system

Abstract

Provide a system. 【Solution means】 Means for storing user authentication information in a storage element; Means for automatically accessing a specified application program using the user authentication information; Means for synchronizing user information stored in another device after the access; Means for querying an external information source when the authentication information is unknown; Means for updating authentication information based on the query result; Means for integrally managing digital terminal data of residents; Means for automatically synchronizing personal settings and service information to a new terminal; A system including the above.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] Data transfer during smartphone model changes or failures is a significant burden on users, especially in the senior layer where resetting data and applications is cumbersome. In this procedure, users need to manage and newly set a large number of IDs and passwords, which also poses risks of operation errors and information leakage. Therefore, there is a need for a method that can significantly save users' effort and perform data transfer safely and quickly.

Means for Solving the Problems

[0005] This invention provides a system that simplifies data migration by using an AI agent to store user authentication information and perform automatic login. Specifically, it includes means for storing user authentication information in a storage device and automatically logging into applications, as well as a function to synchronize user data stored on other devices. In addition, if the authentication information is unknown, it has means for querying an external database and updating the authentication information based on the retrieved information. This allows users to perform data migration safely and efficiently without having to perform complex settings.

[0006] "User authentication information" refers to the set of IDs and passwords required for a user to access various applications and systems.

[0007] A "storage device" refers to a hardware device or media used to store data and information, and is a tool that enables long-term storage and immediate retrieval of data.

[0008] "Automatic login" refers to the process of gaining access to a system or application using saved credentials without any manual action by the user.

[0009] "Synchronization" refers to the process of copying and updating data to ensure consistency across different devices and platforms.

[0010] An "external database" is a database that exists separately from the main system, is accessible via a network connection, and is used to retrieve information from external sources.

[0011] An "inquiry" refers to the process of making requests or asking questions to a system or database in order to obtain specific information or answers.

[0012] "Updating authentication information" refers to the act of replacing outdated or required changes in user authentication information with new information to keep it up-to-date. [Brief explanation of the drawing]

[0013] [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]It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0014] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be one arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be one type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include 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.

[0017] 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.

[0018] 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, etc.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] 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."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] 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.

[0024] 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).

[0025] 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.

[0026] 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.

[0027] 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.

[0028] 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.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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".

[0034] The present invention provides a means for easily and securely automating data migration when a user changes smartphones. This system begins by securely storing the user's authentication information in a storage device and automatically logging into each application as needed.

[0035] Specifically, the device securely encrypts the ID and password entered by the user during the initial login and stores them in its storage device. This allows the device to automatically attempt login using the stored credentials when the user accesses the application again using the same device.

[0036] Furthermore, the device can synchronize user data and application settings backed up in the cloud. To do this, the device communicates with a server, retrieves the backup data, and restores it to the new device.

[0037] If the user's authentication information is unknown, the AI ​​agent automatically contacts the support service for each application. During the inquiry process, the AI ​​agent securely obtains the necessary information and updates the authentication information.

[0038] For example, when a user purchases a new smartphone and begins the initial setup, the device automatically logs into applications using previously saved IDs and passwords. Afterward, the device synchronizes backup data from the cloud and restores the user's application settings and contact information to the new smartphone. Once the restoration process is complete on the device, the user can operate the smartphone in the same environment as before.

[0039] Thus, the system of the present invention allows users to semi-automate the data migration process when changing devices, significantly reducing the amount of detailed settings and verification work required. For a wide range of users, including seniors, this automated process saves time and effort, providing a more comfortable smartphone experience.

[0040] The following describes the processing flow.

[0041] Step 1:

[0042] The device prompts the user to enter their ID and password when logging into each application, encrypts them, and stores them in its storage device. This procedure is performed the first time the user uses a particular application.

[0043] Step 2:

[0044] The device periodically communicates with the cloud to obtain user data backups and maintain an up-to-date state. This backup includes application settings and user data.

[0045] Step 3:

[0046] When a user uses a new smartphone, the device begins the recovery process. The user starts up the new device and prepares the environment for the AI ​​agent to operate automatically.

[0047] Step 4:

[0048] The device uses the saved credentials to connect to the cloud and download backup data. Simultaneously, it automatically logs into applications using the saved ID and password.

[0049] Step 5:

[0050] The server provides backup data based on requests from the terminal. This data is encrypted and transferred securely.

[0051] Step 6:

[0052] The device uses downloaded backup data to restore the settings and data of each application. This allows users to use the same environment on a new device as before.

[0053] Step 7:

[0054] If a user fails to log in due to unknown authentication information, the device will use an AI agent to automatically contact the support for each application.

[0055] Step 8:

[0056] The device will update its authentication credentials based on information obtained from support. It will then attempt to log in again using the updated information and fully restore the backup.

[0057] Step 9:

[0058] The device notifies the user that the restoration process is complete and that it is ready for use in the new environment. The user can then operate the device as before.

[0059] (Example 1)

[0060] 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."

[0061] When users switch to a new smartphone or other device, migrating their existing settings and data safely and easily is often difficult. In particular, the complex procedures and the need to reconfigure authentication credentials can be time-consuming and cumbersome. Furthermore, there are concerns about delays in addressing forgotten authentication information and the potential for security risks due to unauthorized access.

[0062] 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.

[0063] In this invention, the server includes means for storing user authentication information on a storage medium, means for automatically logging into specified application software using the user authentication information, and means for synchronizing user information stored on different devices after the login. This allows users to quickly and securely transfer data and settings to a new terminal, freeing them from cumbersome procedures and significantly simplifying the management of authentication information.

[0064] "User authentication information" refers to identifiers and confidential information necessary to authenticate a user, and typically consists of an ID and password.

[0065] A "storage medium" is a device or medium that has the function of accumulating data and information and saving and retrieving it as needed.

[0066] "Application software" refers to programs that run on a computer to provide users with specific functions or operations.

[0067] "Automatic login" is a process that authenticates access to the system using pre-stored authentication information, without requiring manual user input.

[0068] "Different devices" refers to devices other than the one currently in use, with the aim of making the same user data available on those devices.

[0069] An "artificial intelligence agent" is a program that possesses artificial intelligence technology to perform specific tasks without human instruction and to assist in problem-solving.

[0070] "External information resources" refer to databases and services that exist outside the system and are used to provide data and information.

[0071] As a form of implementing the invention, this system provides a platform for automating the process of users migrating data and settings to new devices. The system securely obtains and stores user authentication information and uses it to enable automatic login when needed.

[0072] Specifically, the device encrypts the user authentication information entered by the user during the initial login using encryption technology such as AES (Advanced Encryption Standard) and stores it on a storage medium. The stored information is managed using, for example, Android® Keystore or iOS Keychain. This function allows the device to automatically decrypt this information each time the user logs in again, making it easier to access application software.

[0073] Furthermore, the device synchronizes backup data stored on different devices via its connection to the cloud. Data is retrieved from external storage media such as Amazon S3 and Google Cloud Storage and applied to the new device. This allows users to immediately access the same operating environment as before.

[0074] Furthermore, if a user forgets their authentication information, the artificial intelligence agent queries external information resources. In this process, a generative AI model is used to generate appropriate prompt messages. For example, a possible prompt message might be, "I don't know my login information for application X, please contact support to update it." Based on the generated prompt message, the AI ​​agent contacts the external information resources, retrieves the necessary information, and updates the authentication information.

[0075] In this way, this system enables users to quickly and safely recreate the same usage environment on new devices, reducing the effort required for device migration.

[0076] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0077] Step 1:

[0078] The terminal receives user authentication information entered by the user. This input consists of the user's ID and password, which the terminal encrypts using AES encryption technology. As part of the data processing, the text data of the ID and password is converted into encrypted data using the encryption algorithm. The output is the encrypted authentication information, which is securely stored on a secure storage medium. Through this specific operation, user authentication information is managed securely.

[0079] Step 2:

[0080] The device decrypts stored encrypted authentication information when the user launches an application. The input is encrypted data retrieved from the storage medium. As a data operation, a decryption process is performed to return the user's ID and password to plaintext. The output is the decrypted authentication information, which is used to automatically attempt to log in to the application. As a concrete example of this operation, when the user opens an email application, the login is completed automatically.

[0081] Step 3:

[0082] When a user uses a new device, the device communicates with a cloud server to retrieve backup data. The input is the user's backup data identifier stored in the cloud, which is then retrieved from the server. During data processing, the device converts this data into a format applicable to the new device. The output is a restoration dataset, which, when applied to the new device, reconstructs the original settings. Specifically, the user's contacts and app settings are automatically restored.

[0083] Step 4:

[0084] If authentication information is unknown or lost, the user uses an AI agent to generate a prompt message to contact support. The input is the user's support request. A generation AI model is used to perform data calculations to create the prompt message. The output is the generated query message, which the artificial intelligence agent uses to query external information resources and obtain results. Specifically, the application guides the user through the process of resetting their login information.

[0085] (Application Example 1)

[0086] 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."

[0087] In today's digital society, it is crucial for citizens to automatically and securely migrate data and settings from their old devices when purchasing new digital devices. However, current technology requires users to manually perform many steps, which complicates access to digital services and reduces convenience. Furthermore, there is a lack of mechanisms to centralize authentication and settings for digital services provided by different cities and to efficiently manage digital devices.

[0088] 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.

[0089] In this invention, the server includes means for storing user authentication information in a storage element, means for centrally managing residents' digital terminal data, and means for automatically synchronizing personal settings and service information to new terminals. This enables efficient management of digital terminals and access to the city's digital services.

[0090] "User authentication information" refers to the information necessary to identify a user and verify their permissions when accessing a system.

[0091] A "memory element" refers to an element that is a device or function for storing and retaining data.

[0092] "Access" refers to the act of a user connecting to a designated application program.

[0093] An "application program" is software developed to perform a specific function.

[0094] "User information" refers to information including an individual's digital data and settings.

[0095] "Synchronization" is the process of keeping data and information in the same state across multiple devices.

[0096] "External information sources" are databases or other resources that exist outside the system and provide information.

[0097] "Updating" is the process of changing information to a new state.

[0098] "Digital terminal data" refers to the totality of user-related settings and information stored within an electronic device.

