0505】 Step 5: 【0506】 Based on instructions from the server, the terminal uses data recovery components to restore the profile on the new information processing equipment. This recovery process decodes encrypted authentication information and automatically populates application settings. This allows the user to smoothly begin working on the new device. 【0507】 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. 【0508】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0509】 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. 【0510】 [Fourth Embodiment] 【0511】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0512】 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. 【0513】 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). 【0514】 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. 【0515】 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. 【0516】 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). 【0517】 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. 【0518】 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. 【0519】 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. 【0520】 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. 【0521】 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. 【0522】 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. 【0523】 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". 【0524】 This invention provides a system for efficiently and automatically transferring data from smartphones and other information processing devices. The user's device first uses data collection means to obtain login information for applications and services installed on the device. This includes application account information, passwords, user settings, and so on. 【0525】 The device then uses data encryption methods to encrypt the collected information and store it in secure storage to protect it from unauthorized access. This process ensures the security of the user's personal data. 【0526】 The server utilizes profile generation methods as needed to prepare for data migration to the new terminal. Specifically, it creates a profile based on the stored data and formats it in a format that is easy to restore. 【0527】 When a new device becomes available, the data recovery system retrieves the profile from the server and begins the automatic restoration of user data. During the restoration process, the device installs new applications and services and automatically logs in using existing login information. As a result, users can immediately begin using applications and services, and their environment from the previous device is faithfully reproduced. 【0528】 As a concrete example, when a user's device malfunctions, they purchase a new device and begin the data migration process. The new device retrieves profile information from the server and automatically installs all applications, allowing the user to immediately resume work or entertainment on the new device. This system frees users from the hassle of data migration, making smartphone use more convenient. 【0529】 The following describes the processing flow. 【0530】 Step 1: 【0531】 The device scans the applications and services being used to retrieve login information (user ID, password) and personal settings. 【0532】 Step 2: 【0533】 The device encrypts the acquired information using data encryption methods and stores it in secure storage. 【0534】 Step 3: 【0535】 The server receives encrypted data securely transferred from the terminal and uses a profile generation mechanism to create a migration profile for the new terminal. 【0536】 Step 4: 【0537】 When a new device connects to the network, the server sends a migration profile to the new device. 【0538】 Step 5: 【0539】 The device begins restoring user data using the profile received from the server. This includes reinstalling applications and automatically filling in login information. 【0540】 Step 6: 【0541】 The user confirms on the new device that the data recovery was completed without any problems. 【0542】 (Example 1) 【0543】 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". 【0544】 Data migration is often a time-consuming and cumbersome process when switching to a new smartphone or information processing device. Traditional methods require users to manually reconfigure information for each application, which can pose security risks. This invention aims to solve these problems by streamlining and automating the data migration process. 【0545】 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. 【0546】 In this invention, the server includes means for collecting data, means for encrypting the data and maintaining it in a secure storage location, and means for generating migration information based on the received data. This enables rapid and secure data migration to a new information processing device. 【0547】 "Means of collecting data" refers to functions for obtaining relevant information from applications and services installed on smartphones and information processing devices. 【0548】 "Means of encrypting and maintaining in a secure storage location" refers to technologies that use encryption algorithms to protect acquired data from unauthorized access and store it in a secure environment. 【0549】 "A means of generating migration information based on received data" refers to the process of generating a profile for migrating data to a new information processing device based on encrypted data. 【0550】 "Means for reconstructing data" refers to a function that uses the generated migration information to restore the original data environment on a new information processing device. 【0551】 "A means of automatically configuring applications and automating login operations for services" refers to a function that configures each application based on the recovered data and automates the necessary login process. 【0552】 "Means that allow data migration to be adjusted according to user selection" refers to a setting function that allows users to specify the scope and content of the data to be migrated. 【0553】 This invention provides a system for efficiently and automatically migrating data from smartphones and other information processing devices. The system aims to perform the data migration process quickly and safely and consists of the following elements. 