[0099] "Integrated management" is a method of processing and managing multiple pieces of information and data in a unified manner.

[0100] "Personal settings" refer to the settings information for devices and services that have been customized by the user.

[0101] "Service information" refers to data and settings related to the various digital services provided.

[0102] To implement this invention, a system is constructed in which the user's digital terminal and the server work together. The server stores user authentication information in a storage element and securely manages the authentication information using encrypted communication. When a user introduces a new terminal, the server automatically integrates and manages the digital terminal data backed up on the cloud and synchronizes personal settings and service information to the new terminal.

[0103] The hardware consists of smartphones and cloud servers, while the software utilizes Python and cloud storage APIs. This enables data storage, encryption, and synchronization processes. The server ensures secure communication with external information sources and automatically updates necessary authentication information. The AI ​​agent uses prompts to configure various digital services, collect user information, and provide support as needed.

[0104] For example, if a user purchases a new smartphone and installs the resident portal app, the app communicates with the server to verify the user's authentication information, retrieves previous device information from the cloud, and restores the settings. An example of a prompt message for the generating AI model could be: "To set up the new device, please synchronize data from the cloud backup using resident ID '1234' and generate login information for public Wi-Fi."

[0105] These processes ensure that when users use a new digital device, they experience the same level of convenience as in their previous environment, without having to consciously think about it.

[0106] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0107] Step 1:

[0108] The server securely receives authentication information provided by the user. This information includes the user ID and password. The server encrypts this authentication information and stores it in a storage element. In this process, an encryption algorithm is applied to store the information securely and safely.

[0109] Step 2:

[0110] The terminal connects to the server and requests the previous backup data. The user ID is used as input. Based on this, the server retrieves the backup data from cloud storage and sends it to the terminal. The terminal parses the received data, converts it to the appropriate format, and prepares it.

[0111] Step 3:

[0112] The user's device restores personal settings using the transmitted backup data. This input includes the retrieved backup data. The device updates the user interface to reflect the settings information. This replicates the previous device environment, allowing the user to use the new device without any issues.

[0113] Step 4:

[0114] The server centrally manages digital terminal data and, when necessary, uses an AI agent to query external information sources. The target service name and user ID are used as input. In the process of receiving query results, if the authentication information needs to be updated, the server automatically generates new authentication information and stores it in a memory element.

[0115] Step 5:

[0116] The device automatically accesses digital services using authentication information obtained from the server. The input includes the most recent authentication information. The device applies prompts generated by an AI model to execute the login process for public Wi-Fi and other digital services, allowing users to immediately utilize the services.

[0117] 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.

[0118] This invention aims to improve the user experience by combining an emotion engine with a system that streamlines the management of user authentication information and data migration. The system aims to simplify the cumbersome data migration process when users use smartphones, thereby reducing user stress.

[0119] The core of the system is the emotion engine. This engine uses speech recognition and facial recognition technologies to analyze the user's emotions in real time. This analysis allows the system to understand the emotions the user is feeling during the data migration process. For example, if the user is feeling frustrated or anxious, the system will quickly adjust the interface and process to minimize the user's burden.

[0120] Furthermore, the device notifies the user of the data migration progress in different formats depending on their emotions. If positive emotions are detected, the system provides the usual progress notification, but if negative emotions are detected, it adds a more detailed and reassuring explanation.

[0121] As a concrete example, when a user switches to a new smartphone, the device uses internal sensors to detect emotions from the user's voice and facial expressions. If the device determines that the user is stressed, it simplifies the interface and presents only essential information. Additionally, an AI agent operates in the background to perform automatic login and data synchronization based on the user's authentication information.

[0122] The server exchanges necessary data through encrypted communication and handles authentication information securely. This interaction enhances the accuracy and security of data migration, allowing users to proceed smoothly through the entire process.

[0123] In this way, this system, which makes full use of an emotion engine, provides an automated data migration method that takes into account the user's psychological state, making the new technology easily accessible to a wide range of users.

[0124] The following describes the processing flow.

[0125] Step 1:

[0126] The device activates its emotion engine as soon as the user begins using the smartphone. The emotion engine uses the device's built-in camera and microphone to analyze the user's emotions through voice and facial recognition.

[0127] Step 2:

[0128] When a user logs into an application, the device retrieves the stored user authentication information from its storage device. Using this information, it automatically attempts to log in to each application.

[0129] Step 3:

[0130] The device begins downloading backup data from the cloud server. During this time, it continuously monitors the user's emotional state to determine if they are experiencing stress or anxiety.

[0131] Step 4:

[0132] The server securely provides the necessary user data in response to data retrieval requests from terminals. Communication is encrypted, ensuring security.

[0133] Step 5:

[0134] If the emotion engine determines that the user's emotions are negative, the device dynamically adjusts the interface. For example, it might simplify the information displayed or show a more detailed help message.

[0135] Step 6:

[0136] The device automatically synchronizes application settings and user data using backup data. This allows users to start working immediately on the new device.

[0137] Step 7:

[0138] The system will notify users of the progress and completion of data migration. The notification content will be tailored to the user's emotional state and presented in a reassuring format.

[0139] Step 8:

[0140] If authentication information is missing or login fails, the device will activate an AI agent and automatically query an external database. If necessary, it will update the authentication information.

[0141] Step 9:

[0142] Once the entire system has successfully completed its operation, the device re-verifies the user's emotions and provides positive feedback. As a result, the user can confidently engage with the new device environment.

[0143] (Example 2)

[0144] 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 as the "terminal".

[0145] In today's information technology environment, users need to manage accounts and data across numerous digital devices. However, data migration and authentication management are often cumbersome for users, and can be particularly stressful for non-technical users. Furthermore, existing systems often fail to consider user emotional states when streamlining data migration or reducing stress, which is a significant challenge.

[0146] 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.

[0147] In this invention, the server includes means for storing user authentication information in a storage device, means for detecting the user's emotions through facial recognition and voice recognition, and means for creating and sending notification messages corresponding to the emotions. This enables a smooth data transfer and authentication process that adapts to the user's emotional state.

[0148] "User authentication information" refers to information used to identify individual users and grant them access to specific systems and applications.

[0149] A "storage device" is hardware used to hold data and store it in a format that can be reused as needed.

[0150] "Methods for automatically logging into a program" refer to mechanisms that allow users to access a specified program without having to manually log in, using user authentication information.

[0151] "Methods for synchronizing user data" refer to mechanisms that maintain data consistency across multiple devices and applications while keeping the data up-to-date.

[0152] "Means of querying external databases" refers to communication methods for accessing external data stores and obtaining necessary information.

[0153] "Facial recognition" is a technology that analyzes image data of faces captured by a camera and identifies emotions and identities by identifying the characteristics of each individual face.

[0154] "Speech recognition" is a technology that converts audio signals into a format that a computer can interpret as meaningful data.

[0155] "Methods for adjusting the user interface" refer to techniques for optimizing the screens and operating methods that users directly interact with under specific conditions, thereby improving user interaction.

[0156] "Means of sending notification messages" refers to a system for sending electronic messages to convey information to users.

[0157] "Encrypted communication" is a technology that encodes transmitted data based on a specific algorithm in order to protect the content of the communication from third parties.

[0158] This invention aims to make the transition process between new digital devices smooth and stress-free for users. At the heart of the invention is a system that utilizes emotion recognition technology to streamline data migration and authentication information management. This system is realized through the collaborative efforts of a server and a terminal.

[0159] The server securely stores user authentication information in storage and exchanges information with the terminal via encrypted communication. To enhance data security, a common encryption algorithm is used for communication. The server also queries an external database and updates authentication information as needed.

[0160] The device uses speech recognition and facial recognition technologies for emotion recognition. Specifically, general speech analysis software is used for speech recognition, and image processing software capable of analyzing facial expressions is used for facial recognition. The device combines these technologies to detect the user's emotional state in real time and instantly adjusts the user interface based on that. For example, if the user is feeling stressed, the device simplifies the interface and adjusts it to display necessary information in an easy-to-understand manner.

[0161] Users can easily complete the data migration process. For example, when a user migrates data to a new smartphone, the device analyzes their emotions and appropriately customizes progress notifications based on the results. If positive emotions are detected, a standard notification is sent, but if negative emotions are detected, more detailed instructions and reassuring messages are provided.

[0162] An example of a prompt to a generative AI model might be, "Consider the user's emotional state and propose specific interface improvements to alleviate inconvenience during the data migration process." This prompt allows the AI ​​model to present interface improvements that take the user's psychological state into account.

[0163] This invention, by utilizing an emotion engine, makes it possible to provide an intuitive and low-burden digital device transition experience to a wide range of users.

[0164] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0165] Step 1:

[0166] The user launches a dedicated application on the new device and enters their user authentication information. This information is temporarily stored on the device and sent to the server. Based on this input, the device encrypts the data and generates an authentication request in preparation for user authentication. The output is the encrypted authentication request.

[0167] Step 2:

[0168] The server receives the encrypted authentication request from the terminal and checks the user authentication information in its storage device. This process verifies whether the authentication information matches and generates an authentication result. The server re-encrypts this result and sends it back to the terminal. The output indicates whether the authentication was successful or failed.

[0169] Step 3:

[0170] The terminal decrypts the response from the server and verifies the authentication result. If authentication is successful, the terminal begins the process of migrating user data stored on the device. At this point, the terminal scans its internal data and creates a list of data to be migrated. The output indicates that the data ready for migration is complete.

[0171] Step 4:

[0172] The device uses facial recognition and speech recognition technologies to detect the user's emotions. To do this, the device analyzes input data from the camera and microphone to determine the user's emotional state in real time. The results of the emotion analysis are then output, indicating the user's stress level and emotional state.

[0173] Step 5:

[0174] The device adaptively adjusts the user interface based on emotion detection results. Specifically, the complexity of the user interface changes according to the user's stress level. In this process, the device rearranges interface elements to make them easier for the user to understand and highlights important information. The output is an adjusted UI.

[0175] Step 6:

[0176] Based on the user's emotional state, the device uses a generative AI model to create and display an appropriate notification message. If necessary, it includes a relaxing message to alleviate the user's emotions. An example of a prompt might be, "If the user's emotional state is stressful, generate a message suggesting ways to relax." The output will be a notification message designed to provide reassurance to the user.