【0554】 First, the devices used by users have built-in means of collecting data. These means collect information about applications and services installed on the device. In particular, account information, passwords, and user settings are targeted. For example, login information for social networking apps is obtained and recorded. 【0555】 Next, the device uses a means to encrypt the collected data. This ensures a high level of security for the data, which is then stored in a secure location. This process utilizes encryption algorithms such as AES to ensure security. 【0556】 The server receives encrypted data and utilizes means to generate migration information. This generated information serves as a profile for restoring the data to the new data processing device. Based on this profile, the server prepares for data reconstruction. 【0557】 When a new device becomes available, it reconstructs its data based on a profile retrieved from the server. This automatically configures applications and automates the process of logging into services. For example, when a user purchases a new smartphone, it is possible to quickly reproduce their application environment. 【0558】 The introduction of this system will allow users to avoid the cumbersome procedures involved in data migration and smoothly utilize new devices. 【0559】 Examples of prompts for generative AI models 【0560】 1. "Please provide a description of a system that streamlines data migration from smartphones." 【0561】 2. "Please provide specific data recovery procedures when migrating to a new device." 【0562】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0563】 Step 1: 【0564】 The terminal activates the data collection mechanism. The input is a list of applications installed on the terminal. The terminal collects account information, passwords, and user settings information from each application. Specifically, it retrieves information from the application's API or configuration file and stores it in an internal database. The output is the set of retrieved login information. 【0565】 Step 2: 【0566】 The terminal uses a means to encrypt the data. The input is the login information collected in step 1. This information is converted into a secure format by applying an encryption algorithm (e.g., AES). Specifically, the encryption library is called and the login information is encrypted. The output is the encrypted data. 【0567】 Step 3: 【0568】 The terminal sends encrypted data to the server. The input is the encrypted data obtained in step 2. The server receives this data and creates a profile using a means to generate migration information. Specifically, it analyzes the received data and assembles a profile that includes information for reconstruction. The output is the profile to be used in the new terminal. 【0569】 Step 4: 【0570】 When a terminal is configured as a new information processing device, it retrieves a profile from the server. The input is the generated profile. Based on this, the terminal recreates the necessary settings for each application and automatically logs into the service using the login information. Specifically, it analyzes the profile, downloads and installs the relevant applications, and then performs automatic configuration using the retrieved login information. The output is a fully configured new device environment. 【0571】 (Application Example 1) 【0572】 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". 【0573】 The challenge lies in resolving the issue of not being able to safely and quickly transfer user authentication information and settings to new devices during the migration of information processing equipment, which compromises the user experience and security, particularly in purchasing systems such as electronic payments. 【0574】 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. 【0575】 In this invention, the server includes data collection means, information encryption means, profile generation means, information recovery means, and purchasing system operation means. This enables the secure and automatic transfer of user authentication information and settings to a new device, making them immediately usable, particularly in electronic payment applications. 【0576】 "Data collection means" refers to means used in an information processing device to obtain user authentication information and settings. 【0577】 "Information encryption means" refers to a method of encrypting collected authentication information to protect it from unauthorized access. 【0578】 A "profile generation means" is a means of creating a profile based on collected data in preparation for data migration to a new information processing device. 【0579】 "Information recovery means" refers to a method for automatically setting authentication information using a profile in a new information processing device. 【0580】 "Purchasing system operation means" refers to means for smoothly operating a purchasing system, such as electronic payment applications, using data migrated by information restoration means. 【0581】 This invention is a system for streamlining data transfer between information processing devices, and is mainly implemented by the following configuration. 【0582】 The server uses data collection methods to obtain authentication information and user settings from the user's device. This information is obtained securely from applications on smartphones and tablets using Android and iOS APIs. The acquired data is encrypted using information encryption methods and securely stored in a cloud storage service (e.g., AWS S3). 【0583】 The server uses a profile generation mechanism to generate a profile for the new device from encrypted data. The profile is then used by the new information processing device via an information decompression mechanism to automatically configure authentication information. This allows the user to immediately begin using applications and services. This process is particularly intended for use in purchasing systems such as electronic payment applications. The entire process, from launching the electronic payment application on the newly purchased device to retrieving the profile from the server and completing the setup, is automated. 