[0177] (Application Example 2)

[0178] 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".

[0179] In highly networked environments such as smart homes and smart cities, users need to quickly and securely transfer authentication information and synchronize data when adding or replacing new devices. However, traditional methods often involve cumbersome and stressful processes. Furthermore, there is a lack of functionality to flexibly change procedures and interfaces according to the user's emotions, making it difficult to provide a highly satisfying user experience.

[0180] 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.

[0181] In this invention, the server includes means for storing user authentication information in a data storage means, means for detecting the user's emotions through voice analysis and facial analysis, and means for adjusting the interface based on the detected emotions. This enables users to smoothly adopt new devices and provides customized information management tailored to their individual needs.

[0182] "User authentication information" refers to information used to identify a user and verify their permissions.

[0183] "Data storage means" refers to devices or functions for storing and retaining information.

[0184] "Means of operation" refers to the means of accessing a specific process or function.

[0185] "Devices" refer to digital devices and network devices used by users.

[0186] "User information" refers to all personal data and usage data related to the user.

[0187] "Speech analysis" is a technology that analyzes audio signals to extract information.

[0188] "Facial analysis" is a technology that analyzes image data of faces to extract information.

[0189] "Emotions" refer to data that indicates the user's psychological state.

[0190] An "interface" is the point of contact that allows the user and the system to interact with each other.

[0191] "External information resources" refer to databases and data stores located outside of the internal system.

[0192] "Information-based communication" refers to communication technologies for securely exchanging information.

[0193] The embodiments for carrying out the invention are described below.

[0194] The system for realizing this application is centered around the user's smartphone or smart device. The server utilizes cloud-based data storage to store user authentication information. Furthermore, it uses a generative AI model to perform facial and voice analysis to detect the user's emotions in real time. In this process, facial features are analyzed using tools such as Amazon Rekognition, and speech is converted to text using Google Cloud Speech-to-Text for emotion analysis. Based on this, the device provides an optimal interface that responds to the user's emotions.

[0195] Specifically, when a user sets up a new smart device, the device senses the user's facial expressions and voice in real time and analyzes their emotions. If the user shows signs of anxiety, the interface is simplified and more detailed step-by-step instructions are displayed. This helps the user complete the device setup smoothly while reducing stress. The server communicates with external information resources using secure protocols such as SSL / TLS when the user's authentication information changes or needs updating, and synchronizes or updates the necessary data.

[0196] An example of a prompt message is: "If the system detects that the user is experiencing anxiety while setting up a new device, suggest appropriate support to provide." This prompt message is used to provide appropriate support information to the generative AI model.

[0197] The system, configured in this way, utilizes an emotion engine to enhance the user experience and enables smooth, stress-free data migration and authentication information management.

[0198] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0199] Step 1:

[0200] The user begins the setup process for a new smart device. The device captures the user's facial expressions with its camera and their voice with its microphone. This input data is collected for facial and voice analysis.

[0201] Step 2:

[0202] The device sends collected facial images and audio data to Amazon Rekognition and Google Cloud Speech-to-Text services. This input data is first converted to text, and then its emotions are analyzed using a generative AI model. The output is data indicating the user's current emotions.

[0203] Step 3:

[0204] The device adjusts the user interface using emotional data obtained through analysis. Specifically, if the user is feeling anxious, it elaborates on the setup guide and displays step-by-step support. The input is emotional data, and the output is the adjusted interface displayed to the user.

[0205] Step 4:

[0206] The server updates user authentication information and synchronizes data. During this process, it receives authentication information transmitted from the terminal via a secure protocol as input and queries external information resources as needed. The output consists of the latest authentication information and synchronized data.

[0207] Step 5:

[0208] Ultimately, the user completes the device setup and experiences a smooth data migration. The terminal confirms that the entire process is complete and provides the user with a completion notification. The input is the user's completion of the operation, and the output is the completion notification from the terminal.

[0209] 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.

[0210] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0211] 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.

[0212] [Second Embodiment]

[0213] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0214] 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.

[0215] 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).

[0216] 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.

[0217] 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.

[0218] 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).

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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.

[0223] 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.

[0224] 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".

[0225] The present invention provides a means for easily and securely automating data migration when a user changes smartphones. This system begins by securely storing the user's authentication information in a storage device and automatically logging into each application as needed.

[0226] Specifically, the device securely encrypts the ID and password entered by the user during the initial login and stores them in its storage device. This allows the device to automatically attempt login using the stored credentials when the user accesses the application again using the same device.

[0227] Furthermore, the device can synchronize user data and application settings backed up in the cloud. To do this, the device communicates with a server, retrieves the backup data, and restores it to the new device.

[0228] If the user's authentication information is unknown, the AI ​​agent automatically contacts the support service for each application. During the inquiry process, the AI ​​agent securely obtains the necessary information and updates the authentication information.

[0229] For example, when a user purchases a new smartphone and begins the initial setup, the device automatically logs into applications using previously saved IDs and passwords. Afterward, the device synchronizes backup data from the cloud and restores the user's application settings and contact information to the new smartphone. Once the restoration process is complete on the device, the user can operate the smartphone in the same environment as before.

[0230] Thus, the system of the present invention allows users to semi-automate the data migration process when changing devices, significantly reducing the amount of detailed settings and verification work required. For a wide range of users, including seniors, this automated process saves time and effort, providing a more comfortable smartphone experience.

[0231] The following describes the processing flow.

[0232] Step 1:

[0233] The device prompts the user to enter their ID and password when logging into each application, encrypts them, and stores them in its storage device. This procedure is performed the first time the user uses a particular application.

[0234] Step 2:

[0235] The device periodically communicates with the cloud to obtain user data backups and maintain an up-to-date state. This backup includes application settings and user data.

[0236] Step 3:

[0237] When a user uses a new smartphone, the device begins the recovery process. The user starts up the new device and prepares the environment for the AI ​​agent to operate automatically.

[0238] Step 4:

[0239] The device uses the saved credentials to connect to the cloud and download backup data. Simultaneously, it automatically logs into applications using the saved ID and password.

[0240] Step 5:

[0241] The server provides backup data based on requests from the terminal. This data is encrypted and transferred securely.

[0242] Step 6:

[0243] The device uses downloaded backup data to restore the settings and data of each application. This allows users to use the same environment on a new device as before.

[0244] Step 7:

[0245] If a user fails to log in due to unknown authentication information, the device will use an AI agent to automatically contact the support for each application.

[0246] Step 8:

[0247] The device will update its authentication credentials based on information obtained from support. It will then attempt to log in again using the updated information and fully restore the backup.

[0248] Step 9:

[0249] The device notifies the user that the restoration process is complete and that it is ready for use in the new environment. The user can then operate the device as before.

[0250] (Example 1)

[0251] 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."

[0252] When users switch to a new smartphone or other device, migrating their existing settings and data safely and easily is often difficult. In particular, the complex procedures and the need to reconfigure authentication credentials can be time-consuming and cumbersome. Furthermore, there are concerns about delays in addressing forgotten authentication information and the potential for security risks due to unauthorized access.

[0253] 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.

[0254] In this invention, the server includes means for storing user authentication information on a storage medium, means for automatically logging into specified application software using the user authentication information, and means for synchronizing user information stored on different devices after the login. This allows users to quickly and securely transfer data and settings to a new terminal, freeing them from cumbersome procedures and significantly simplifying the management of authentication information.

[0255] "User authentication information" refers to identifiers and confidential information necessary to authenticate a user, and typically consists of an ID and password.

[0256] A "storage medium" is a device or medium that has the function of accumulating data and information and saving and retrieving it as needed.

[0257] "Application software" refers to programs that run on a computer to provide users with specific functions or operations.

[0258] "Automatic login" is a process that authenticates access to the system using pre-stored authentication information, without requiring manual user input.

[0259] "Different devices" refers to devices other than the one currently in use, with the aim of making the same user data available on those devices.

[0260] An "artificial intelligence agent" is a program that possesses artificial intelligence technology to perform specific tasks without human instruction and to assist in problem-solving.

[0261] "External information resources" refer to databases and services that exist outside the system and are used to provide data and information.

[0262] As a form of implementing the invention, this system provides a platform for automating the process of users migrating data and settings to new devices. The system securely obtains and stores user authentication information and uses it to enable automatic login when needed.

[0263] Specifically, the device encrypts the user authentication information entered by the user during the initial login using encryption technology such as AES (Advanced Encryption Standard) and stores it on a storage medium. The stored information is managed using, for example, Android's Keystore or iOS's Keychain. This function allows the device to automatically decrypt this information each time the user logs in again, making it easier to access application software.

[0264] Furthermore, the device synchronizes backup data stored on different devices through its connection to the cloud. Data is retrieved from external storage media such as Amazon S3 and Google Cloud Storage and applied to the new device. This allows users to immediately access the same operating environment as before.

[0265] Furthermore, if a user forgets their authentication information, the artificial intelligence agent queries external information resources. In this process, a generative AI model is used to generate appropriate prompt messages. For example, a possible prompt message might be, "I don't know my login information for application X, please contact support to update it." Based on the generated prompt message, the AI ​​agent contacts the external information resources, retrieves the necessary information, and updates the authentication information.

[0266] In this way, this system enables users to quickly and safely recreate the same usage environment on new devices, reducing the effort required for device migration.

[0267] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0268] Step 1:

[0269] The terminal receives user authentication information entered by the user. This input consists of the user's ID and password, which the terminal encrypts using AES encryption technology. As part of the data processing, the text data of the ID and password is converted into encrypted data using the encryption algorithm. The output is the encrypted authentication information, which is securely stored on a secure storage medium. Through this specific operation, user authentication information is managed securely.

[0270] Step 2:

[0271] The device decrypts stored encrypted authentication information when the user launches an application. The input is encrypted data retrieved from the storage medium. As a data operation, a decryption process is performed to return the user's ID and password to plaintext. The output is the decrypted authentication information, which is used to automatically attempt to log in to the application. As a concrete example of this operation, when the user opens an email application, the login is completed automatically.