【0584】 For example, if a user purchases a new smartphone and needs to replicate their electronic payment setup, after installing the app, the server provides a profile during the migration phase from the previous device, and the app setup is automatically completed. As a result, the user can quickly resume electronic payments, saving them the hassle of setup. 【0585】 An example of a prompt using a generative AI model would be a question like, "When I purchase a new smartphone, how can I safely and automatically transfer data from my electronic payment app to my old device?" This allows the generative AI to provide support for system operation instructions and problem solving. 【0586】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0587】 Step 1: 【0588】 The device uses data collection methods to obtain user authentication information and application settings. The input is application data within the smartphone, and the output is the collected raw data. The device securely reads data from each application via APIs. 【0589】 Step 2: 【0590】 The terminal encrypts the acquired authentication information using an information encryption method. The input is the raw data obtained in step 1, and the output is the encrypted data. Specifically, the terminal applies an encryption algorithm (e.g., AES) and prepares to transfer the information to cloud storage. 【0591】 Step 3: 【0592】 The server stores encrypted data in secure cloud storage. The input is the encrypted data generated in step 2, and the output is secure data storage in the cloud. The server uses AWS S3 or a similar cloud service to store the data. 【0593】 Step 4: 【0594】 The server uses a profile generation mechanism to create a profile for the new terminal. The input is encrypted data retrieved from cloud storage, and the output is a profile for decompression. The server analyzes and converts the data format to generate a profile that maintains the user's settings. 【0595】 Step 5: 【0596】 The terminal uses an information recovery mechanism to apply the profile to the new terminal and restore the application settings. The input is the profile obtained from the server, and the output is the new terminal with the applications configured. The terminal logs in to each application and automatically restores the user's past settings. 【0597】 Step 6: 【0598】 The user can immediately begin using the electronic payment application on the new terminal. The input is the terminal configured in step 5, and the output is the usable electronic payment application. The user can continue to use existing functions without reconfiguration. 【0599】 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. 【0600】 This invention relates to a system that combines a data migration process for smartphones and other information processing devices with an emotion engine for recognizing user emotions. The system aims to improve the user experience by monitoring the user's emotional state in real time at each stage of data migration. 【0601】 The terminal first obtains necessary login information and application settings from the current device via a data collection mechanism. This information is encrypted using data encryption and securely stored on the server. The server generates a profile based on this data and prepares for migration to the new device. 【0602】 The emotion engine analyzes the user's facial expressions and voice patterns to detect stress and anxiety. Based on this information, the system adjusts the guidance provided by the server, offering assistance to mitigate any difficulties the user may face during data migration. For example, if the emotion engine determines that the user is stressed, the terminal will display a concise and easy-to-understand guidance message from the server. 【0603】 When a new device becomes available, the data recovery mechanism uses a profile from the server to restore login information and app settings to the new device. During this time, the emotion engine assesses user satisfaction and, if necessary, can temporarily suspend the process to provide more detailed support. 【0604】 As a concrete example, consider a scenario where a user acquires a new smartphone and migrates data from their old device. In this case, the device utilizes an emotion engine to support the user in smoothly completing the migration process. Especially for users unfamiliar with technology, support from the emotion engine is expected to reduce anxiety during the migration and improve the overall user experience. 【0605】 The following describes the processing flow. 【0606】 Step 1: 【0607】 The device collects login information and user settings from the application being used using data collection methods. Simultaneously, the emotion engine analyzes the user's facial expressions and voice to evaluate their initial emotional state. 【0608】 Step 2: 【0609】 The device encrypts the information it collects using data encryption methods and stores it in secure storage. The emotion engine continuously assesses whether the user is calm, and if there are signs of stress, it displays an on-screen message encouraging the user to relax. 【0610】 Step 3: 【0611】 The server receives encrypted data from the terminal and uses a profile generation mechanism to create a profile that prepares the user for migration to a new terminal. Based on feedback from the emotion engine, the server sends helpful information to the user during the profile transfer. 【0612】 Step 4: 【0613】 When a user receives a new device, the server sends a migration profile to the new device. The sentiment engine monitors the user's reactions and adjusts support as needed. 【0614】 Step 5: 【0615】 The device automatically begins data recovery using the profile received from the server. This includes application installation and automatic entry of login information. The emotion engine monitors the user's emotional state throughout the process, and if the user becomes anxious, the device provides encouraging messages and guidance. 【0616】 Step 6: 【0617】 Data recovery is complete, and the user can verify all applications and settings on the new device. The emotion engine assesses the user's satisfaction and reassures them by notifying them that the process was successful. 