[0272] Step 3:

[0273] When a user uses a new device, the device communicates with a cloud server to retrieve backup data. The input is the user's backup data identifier stored in the cloud, which is then retrieved from the server. During data processing, the device converts this data into a format applicable to the new device. The output is a restoration dataset, which, when applied to the new device, reconstructs the original settings. Specifically, the user's contacts and app settings are automatically restored.

[0274] Step 4:

[0275] If authentication information is unknown or lost, the user uses an AI agent to generate a prompt message to contact support. The input is the user's support request. A generation AI model is used to perform data calculations to create the prompt message. The output is the generated query message, which the artificial intelligence agent uses to query external information resources and obtain results. Specifically, the application guides the user through the process of resetting their login information.

[0276] (Application Example 1)

[0277] 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."

[0278] In modern digital society, when citizens purchase new digital terminals, it is important to automatically and securely transfer data and settings from conventional devices. However, current technologies require users to manually perform many procedures themselves, which complicates access to digital services and reduces convenience. In addition, there is a lack of a mechanism to unify the authentication and settings of digital services provided by different municipalities and efficiently manage digital terminals.

[0279] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0280] In this invention, the server includes means for storing user authentication information in a storage element, means for integrally managing residents' digital terminal data, and means for automatically synchronizing personal settings and service information to a new terminal. This enables efficient management of digital terminals and access to the municipality's digital services.

[0281] "User authentication information" is information necessary to identify a user and confirm their authority when accessing a system.

[0282] "Storage element" refers to an element that denotes a device or function for storing and holding data.

[0283] "Access" is an act in which a user connects to a specified application program.

[0284] "Application program" refers to software developed to execute a specific function.

[0285] "User information" is information including an individual's digital data and settings.

[0286] "Synchronization" is an operation to keep data and information in the same state among multiple devices.

[0287] "External information sources" are databases or other resources that exist outside the system and provide information.

[0288] "Updating" is the process of changing information to a new state.

[0289] "Digital terminal data" refers to the totality of user-related settings and information stored within an electronic device.

[0290] "Integrated management" is a method of processing and managing multiple pieces of information and data in a unified manner.

[0291] "Personal settings" refer to the settings information for devices and services that have been customized by the user.

[0292] "Service information" refers to data and settings related to the various digital services provided.

[0293] To implement this invention, a system is constructed in which the user's digital terminal and the server work together. The server stores user authentication information in a storage element and securely manages the authentication information using encrypted communication. When a user introduces a new terminal, the server automatically integrates and manages the digital terminal data backed up on the cloud and synchronizes personal settings and service information to the new terminal.

[0294] The hardware consists of smartphones and cloud servers, while the software utilizes Python and cloud storage APIs. This enables data storage, encryption, and synchronization processes. The server ensures secure communication with external information sources and automatically updates necessary authentication information. The AI ​​agent uses prompts to configure various digital services, collect user information, and provide support as needed.

[0295] For example, if a user purchases a new smartphone and installs the resident portal app, the app communicates with the server to verify the user's authentication information, retrieves previous device information from the cloud, and restores the settings. An example of a prompt message for the generating AI model could be: "To set up the new device, please synchronize data from the cloud backup using resident ID '1234' and generate login information for public Wi-Fi."

[0296] These processes ensure that when users use a new digital device, they experience the same level of convenience as in their previous environment, without having to consciously think about it.

[0297] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0298] Step 1:

[0299] The server securely receives authentication information provided by the user. This information includes the user ID and password. The server encrypts this authentication information and stores it in a storage element. In this process, an encryption algorithm is applied to store the information securely and safely.

[0300] Step 2:

[0301] The terminal connects to the server and requests the previous backup data. The user ID is used as input. Based on this, the server retrieves the backup data from cloud storage and sends it to the terminal. The terminal parses the received data, converts it to the appropriate format, and prepares it.

[0302] Step 3:

[0303] The user's terminal restores the personal settings using the transmitted backup data. This input includes the acquired backup data. The terminal updates the user interface and reflects the setting information. This enables the reproduction of the previous terminal environment, allowing the user to use the new device without discomfort.

[0304] Step 4:

[0305] The server integrally manages digital terminal data and, if necessary, uses an AI agent to query external information sources. As input, the target service name and user ID are used. In the process of receiving the query result, if the update of the authentication information is necessary, the server automatically generates new authentication information and stores it in the storage element.

[0306] Step 5:

[0307] The terminal automatically accesses the digital service using the authentication information obtained from the server. The latest authentication information is included as input. The terminal applies the prompt sentence by the generated AI model to execute the login process for public Wi-Fi and other digital services, enabling the user to immediately utilize the services.

[0308] Furthermore, an emotion engine for estimating the user's emotion may be combined. That is, the specific processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform specific processing using the user's emotion.

[0309] The present invention aims to improve the user experience by combining an emotion engine with a system for efficiently managing user authentication information and data transfer. This system aims to simplify the complicated data transfer process and reduce the user's stress when the user uses a smartphone.

[0310] The core of the system is the emotion engine. This engine uses speech recognition and facial recognition technologies to analyze the user's emotions in real time. This analysis allows the system to understand the emotions the user is feeling during the data migration process. For example, if the user is feeling frustrated or anxious, the system will quickly adjust the interface and process to minimize the user's burden.

[0311] Furthermore, the device notifies the user of the data migration progress in different formats depending on their emotions. If positive emotions are detected, the system provides the usual progress notification, but if negative emotions are detected, it adds a more detailed and reassuring explanation.

[0312] As a concrete example, when a user switches to a new smartphone, the device uses internal sensors to detect emotions from the user's voice and facial expressions. If the device determines that the user is stressed, it simplifies the interface and presents only essential information. Additionally, an AI agent operates in the background to perform automatic login and data synchronization based on the user's authentication information.

[0313] The server exchanges necessary data through encrypted communication and handles authentication information securely. This interaction enhances the accuracy and security of data migration, allowing users to proceed smoothly through the entire process.

[0314] In this way, this system, which makes full use of an emotion engine, provides an automated data migration method that takes into account the user's psychological state, making the new technology easily accessible to a wide range of users.

[0315] The following describes the processing flow.

[0316] Step 1:

[0317] The device activates its emotion engine as soon as the user begins using the smartphone. The emotion engine uses the device's built-in camera and microphone to analyze the user's emotions through voice and facial recognition.

[0318] Step 2:

[0319] When a user logs into an application, the device retrieves the stored user authentication information from its storage device. Using this information, it automatically attempts to log in to each application.

[0320] Step 3:

[0321] The device begins downloading backup data from the cloud server. During this time, it continuously monitors the user's emotional state to determine if they are experiencing stress or anxiety.

[0322] Step 4:

[0323] The server securely provides the necessary user data in response to data retrieval requests from terminals. Communication is encrypted, ensuring security.

[0324] Step 5:

[0325] If the emotion engine determines that the user's emotions are negative, the device dynamically adjusts the interface. For example, it might simplify the information displayed or show a more detailed help message.

[0326] Step 6:

[0327] The device automatically synchronizes application settings and user data using backup data. This allows users to start working immediately on the new device.

[0328] Step 7:

[0329] The system will notify users of the progress and completion of data migration. The notification content will be tailored to the user's emotional state and presented in a reassuring format.

[0330] Step 8:

[0331] If authentication information is missing or login fails, the device will activate an AI agent and automatically query an external database. If necessary, it will update the authentication information.

[0332] Step 9:

[0333] Once the entire system has successfully completed its operation, the device re-verifies the user's emotions and provides positive feedback. As a result, the user can confidently engage with the new device environment.

[0334] (Example 2)

[0335] 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".

[0336] In today's information technology environment, users need to manage accounts and data across numerous digital devices. However, data migration and authentication management are often cumbersome for users, and can be particularly stressful for non-technical users. Furthermore, existing systems often fail to consider user emotional states when streamlining data migration or reducing stress, which is a significant challenge.

[0337] 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.

[0338] In this invention, the server includes means for storing user authentication information in a storage device, means for detecting the user's emotions through facial recognition and voice recognition, and means for creating and sending notification messages corresponding to the emotions. This enables a smooth data transfer and authentication process that adapts to the user's emotional state.

[0339] "User authentication information" refers to information used to identify individual users and grant them access to specific systems and applications.

[0340] A "storage device" is hardware used to hold data and store it in a format that can be reused as needed.

[0341] "Methods for automatically logging into a program" refer to mechanisms that allow users to access a specified program without having to manually log in, using user authentication information.

[0342] "Methods for synchronizing user data" refer to mechanisms that maintain data consistency across multiple devices and applications while keeping the data up-to-date.

[0343] "Means of querying external databases" refers to communication methods for accessing external data stores and obtaining necessary information.

[0344] "Facial recognition" is a technology that analyzes image data of faces captured by a camera and identifies emotions and identities by identifying the characteristics of each individual face.

[0345] "Speech recognition" is a technology that converts audio signals into a format that a computer can interpret as meaningful data.

[0346] "Methods for adjusting the user interface" refer to techniques for optimizing the screens and operating methods that users directly interact with under specific conditions, thereby improving user interaction.

[0347] "Means of sending notification messages" refers to a system for sending electronic messages to convey information to users.

[0348] "Encrypted communication" is a technology that encodes transmitted data based on a specific algorithm in order to protect the content of the communication from third parties.

[0349] This invention aims to make the transition process between new digital devices smooth and stress-free for users. At the heart of the invention is a system that utilizes emotion recognition technology to streamline data migration and authentication information management. This system is realized through the collaborative efforts of a server and a terminal.

[0350] The server securely stores user authentication information in storage and exchanges information with the terminal via encrypted communication. To enhance data security, a common encryption algorithm is used for communication. The server also queries an external database and updates authentication information as needed.

[0351] The device uses speech recognition and facial recognition technologies for emotion recognition. Specifically, general speech analysis software is used for speech recognition, and image processing software capable of analyzing facial expressions is used for facial recognition. The device combines these technologies to detect the user's emotional state in real time and instantly adjusts the user interface based on that. For example, if the user is feeling stressed, the device simplifies the interface and adjusts it to display necessary information in an easy-to-understand manner.

[0352] Users can easily complete the data migration process. For example, when a user migrates data to a new smartphone, the device analyzes their emotions and appropriately customizes progress notifications based on the results. If positive emotions are detected, a standard notification is sent, but if negative emotions are detected, more detailed instructions and reassuring messages are provided.

[0353] An example of a prompt to a generative AI model might be, "Consider the user's emotional state and propose specific interface improvements to alleviate inconvenience during the data migration process." This prompt allows the AI ​​model to present interface improvements that take the user's psychological state into account.

[0354] This invention, by utilizing an emotion engine, makes it possible to provide an intuitive and low-burden digital device transition experience to a wide range of users.

[0355] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0356] Step 1:

[0357] The user launches a dedicated application on the new device and enters their user authentication information. This information is temporarily stored on the device and sent to the server. Based on this input, the device encrypts the data and generates an authentication request in preparation for user authentication. The output is the encrypted authentication request.

[0358] Step 2:

[0359] The server receives the encrypted authentication request from the terminal and checks the user authentication information in its storage device. This process verifies whether the authentication information matches and generates an authentication result. The server re-encrypts this result and sends it back to the terminal. The output indicates whether the authentication was successful or failed.

[0360] Step 3:

[0361] The terminal decrypts the response from the server and verifies the authentication result. If authentication is successful, the terminal begins the process of migrating user data stored on the device. At this point, the terminal scans its internal data and creates a list of data to be migrated. The output indicates that the data ready for migration is complete.

[0362] Step 4:

[0363] The device uses facial recognition and speech recognition technologies to detect the user's emotions. To do this, the device analyzes input data from the camera and microphone to determine the user's emotional state in real time. The results of the emotion analysis are then output, indicating the user's stress level and emotional state.

[0364] Step 5:

[0365] The device adaptively adjusts the user interface based on emotion detection results. Specifically, the complexity of the user interface changes according to the user's stress level. In this process, the device rearranges interface elements to make them easier for the user to understand and highlights important information. The output is an adjusted UI.

[0366] Step 6:

[0367] Based on the user's emotional state, the device uses a generative AI model to create and display an appropriate notification message. If necessary, it includes a relaxing message to alleviate the user's emotions. An example of a prompt might be, "If the user's emotional state is stressful, generate a message suggesting ways to relax." The output will be a notification message designed to provide reassurance to the user.

[0368] (Application Example 2)

[0369] 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 as the "terminal".

[0370] In highly networked environments such as smart homes and smart cities, users need to quickly and securely transfer authentication information and synchronize data when adding or replacing new devices. However, traditional methods often involve cumbersome and stressful processes. Furthermore, there is a lack of functionality to flexibly change procedures and interfaces according to the user's emotions, making it difficult to provide a highly satisfying user experience.

[0371] 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.

[0372] In this invention, the server includes means for storing user authentication information in a data storage means, means for detecting the user's emotions through voice analysis and facial analysis, and means for adjusting the interface based on the detected emotions. This enables users to smoothly adopt new devices and provides customized information management tailored to their individual needs.

[0373] "User authentication information" refers to information used to identify a user and verify their permissions.

[0374] "Data storage means" refers to devices or functions for storing and retaining information.

[0375] "Means of operation" refers to the means of accessing a specific process or function.

[0376] "Devices" refer to digital devices and network devices used by users.

[0377] "User information" refers to all personal data and usage data related to the user.

[0378] "Speech analysis" is a technology that analyzes audio signals to extract information.

[0379] "Facial analysis" is a technology that analyzes image data of faces to extract information.

[0380] "Emotions" refer to data that indicates the user's psychological state.

[0381] An "interface" is the point of contact that allows the user and the system to interact with each other.

[0382] "External information resources" refer to databases and data stores located outside of the internal system.

[0383] "Information-based communication" refers to communication technologies for securely exchanging information.

[0384] The embodiments for carrying out the invention are described below.

[0385] The system for realizing this application is centered around the user's smartphone or smart device. The server utilizes cloud-based data storage to store user authentication information. Furthermore, it uses a generative AI model to perform facial and voice analysis to detect the user's emotions in real time. In this process, facial features are analyzed using tools such as Amazon Rekognition, and speech is converted to text using Google Cloud Speech-to-Text for emotion analysis. Based on this, the device provides an optimal interface that responds to the user's emotions.

[0386] Specifically, when a user sets up a new smart device, the device senses the user's facial expressions and voice in real time and analyzes their emotions. If the user shows signs of anxiety, the interface is simplified and more detailed step-by-step instructions are displayed. This helps the user complete the device setup smoothly while reducing stress. The server communicates with external information resources using secure protocols such as SSL / TLS when the user's authentication information changes or needs updating, and synchronizes or updates the necessary data.

[0387] An example of a prompt message is: "If the system detects that the user is experiencing anxiety while setting up a new device, suggest appropriate support to provide." This prompt message is used to provide appropriate support information to the generative AI model.

[0388] The system, configured in this way, utilizes an emotion engine to enhance the user experience and enables smooth, stress-free data migration and authentication information management.

[0389] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0390] Step 1:

[0391] The user begins the setup process for a new smart device. The device captures the user's facial expressions with its camera and their voice with its microphone. This input data is collected for facial and voice analysis.

[0392] Step 2:

[0393] The device sends collected facial images and audio data to Amazon Rekognition and Google Cloud Speech-to-Text services. This input data is first converted to text, and then its emotions are analyzed using a generative AI model. The output is data indicating the user's current emotions.

[0394] Step 3:

[0395] The device adjusts the user interface using emotional data obtained through analysis. Specifically, if the user is feeling anxious, it elaborates on the setup guide and displays step-by-step support. The input is emotional data, and the output is the adjusted interface displayed to the user.

[0396] Step 4:

[0397] The server updates user authentication information and synchronizes data. During this process, it receives authentication information transmitted from the terminal via a secure protocol as input and queries external information resources as needed. The output consists of the latest authentication information and synchronized data.

[0398] Step 5:

[0399] Ultimately, the user completes the device setup and experiences a smooth data migration. The terminal confirms that the entire process is complete and provides the user with a completion notification. The input is the user's completion of the operation, and the output is the completion notification from the terminal.

[0400] 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.

[0401] 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.

[0402] 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.

[0403] [Third Embodiment]

[0404] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0405] 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.

[0406] 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).

[0407] 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.

[0408] 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.

[0409] 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).

[0410] 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.

[0411] 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.

[0412] 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.

[0413] 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.

[0414] 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.

[0415] 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".

[0416] The present invention provides a means for easily and securely automating data migration when a user changes smartphones. This system begins by securely storing the user's authentication information in a storage device and automatically logging into each application as needed.

[0417] Specifically, the device securely encrypts the ID and password entered by the user during the initial login and stores them in its storage device. This allows the device to automatically attempt login using the stored credentials when the user accesses the application again using the same device.

[0418] Furthermore, the device can synchronize user data and application settings backed up in the cloud. To do this, the device communicates with a server, retrieves the backup data, and restores it to the new device.

[0419] If the user's authentication information is unknown, the AI ​​agent automatically contacts the support service for each application. During the inquiry process, the AI ​​agent securely obtains the necessary information and updates the authentication information.

[0420] For example, when a user purchases a new smartphone and begins the initial setup, the device automatically logs into applications using previously saved IDs and passwords. Afterward, the device synchronizes backup data from the cloud and restores the user's application settings and contact information to the new smartphone. Once the restoration process is complete on the device, the user can operate the smartphone in the same environment as before.

[0421] Thus, the system of the present invention allows users to semi-automate the data migration process when changing devices, significantly reducing the amount of detailed settings and verification work required. For a wide range of users, including seniors, this automated process saves time and effort, providing a more comfortable smartphone experience.

[0422] The following describes the processing flow.

[0423] Step 1:

[0424] The device prompts the user to enter their ID and password when logging into each application, encrypts them, and stores them in its storage device. This procedure is performed the first time the user uses a particular application.

[0425] Step 2:

[0426] The device periodically communicates with the cloud to obtain user data backups and maintain an up-to-date state. This backup includes application settings and user data.

[0427] Step 3:

[0428] When a user uses a new smartphone, the device begins the recovery process. The user starts up the new device and prepares the environment for the AI ​​agent to operate automatically.

[0429] Step 4:

[0430] The device uses the saved credentials to connect to the cloud and download backup data. Simultaneously, it automatically logs into applications using the saved ID and password.

[0431] Step 5:

[0432] The server provides backup data based on requests from the terminal. This data is encrypted and transferred securely.

[0433] Step 6:

[0434] The device uses downloaded backup data to restore the settings and data of each application. This allows users to use the same environment on a new device as before.

[0435] Step 7:

[0436] If a user fails to log in due to unknown authentication information, the device will use an AI agent to automatically contact the support for each application.

[0437] Step 8:

[0438] The device will update its authentication credentials based on information obtained from support. It will then attempt to log in again using the updated information and fully restore the backup.

[0439] Step 9:

[0440] The device notifies the user that the restoration process is complete and that it is ready for use in the new environment. The user can then operate the device as before.

[0441] (Example 1)

[0442] 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."

[0443] When users switch to a new smartphone or other device, migrating their existing settings and data safely and easily is often difficult. In particular, the complex procedures and the need to reconfigure authentication credentials can be time-consuming and cumbersome. Furthermore, there are concerns about delays in addressing forgotten authentication information and the potential for security risks due to unauthorized access.

[0444] 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.

[0445] In this invention, the server includes means for storing user authentication information on a storage medium, means for automatically logging into specified application software using the user authentication information, and means for synchronizing user information stored on different devices after the login. This allows users to quickly and securely transfer data and settings to a new terminal, freeing them from cumbersome procedures and significantly simplifying the management of authentication information.

[0446] "User authentication information" refers to identifiers and confidential information necessary to authenticate a user, and typically consists of an ID and password.

[0447] A "storage medium" is a device or medium that has the function of accumulating data and information and saving and retrieving it as needed.

[0448] "Application software" refers to programs that run on a computer to provide users with specific functions or operations.

[0449] "Automatic login" is a process that authenticates access to the system using pre-stored authentication information, without requiring manual user input.

[0450] "Different devices" refers to devices other than the one currently in use, with the aim of making the same user data available on those devices.

[0451] An "artificial intelligence agent" is a program that possesses artificial intelligence technology to perform specific tasks without human instruction and to assist in problem-solving.