【0618】 (Example 2) 【0619】 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". 【0620】 In the data migration process for information processing equipment, a lack of support tailored to the user's emotional state is a problem that easily leads to anxiety and stress. Especially for users unfamiliar with technology, data migration is a complex and time-consuming operation, and problems during this process can impair the user experience. Furthermore, the proper protection of personal information is also crucial. 【0621】 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. 【0622】 In this invention, the server includes a data acquisition device, a data protection device, a profile generation device, a data recovery device, and an emotion analysis device. This makes it possible to smoothly transfer data from information processing equipment according to the user's emotional state, while also improving the user experience and securely protecting personal data. 【0623】 A "data acquisition device" is a device that collects specific identification information or configuration information from information processing equipment. 【0624】 A "data protection device" is a device used to encrypt and securely store collected identification information. 【0625】 A "profile generation device" is a device that creates configuration profiles to facilitate the transition to new information processing equipment. 【0626】 A "data recovery device" is a device that uses profiles to recover data and identification information from new information processing equipment and automatically inputs it. 【0627】 An "emotion analysis device" is a device that analyzes the user's facial expressions and tone of voice to evaluate their emotional state in real time and adjust the support provided accordingly. 【0628】 This invention is a system for facilitating data transfer between information processing devices. The system aims to understand the user's emotional state and optimize the transfer process. 【0629】 The terminal begins by collecting important identification information and user settings from existing information processing equipment using a data acquisition device. Next, it encrypts this information using a data protection device and transmits it to the server over the internet. This encryption is performed using security software and is essential to ensure data security. 【0630】 The server uses a profile generator to create a user configuration profile based on the received information. This profile is like a blueprint that enables smooth data recovery to new information processing equipment. The server then sends the profile to a data recovery device, which is applied to the new information processing equipment to recreate the user's environment. 【0631】 An emotion analysis device detects the user's stress and anxiety by analyzing their facial expressions and voice. Based on this information, the server provides assistance tailored to the user's emotional state and sends appropriate guidance to the terminal. For example, if the user is confused during the transition, the terminal displays a reassuring message such as, "If you have any trouble understanding the procedure, we will support you immediately." 【0632】 Furthermore, this system utilizes a generative AI model to provide appropriate answers to user questions. For example, when a user enters the prompt, "I'm trying to transfer data to a new smartphone, but I don't know how. Please help," the system will guide them through the steps in detail. 【0633】 In this way, the present invention can improve the user experience by ensuring that owners of information processing equipment feel secure during the transition process and by providing necessary support in a timely manner. 【0634】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0635】 Step 1: 【0636】 The terminal uses a data acquisition device to collect identification information and user settings from existing information processing equipment. This process involves accessing existing application settings and login information through the system interface. The collected information becomes the input to the data acquisition device. The output is the sending of this information to the data protection device. Specifically, the terminal repeatedly acquires setting data for each application and then aggregates all the data. 【0637】 Step 2: 【0638】 The terminal encrypts the collected information using a data protection device. Here, a security algorithm is used to encrypt the data and prevent unauthorized access. This encrypted data is then securely transferred to the server. Specifically, the terminal executes the encryption algorithm and prepares to send the resulting encrypted data to the server. 【0639】 Step 3: 【0640】 The server receives encrypted data and creates a migration profile using a profile generator. It analyzes the received data, confirming the information structure and incorporating it into the profile. This is the output of the profile generator, and the system is ready for migration to the new information processing equipment. The server analyzes the data necessary to generate the profile and converts it into a unified format. 【0641】 Step 4: 【0642】 The server sends the generated profile to the data recovery device and begins data recovery on the new information processing equipment. The server transfers the profile to the new equipment, and the data recovery device applies the settings based on that profile. The recovered data and configuration information are output. Specifically, the data recovery device sequentially applies each setting to the new equipment, thereby rebuilding the original environment. 【0643】 Step 5: 【0644】 The device monitors the user's emotional state using an emotion analysis device. This allows it to determine if the user is experiencing anxiety or stress, and displays timely support messages from the server to the device. The results of the emotion analysis are fed back to the server, and guidance based on this analysis is provided. Specifically, the device analyzes the user's video data, detecting and evaluating changes in facial expressions. 