[0452] "External information resources" refer to databases and services that exist outside the system and are used to provide data and information.

[0453] As a form of implementing the invention, this system provides a platform for automating the process of users migrating data and settings to new devices. The system securely obtains and stores user authentication information and uses it to enable automatic login when needed.

[0454] Specifically, the device encrypts the user authentication information entered by the user during the initial login using encryption technology such as AES (Advanced Encryption Standard) and stores it on a storage medium. The stored information is managed using, for example, Android's Keystore or iOS's Keychain. This function allows the device to automatically decrypt this information each time the user logs in again, making it easier to access application software.

[0455] Furthermore, the device synchronizes backup data stored on different devices through its connection to the cloud. Data is retrieved from external storage media such as Amazon S3 and Google Cloud Storage and applied to the new device. This allows users to immediately access the same operating environment as before.

[0456] Furthermore, if a user forgets their authentication information, the artificial intelligence agent queries external information resources. In this process, a generative AI model is used to generate appropriate prompt messages. For example, a possible prompt message might be, "I don't know my login information for application X, please contact support to update it." Based on the generated prompt message, the AI ​​agent contacts the external information resources, retrieves the necessary information, and updates the authentication information.

[0457] In this way, this system enables users to quickly and safely recreate the same usage environment on new devices, reducing the effort required for device migration.

[0458] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0459] Step 1:

[0460] The terminal receives user authentication information entered by the user. This input consists of the user's ID and password, which the terminal encrypts using AES encryption technology. As part of the data processing, the text data of the ID and password is converted into encrypted data using the encryption algorithm. The output is the encrypted authentication information, which is securely stored on a secure storage medium. Through this specific operation, user authentication information is managed securely.

[0461] Step 2:

[0462] The device decrypts stored encrypted authentication information when the user launches an application. The input is encrypted data retrieved from the storage medium. As a data operation, a decryption process is performed to return the user's ID and password to plaintext. The output is the decrypted authentication information, which is used to automatically attempt to log in to the application. As a concrete example of this operation, when the user opens an email application, the login is completed automatically.

[0463] Step 3:

[0464] When a user uses a new device, the device communicates with a cloud server to retrieve backup data. The input is the user's backup data identifier stored in the cloud, which is then retrieved from the server. During data processing, the device converts this data into a format applicable to the new device. The output is a restoration dataset, which, when applied to the new device, reconstructs the original settings. Specifically, the user's contacts and app settings are automatically restored.

[0465] Step 4:

[0466] If authentication information is unknown or lost, the user uses an AI agent to generate a prompt message to contact support. The input is the user's support request. A generation AI model is used to perform data calculations to create the prompt message. The output is the generated query message, which the artificial intelligence agent uses to query external information resources and obtain results. Specifically, the application guides the user through the process of resetting their login information.

[0467] (Application Example 1)

[0468] 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."

[0469] In today's digital society, it is crucial for citizens to automatically and securely migrate data and settings from their old devices when purchasing new digital devices. However, current technology requires users to manually perform many steps, which complicates access to digital services and reduces convenience. Furthermore, there is a lack of mechanisms to centralize authentication and settings for digital services provided by different cities and to efficiently manage digital devices.

[0470] 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.

[0471] In this invention, the server includes means for storing user authentication information in a storage element, means for centrally managing residents' digital terminal data, and means for automatically synchronizing personal settings and service information to new terminals. This enables efficient management of digital terminals and access to the city's digital services.

[0472] "User authentication information" refers to the information necessary to identify a user and verify their permissions when accessing a system.

[0473] A "memory element" refers to an element that is a device or function for storing and retaining data.

[0474] "Access" refers to the act of a user connecting to a designated application program.

[0475] An "application program" is software developed to perform a specific function.

[0476] "User information" refers to information including an individual's digital data and settings.

[0477] "Synchronization" is the process of keeping data and information in the same state across multiple devices.

[0478] "External information sources" are databases or other resources that exist outside the system and provide information.

[0479] "Updating" is the process of changing information to a new state.

[0480] "Digital terminal data" refers to the totality of user-related settings and information stored within an electronic device.

[0481] "Integrated management" is a method of processing and managing multiple pieces of information and data in a unified manner.

[0482] "Personal settings" refer to the settings information for devices and services that have been customized by the user.

[0483] "Service information" refers to data and settings related to the various digital services provided.

[0484] To implement this invention, a system is constructed in which the user's digital terminal and the server work together. The server stores user authentication information in a storage element and securely manages the authentication information using encrypted communication. When a user introduces a new terminal, the server automatically integrates and manages the digital terminal data backed up on the cloud and synchronizes personal settings and service information to the new terminal.

[0485] The hardware consists of smartphones and cloud servers, while the software utilizes Python and cloud storage APIs. This enables data storage, encryption, and synchronization processes. The server ensures secure communication with external information sources and automatically updates necessary authentication information. The AI ​​agent uses prompts to configure various digital services, collect user information, and provide support as needed.

[0486] For example, if a user purchases a new smartphone and installs the resident portal app, the app communicates with the server to verify the user's authentication information, retrieves previous device information from the cloud, and restores the settings. An example of a prompt message for the generating AI model could be: "To set up the new device, please synchronize data from the cloud backup using resident ID '1234' and generate login information for public Wi-Fi."

[0487] These processes ensure that when users use a new digital device, they experience the same level of convenience as in their previous environment, without having to consciously think about it.

[0488] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0489] Step 1:

[0490] The server securely receives authentication information provided by the user. This information includes the user ID and password. The server encrypts this authentication information and stores it in a storage element. In this process, an encryption algorithm is applied to store the information securely and safely.

[0491] Step 2:

[0492] The terminal connects to the server and requests the previous backup data. The user ID is used as input. Based on this, the server retrieves the backup data from cloud storage and sends it to the terminal. The terminal parses the received data, converts it to the appropriate format, and prepares it.

[0493] Step 3:

[0494] The user's device restores personal settings using the transmitted backup data. This input includes the retrieved backup data. The device updates the user interface to reflect the settings information. This replicates the previous device environment, allowing the user to use the new device without any issues.

[0495] Step 4:

[0496] The server centrally manages digital terminal data and, when necessary, uses an AI agent to query external information sources. The target service name and user ID are used as input. In the process of receiving query results, if the authentication information needs to be updated, the server automatically generates new authentication information and stores it in a memory element.

[0497] Step 5:

[0498] The device automatically accesses digital services using authentication information obtained from the server. The input includes the most recent authentication information. The device applies prompts generated by an AI model to execute the login process for public Wi-Fi and other digital services, allowing users to immediately utilize the services.

[0499] 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.

[0500] This invention aims to improve the user experience by combining an emotion engine with a system that streamlines the management of user authentication information and data migration. The system aims to simplify the cumbersome data migration process when users use smartphones, thereby reducing user stress.

[0501] The core of the system is the emotion engine. This engine uses speech recognition and facial recognition technologies to analyze the user's emotions in real time. This analysis allows the system to understand the emotions the user is feeling during the data migration process. For example, if the user is feeling frustrated or anxious, the system will quickly adjust the interface and process to minimize the user's burden.

[0502] Furthermore, the device notifies the user of the data migration progress in different formats depending on their emotions. If positive emotions are detected, the system provides the usual progress notification, but if negative emotions are detected, it adds a more detailed and reassuring explanation.

[0503] As a concrete example, when a user switches to a new smartphone, the device uses internal sensors to detect emotions from the user's voice and facial expressions. If the device determines that the user is stressed, it simplifies the interface and presents only essential information. Additionally, an AI agent operates in the background to perform automatic login and data synchronization based on the user's authentication information.

[0504] The server exchanges necessary data through encrypted communication and handles authentication information securely. This interaction enhances the accuracy and security of data migration, allowing users to proceed smoothly through the entire process.

[0505] In this way, this system, which makes full use of an emotion engine, provides an automated data migration method that takes into account the user's psychological state, making the new technology easily accessible to a wide range of users.

[0506] The following describes the processing flow.

[0507] Step 1:

[0508] The device activates its emotion engine as soon as the user begins using the smartphone. The emotion engine uses the device's built-in camera and microphone to analyze the user's emotions through voice and facial recognition.

[0509] Step 2:

[0510] When a user logs into an application, the device retrieves the stored user authentication information from its storage device. Using this information, it automatically attempts to log in to each application.

[0511] Step 3:

[0512] The device begins downloading backup data from the cloud server. During this time, it continuously monitors the user's emotional state to determine if they are experiencing stress or anxiety.

[0513] Step 4:

[0514] The server securely provides the necessary user data in response to data retrieval requests from terminals. Communication is encrypted, ensuring security.

[0515] Step 5:

[0516] If the emotion engine determines that the user's emotions are negative, the device dynamically adjusts the interface. For example, it might simplify the information displayed or show a more detailed help message.

[0517] Step 6:

[0518] The device automatically synchronizes application settings and user data using backup data. This allows users to start working immediately on the new device.

[0519] Step 7:

[0520] The system will notify users of the progress and completion of data migration. The notification content will be tailored to the user's emotional state and presented in a reassuring format.

[0521] Step 8:

[0522] If authentication information is missing or login fails, the device will activate an AI agent and automatically query an external database. If necessary, it will update the authentication information.

[0523] Step 9:

[0524] Once the entire system has successfully completed its operation, the device re-verifies the user's emotions and provides positive feedback. As a result, the user can confidently engage with the new device environment.

[0525] (Example 2)

[0526] 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."

[0527] In today's information technology environment, users need to manage accounts and data across numerous digital devices. However, data migration and authentication management are often cumbersome for users, and can be particularly stressful for non-technical users. Furthermore, existing systems often fail to consider user emotional states when streamlining data migration or reducing stress, which is a significant challenge.

[0528] 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.

[0529] In this invention, the server includes means for storing user authentication information in a storage device, means for detecting the user's emotions through facial recognition and voice recognition, and means for creating and sending notification messages corresponding to the emotions. This enables a smooth data transfer and authentication process that adapts to the user's emotional state.

[0530] "User authentication information" refers to information used to identify individual users and grant them access to specific systems and applications.

[0531] A "storage device" is hardware used to hold data and store it in a format that can be reused as needed.

[0532] "Methods for automatically logging into a program" refer to mechanisms that allow users to access a specified program without having to manually log in, using user authentication information.

[0533] "Methods for synchronizing user data" refer to mechanisms that maintain data consistency across multiple devices and applications while keeping the data up-to-date.

[0534] "Means of querying external databases" refers to communication methods for accessing external data stores and obtaining necessary information.

[0535] "Facial recognition" is a technology that analyzes image data of faces captured by a camera and identifies emotions and identities by identifying the characteristics of each individual face.

[0536] "Speech recognition" is a technology that converts audio signals into a format that a computer can interpret as meaningful data.

[0537] "Methods for adjusting the user interface" refer to techniques for optimizing the screens and operating methods that users directly interact with under specific conditions, thereby improving user interaction.

[0538] "Means of sending notification messages" refers to a system for sending electronic messages to convey information to users.

[0539] "Encrypted communication" is a technology that encodes transmitted data based on a specific algorithm in order to protect the content of the communication from third parties.

[0540] This invention aims to make the transition process between new digital devices smooth and stress-free for users. At the heart of the invention is a system that utilizes emotion recognition technology to streamline data migration and authentication information management. This system is realized through the collaborative efforts of a server and a terminal.

[0541] The server securely stores user authentication information in storage and exchanges information with the terminal via encrypted communication. To enhance data security, a common encryption algorithm is used for communication. The server also queries an external database and updates authentication information as needed.

[0542] The device uses speech recognition and facial recognition technologies for emotion recognition. Specifically, general speech analysis software is used for speech recognition, and image processing software capable of analyzing facial expressions is used for facial recognition. The device combines these technologies to detect the user's emotional state in real time and instantly adjusts the user interface based on that. For example, if the user is feeling stressed, the device simplifies the interface and adjusts it to display necessary information in an easy-to-understand manner.

[0543] Users can easily complete the data migration process. For example, when a user migrates data to a new smartphone, the device analyzes their emotions and appropriately customizes progress notifications based on the results. If positive emotions are detected, a standard notification is sent, but if negative emotions are detected, more detailed instructions and reassuring messages are provided.

[0544] An example of a prompt to a generative AI model might be, "Consider the user's emotional state and propose specific interface improvements to alleviate inconvenience during the data migration process." This prompt allows the AI ​​model to present interface improvements that take the user's psychological state into account.

[0545] This invention, by utilizing an emotion engine, makes it possible to provide an intuitive and low-burden digital device transition experience to a wide range of users.

[0546] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0547] Step 1:

[0548] The user launches a dedicated application on the new device and enters their user authentication information. This information is temporarily stored on the device and sent to the server. Based on this input, the device encrypts the data and generates an authentication request in preparation for user authentication. The output is the encrypted authentication request.

[0549] Step 2:

[0550] The server receives the encrypted authentication request from the terminal and checks the user authentication information in its storage device. This process verifies whether the authentication information matches and generates an authentication result. The server re-encrypts this result and sends it back to the terminal. The output indicates whether the authentication was successful or failed.

[0551] Step 3:

[0552] The terminal decrypts the response from the server and verifies the authentication result. If authentication is successful, the terminal begins the process of migrating user data stored on the device. At this point, the terminal scans its internal data and creates a list of data to be migrated. The output indicates that the data ready for migration is complete.

[0553] Step 4:

[0554] The device uses facial recognition and speech recognition technologies to detect the user's emotions. To do this, the device analyzes input data from the camera and microphone to determine the user's emotional state in real time. The results of the emotion analysis are then output, indicating the user's stress level and emotional state.

[0555] Step 5:

[0556] The device adaptively adjusts the user interface based on emotion detection results. Specifically, the complexity of the user interface changes according to the user's stress level. In this process, the device rearranges interface elements to make them easier for the user to understand and highlights important information. The output is an adjusted UI.

[0557] Step 6:

[0558] Based on the user's emotional state, the device uses a generative AI model to create and display an appropriate notification message. If necessary, it includes a relaxing message to alleviate the user's emotions. An example of a prompt might be, "If the user's emotional state is stressful, generate a message suggesting ways to relax." The output will be a notification message designed to provide reassurance to the user.

[0559] (Application Example 2)

[0560] 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."

[0561] In highly networked environments such as smart homes and smart cities, users need to quickly and securely transfer authentication information and synchronize data when adding or replacing new devices. However, traditional methods often involve cumbersome and stressful processes. Furthermore, there is a lack of functionality to flexibly change procedures and interfaces according to the user's emotions, making it difficult to provide a highly satisfying user experience.

[0562] 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.

[0563] In this invention, the server includes means for storing user authentication information in a data storage means, means for detecting the user's emotions through voice analysis and facial analysis, and means for adjusting the interface based on the detected emotions. This enables users to smoothly adopt new devices and provides customized information management tailored to their individual needs.

[0564] "User authentication information" refers to information used to identify a user and verify their permissions.

[0565] "Data storage means" refers to devices or functions for storing and retaining information.

[0566] "Means of operation" refers to the means of accessing a specific process or function.

[0567] "Devices" refer to digital devices and network devices used by users.

[0568] "User information" refers to all personal data and usage data related to the user.

[0569] "Speech analysis" is a technology that analyzes audio signals to extract information.

[0570] "Facial analysis" is a technology that analyzes image data of faces to extract information.

[0571] "Emotions" refer to data that indicates the user's psychological state.

[0572] An "interface" is the point of contact that allows the user and the system to interact with each other.

[0573] "External information resources" refer to databases and data stores located outside of the internal system.

[0574] "Information-based communication" refers to communication technologies for securely exchanging information.

[0575] The embodiments for carrying out the invention are described below.

[0576] The system for realizing this application is centered around the user's smartphone or smart device. The server utilizes cloud-based data storage to store user authentication information. Furthermore, it uses a generative AI model to perform facial and voice analysis to detect the user's emotions in real time. In this process, facial features are analyzed using tools such as Amazon Rekognition, and speech is converted to text using Google Cloud Speech-to-Text for emotion analysis. Based on this, the device provides an optimal interface that responds to the user's emotions.

[0577] Specifically, when a user sets up a new smart device, the device senses the user's facial expressions and voice in real time and analyzes their emotions. If the user shows signs of anxiety, the interface is simplified and more detailed step-by-step instructions are displayed. This helps the user complete the device setup smoothly while reducing stress. The server communicates with external information resources using secure protocols such as SSL / TLS when the user's authentication information changes or needs updating, and synchronizes or updates the necessary data.

[0578] An example of a prompt message is: "If the system detects that the user is experiencing anxiety while setting up a new device, suggest appropriate support to provide." This prompt message is used to provide appropriate support information to the generative AI model.

[0579] The system, configured in this way, utilizes an emotion engine to enhance the user experience and enables smooth, stress-free data migration and authentication information management.

[0580] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0581] Step 1:

[0582] The user begins the setup process for a new smart device. The device captures the user's facial expressions with its camera and their voice with its microphone. This input data is collected for facial and voice analysis.

[0583] Step 2:

[0584] The device sends collected facial images and audio data to Amazon Rekognition and Google Cloud Speech-to-Text services. This input data is first converted to text, and then its emotions are analyzed using a generative AI model. The output is data indicating the user's current emotions.

[0585] Step 3:

[0586] The device adjusts the user interface using emotional data obtained through analysis. Specifically, if the user is feeling anxious, it elaborates on the setup guide and displays step-by-step support. The input is emotional data, and the output is the adjusted interface displayed to the user.

[0587] Step 4:

[0588] The server updates user authentication information and synchronizes data. During this process, it receives authentication information transmitted from the terminal via a secure protocol as input and queries external information resources as needed. The output consists of the latest authentication information and synchronized data.

[0589] Step 5:

[0590] Ultimately, the user completes the device setup and experiences a smooth data migration. The terminal confirms that the entire process is complete and provides the user with a completion notification. The input is the user's completion of the operation, and the output is the completion notification from the terminal.

[0591] 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.

[0592] 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.

[0593] 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.

[0594] [Fourth Embodiment]

[0595] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0596] 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.

[0597] 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).

[0598] 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.

[0599] 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.

[0600] 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).

[0601] 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.

[0602] 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.

[0603] 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.

[0604] 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.

[0605] 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.

[0606] 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.

[0607] 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".

[0608] The present invention provides a means for easily and securely automating data migration when a user changes smartphones. This system begins by securely storing the user's authentication information in a storage device and automatically logging into each application as needed.

[0609] Specifically, the device securely encrypts the ID and password entered by the user during the initial login and stores them in its storage device. This allows the device to automatically attempt login using the stored credentials when the user accesses the application again using the same device.

[0610] Furthermore, the device can synchronize user data and application settings backed up in the cloud. To do this, the device communicates with a server, retrieves the backup data, and restores it to the new device.

[0611] If the user's authentication information is unknown, the AI ​​agent automatically contacts the support service for each application. During the inquiry process, the AI ​​agent securely obtains the necessary information and updates the authentication information.

[0612] For example, when a user purchases a new smartphone and begins the initial setup, the device automatically logs into applications using previously saved IDs and passwords. Afterward, the device synchronizes backup data from the cloud and restores the user's application settings and contact information to the new smartphone. Once the restoration process is complete on the device, the user can operate the smartphone in the same environment as before.

[0613] Thus, the system of the present invention allows users to semi-automate the data migration process when changing devices, significantly reducing the amount of detailed settings and verification work required. For a wide range of users, including seniors, this automated process saves time and effort, providing a more comfortable smartphone experience.

[0614] The following describes the processing flow.

[0615] Step 1:

[0616] The device prompts the user to enter their ID and password when logging into each application, encrypts them, and stores them in its storage device. This procedure is performed the first time the user uses a particular application.

[0617] Step 2:

[0618] The device periodically communicates with the cloud to obtain user data backups and maintain an up-to-date state. This backup includes application settings and user data.

[0619] Step 3:

[0620] When a user uses a new smartphone, the device begins the recovery process. The user starts up the new device and prepares the environment for the AI ​​agent to operate automatically.

[0621] Step 4:

[0622] The device uses the saved credentials to connect to the cloud and download backup data. Simultaneously, it automatically logs into applications using the saved ID and password.