【0645】 Step 6: 【0646】 The user inputs a prompt into a generating AI model, conveying the question to the support team. The user's input undergoes heuristic analysis, and an appropriate answer is provided. The answer provided by the generating AI model is the output, deepening the user's understanding. Specifically, if the user inputs a message such as "Data migration is not working properly, please help," the AI ​​will guide them through the system usage procedure. 【0647】 (Application Example 2) 【0648】 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". 【0649】 The challenge lies in reducing the psychological burden and stress on users during the data migration process and providing a smooth experience. Furthermore, secure management of authentication information and efficient automated data entry are necessary during the migration of information processing equipment. Additionally, providing flexible support tailored to the user's emotional state is essential to improving the overall experience. 【0650】 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. 【0651】 In this invention, the server includes a data collection member, a data encryption member, a profile generation member, a data recovery member, and an emotion analysis member. This enables the secure management and efficient transfer of authentication information while adjusting guidance messages based on the user's emotional state, and facilitates smooth data migration while reducing psychological burden. 【0652】 A "data collection component" is an element that has the function of obtaining necessary authentication information from an information processing device. 【0653】 A "data encryption component" is an element that has the function of encrypting and storing acquired authentication information in order to keep it secure. 【0654】 A "profile generation component" is an element that has the function of generating individualized settings in order to plan a smooth data migration to new information processing equipment. 【0655】 A "data recovery component" is an element that uses a profile to recover information on a new device and has the function of automatically entering authentication information. 【0656】 An "emotion analysis component" is an element that analyzes the user's emotional state and adjusts guidance messages based on the results. 【0657】 In this invention, first, the terminal uses a data collection component to acquire authentication information from the current information processing equipment, encrypts that information using a data encryption component, and securely stores it on the server. The server uses a profile generation component to plan the data migration to the new information processing equipment and generates an individualized profile. This profile includes settings and authentication information previously used by the user. 【0658】 Furthermore, this system includes an emotion analysis component that analyzes the user's emotional state in real time. To do this, the smartphone's camera and microphone capture the user's facial expressions and voice, and the emotion analysis algorithm analyzes them. Based on this analysis, the server adjusts guidance regarding data migration as needed to mitigate any frustration the user may experience. 【0659】 As a concrete example, imagine a scenario where a user acquires a new smartphone and transfers data from their old device. During this process, the device monitors the user's emotions in real time, and if stress is detected, it displays a simple, reassuring message such as, "This process is safe. Please proceed calmly." 【0660】 An example of a prompt for a generative AI model is, "Create Python code that identifies a user's emotions when making an online payment and generates a situation-appropriate guidance message." Using this prompt, it is possible to quickly generate a program that provides customized guidance messages tailored to the user's emotional state. 【0661】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0662】 Step 1: 【0663】 The terminal uses data collection components to obtain authentication information from existing information processing equipment. This information includes the user's application settings and login information. Because the obtained data poses a security risk in its raw form, the process proceeds to the next step. 【0664】 Step 2: 【0665】 The device uses data encryption components to encrypt the acquired authentication information. This encrypted data is securely transmitted to and stored on the server. The encryption process uses advanced encryption algorithms to prevent data from being leaked to third parties. This ensures the security of the data. 【0666】 Step 3: 【0667】 The server uses a profile generation component to generate a profile from the transmitted encrypted data. This profile includes user authentication information and application settings, and is used to plan for migration to new information processing equipment. Profile generation individualizes the data and customizes it according to the user's requirements. 【0668】 Step 4: 【0669】 The server uses emotion analysis components to analyze the user's emotional state in real time. The smartphone's camera and microphone capture the user's facial expressions and voice, and the emotion analysis algorithm evaluates stress levels, feelings of security, and other factors. The results of this analysis are used to adjust guidance to ensure a smooth data migration. 【0670】 Step 5: 【0671】 Based on instructions from the server, the terminal uses data recovery components to restore the profile on the new information processing equipment. This recovery process decodes encrypted authentication information and automatically populates application settings. This allows the user to smoothly begin working on the new device. 【0672】 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. 【0673】 Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. 【0674】 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. 【0675】 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. 【0676】 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. 【0677】 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. 【0678】 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. 【0679】 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. 【0680】 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." 【0681】 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. 【0682】 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. 【0683】 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. 【0684】 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. 【0685】 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. 【0686】 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. 【0687】 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. 【0688】 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. 【0689】 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. 【0690】 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. 【0691】 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. 【0692】 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. 【0693】 The following is further disclosed regarding the embodiments described above. 【0694】 (Claim 1) 【0695】 Data collection means, 【0696】 A data encryption means that encrypts and stores the login information collected by the aforementioned data collection means, 【0697】 A profile generation means for preparing data migration to a new information processing device, 【0698】 A data recovery means that uses the aforementioned profile to recover data on the new information processing device and automatically inputs login information, 【0699】 A system that includes this. 【0700】 (Claim 2) 【0701】 The system according to claim 1, wherein the data recovery means is configured to automatically log in to the service. 【0702】 (Claim 3) 【0703】 The system according to claim 1, which enables the profile generation means to customize data migration based on user selection. 【0704】 "Example 1" 【0705】 (Claim 1) 【0706】 Means of collecting data, 【0707】 Means for encrypting the aforementioned data and maintaining it in a secure storage location, 【0708】 A means of generating migration information based on received data, 【0709】 A means for reconstructing data in a new information processing device using the aforementioned migration information, 【0710】 A system that includes this. 【0711】 (Claim 2) 【0712】 The system according to claim 1, wherein the new information processing device is configured to automatically set up an application and automate login operations for a service. 【0713】 (Claim 3) 【0714】 The system according to claim 1, wherein the migration information generation means can adjust data migration according to the user's selection. 【0715】 "Application Example 1" 【0716】 (Claim 1) 【0717】 Data collection means, 【0718】 An information encryption means for encrypting and storing authentication information collected by the aforementioned data collection means, 【0719】 A profile generation means for preparing data migration to a new information processing device, 【0720】 Information recovery means for recovering data using the profile and automatically inputting authentication information in the new information processing device, 【0721】 Means that enable the information restoration means to be operated in the purchasing system, 【0722】 A system that includes this. 【0723】 (Claim 2) 【0724】 The system according to claim 1, wherein the information recovery means is configured to automatically log in to the transaction service. 【0725】 (Claim 3) 【0726】 The system according to claim 1, wherein the profile generation means enables the transition to be adjusted based on user selection. 【0727】 "Example 2 of combining an emotion engine" 【0728】 (Claim 1) 【0729】 Data acquisition device, 【0730】 A data protection device that encrypts and stores the identification information acquired by the data acquisition device, 【0731】 A profile generation device that prepares data transfer to new information processing equipment, 【0732】 A data recovery device that uses the aforementioned profile to recover data on the new information processing device and automatically inputs identification information, 【0733】 An emotion analysis device that analyzes the user's emotional state and adjusts the operation support accordingly, 【0734】 A system that includes this. 【0735】 (Claim 2) 【0736】 The system according to claim 1, wherein the data recovery device is configured to automatically log in to the service. 【0737】 (Claim 3) 【0738】 The system according to claim 1, wherein the profile generating device is capable of adjusting data transfer based on the user's selection. 【0739】 "Application example 2 when combining with an emotional engine" 【0740】 (Claim 1) 【0741】 Data collection member, 【0742】 A data encryption member encrypts and stores the authentication information collected by the data collection member, 【0743】 A profile generation component for planning data transfer to new information processing equipment, 【0744】 A data recovery component that uses the aforementioned profile to recover information on the new information processing device and automatically inputs authentication information, 【0745】 An emotion analysis component that analyzes the user's emotional state and adjusts guidance messages based on the emotion recognition results, 【0746】 A system that includes this. 【0747】 (Claim 2) 【0748】 The system according to claim 1, wherein the data recovery member is configured to automatically log in to an information service. 【0749】 (Claim 3) 【0750】 The system according to claim 1, wherein the profile generation member enables the personalization of data transfer based on user selection. [Explanation of Symbols] 【0751】 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] Data collection means, A data encryption means that encrypts and stores the login information collected by the aforementioned data collection means, A profile generation means for preparing data migration to a new information processing device, A data recovery means that uses the aforementioned profile to recover data on the new information processing device and automatically inputs login information, A system that includes this. [Claim 2] The system according to claim 1, wherein the data recovery means is configured to automatically log in to the service. [Claim 3] The system according to claim 1, which enables the profile generation means to customize data migration based on user selection.

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