[0623] Step 5:

[0624] The server provides backup data based on requests from the terminal. This data is encrypted and transferred securely.

[0625] Step 6:

[0626] The device uses downloaded backup data to restore the settings and data of each application. This allows users to use the same environment on a new device as before.

[0627] Step 7:

[0628] If a user fails to log in due to unknown authentication information, the device will use an AI agent to automatically contact the support for each application.

[0629] Step 8:

[0630] The device will update its authentication credentials based on information obtained from support. It will then attempt to log in again using the updated information and fully restore the backup.

[0631] Step 9:

[0632] The device notifies the user that the restoration process is complete and that it is ready for use in the new environment. The user can then operate the device as before.

[0633] (Example 1)

[0634] 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".

[0635] When users switch to a new smartphone or other device, migrating their existing settings and data safely and easily is often difficult. In particular, the complex procedures and the need to reconfigure authentication credentials can be time-consuming and cumbersome. Furthermore, there are concerns about delays in addressing forgotten authentication information and the potential for security risks due to unauthorized access.

[0636] 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.

[0637] In this invention, the server includes means for storing user authentication information on a storage medium, means for automatically logging into specified application software using the user authentication information, and means for synchronizing user information stored on different devices after the login. This allows users to quickly and securely transfer data and settings to a new terminal, freeing them from cumbersome procedures and significantly simplifying the management of authentication information.

[0638] "User authentication information" refers to identifiers and confidential information necessary to authenticate a user, and typically consists of an ID and password.

[0639] A "storage medium" is a device or medium that has the function of accumulating data and information and saving and retrieving it as needed.

[0640] "Application software" refers to programs that run on a computer to provide users with specific functions or operations.

[0641] "Automatic login" is a process that authenticates access to the system using pre-stored authentication information, without requiring manual user input.

[0642] "Different devices" refers to devices other than the one currently in use, with the aim of making the same user data available on those devices.

[0643] An "artificial intelligence agent" is a program that possesses artificial intelligence technology to perform specific tasks without human instruction and to assist in problem-solving.

[0644] "External information resources" refer to databases and services that exist outside the system and are used to provide data and information.

[0645] As a form of implementing the invention, this system provides a platform for automating the process of users migrating data and settings to new devices. The system securely obtains and stores user authentication information and uses it to enable automatic login when needed.

[0646] Specifically, the device encrypts the user authentication information entered by the user during the initial login using encryption technology such as AES (Advanced Encryption Standard) and stores it on a storage medium. The stored information is managed using, for example, Android's Keystore or iOS's Keychain. This function allows the device to automatically decrypt this information each time the user logs in again, making it easier to access application software.

[0647] Furthermore, the device synchronizes backup data stored on different devices through its connection to the cloud. Data is retrieved from external storage media such as Amazon S3 and Google Cloud Storage and applied to the new device. This allows users to immediately access the same operating environment as before.

[0648] Furthermore, if a user forgets their authentication information, the artificial intelligence agent queries external information resources. In this process, a generative AI model is used to generate appropriate prompt messages. For example, a possible prompt message might be, "I don't know my login information for application X, please contact support to update it." Based on the generated prompt message, the AI ​​agent contacts the external information resources, retrieves the necessary information, and updates the authentication information.

[0649] In this way, this system enables users to quickly and safely recreate the same usage environment on new devices, reducing the effort required for device migration.

[0650] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0651] Step 1:

[0652] The terminal receives user authentication information entered by the user. This input consists of the user's ID and password, which the terminal encrypts using AES encryption technology. As part of the data processing, the text data of the ID and password is converted into encrypted data using the encryption algorithm. The output is the encrypted authentication information, which is securely stored on a secure storage medium. Through this specific operation, user authentication information is managed securely.

[0653] Step 2:

[0654] The device decrypts stored encrypted authentication information when the user launches an application. The input is encrypted data retrieved from the storage medium. As a data operation, a decryption process is performed to return the user's ID and password to plaintext. The output is the decrypted authentication information, which is used to automatically attempt to log in to the application. As a concrete example of this operation, when the user opens an email application, the login is completed automatically.

[0655] Step 3:

[0656] When a user uses a new device, the device communicates with a cloud server to retrieve backup data. The input is the user's backup data identifier stored in the cloud, which is then retrieved from the server. During data processing, the device converts this data into a format applicable to the new device. The output is a restoration dataset, which, when applied to the new device, reconstructs the original settings. Specifically, the user's contacts and app settings are automatically restored.

[0657] Step 4:

[0658] If authentication information is unknown or lost, the user uses an AI agent to generate a prompt message to contact support. The input is the user's support request. A generation AI model is used to perform data calculations to create the prompt message. The output is the generated query message, which the artificial intelligence agent uses to query external information resources and obtain results. Specifically, the application guides the user through the process of resetting their login information.

[0659] (Application Example 1)

[0660] 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".

[0661] In today's digital society, it is crucial for citizens to automatically and securely migrate data and settings from their old devices when purchasing new digital devices. However, current technology requires users to manually perform many steps, which complicates access to digital services and reduces convenience. Furthermore, there is a lack of mechanisms to centralize authentication and settings for digital services provided by different cities and to efficiently manage digital devices.

[0662] 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.

[0663] In this invention, the server includes means for storing user authentication information in a storage element, means for centrally managing residents' digital terminal data, and means for automatically synchronizing personal settings and service information to new terminals. This enables efficient management of digital terminals and access to the city's digital services.

[0664] "User authentication information" refers to the information necessary to identify a user and verify their permissions when accessing a system.

[0665] A "memory element" refers to an element that is a device or function for storing and retaining data.

[0666] "Access" refers to the act of a user connecting to a designated application program.

[0667] An "application program" is software developed to perform a specific function.

[0668] "User information" refers to information including an individual's digital data and settings.

[0669] "Synchronization" is the process of keeping data and information in the same state across multiple devices.

[0670] "External information sources" are databases or other resources that exist outside the system and provide information.

[0671] "Updating" is the process of changing information to a new state.

[0672] "Digital terminal data" refers to the totality of user-related settings and information stored within an electronic device.

[0673] "Integrated management" is a method of processing and managing multiple pieces of information and data in a unified manner.

[0674] "Personal settings" refer to the settings information for devices and services that have been customized by the user.

[0675] "Service information" refers to data and settings related to the various digital services provided.

[0676] To implement this invention, a system is constructed in which the user's digital terminal and the server work together. The server stores user authentication information in a storage element and securely manages the authentication information using encrypted communication. When a user introduces a new terminal, the server automatically integrates and manages the digital terminal data backed up on the cloud and synchronizes personal settings and service information to the new terminal.

[0677] The hardware consists of smartphones and cloud servers, while the software utilizes Python and cloud storage APIs. This enables data storage, encryption, and synchronization processes. The server ensures secure communication with external information sources and automatically updates necessary authentication information. The AI ​​agent uses prompts to configure various digital services, collect user information, and provide support as needed.

[0678] For example, if a user purchases a new smartphone and installs the resident portal app, the app communicates with the server to verify the user's authentication information, retrieves previous device information from the cloud, and restores the settings. An example of a prompt message for the generating AI model could be: "To set up the new device, please synchronize data from the cloud backup using resident ID '1234' and generate login information for public Wi-Fi."

[0679] These processes ensure that when users use a new digital device, they experience the same level of convenience as in their previous environment, without having to consciously think about it.

[0680] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0681] Step 1:

[0682] The server securely receives authentication information provided by the user. This information includes the user ID and password. The server encrypts this authentication information and stores it in a storage element. In this process, an encryption algorithm is applied to store the information securely and safely.

[0683] Step 2:

[0684] The terminal connects to the server and requests the previous backup data. The user ID is used as input. Based on this, the server retrieves the backup data from cloud storage and sends it to the terminal. The terminal parses the received data, converts it to the appropriate format, and prepares it.

[0685] Step 3:

[0686] The user's device restores personal settings using the transmitted backup data. This input includes the retrieved backup data. The device updates the user interface to reflect the settings information. This replicates the previous device environment, allowing the user to use the new device without any issues.

[0687] Step 4:

[0688] The server centrally manages digital terminal data and, when necessary, uses an AI agent to query external information sources. The target service name and user ID are used as input. In the process of receiving query results, if the authentication information needs to be updated, the server automatically generates new authentication information and stores it in a memory element.

[0689] Step 5:

[0690] The device automatically accesses digital services using authentication information obtained from the server. The input includes the most recent authentication information. The device applies prompts generated by an AI model to execute the login process for public Wi-Fi and other digital services, allowing users to immediately utilize the services.

[0691] 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.

[0692] This invention aims to improve the user experience by combining an emotion engine with a system that streamlines the management of user authentication information and data migration. The system aims to simplify the cumbersome data migration process when users use smartphones, thereby reducing user stress.

[0693] The core of the system is the emotion engine. This engine uses speech recognition and facial recognition technologies to analyze the user's emotions in real time. This analysis allows the system to understand the emotions the user is feeling during the data migration process. For example, if the user is feeling frustrated or anxious, the system will quickly adjust the interface and process to minimize the user's burden.

[0694] Furthermore, the device notifies the user of the data migration progress in different formats depending on their emotions. If positive emotions are detected, the system provides the usual progress notification, but if negative emotions are detected, it adds a more detailed and reassuring explanation.

[0695] As a concrete example, when a user switches to a new smartphone, the device uses internal sensors to detect emotions from the user's voice and facial expressions. If the device determines that the user is stressed, it simplifies the interface and presents only essential information. Additionally, an AI agent operates in the background to perform automatic login and data synchronization based on the user's authentication information.

[0696] The server exchanges necessary data through encrypted communication and handles authentication information securely. This interaction enhances the accuracy and security of data migration, allowing users to proceed smoothly through the entire process.

[0697] In this way, this system, which makes full use of an emotion engine, provides an automated data migration method that takes into account the user's psychological state, making the new technology easily accessible to a wide range of users.

[0698] The following describes the processing flow.

[0699] Step 1:

[0700] The device activates its emotion engine as soon as the user begins using the smartphone. The emotion engine uses the device's built-in camera and microphone to analyze the user's emotions through voice and facial recognition.

[0701] Step 2:

[0702] When a user logs into an application, the device retrieves the stored user authentication information from its storage device. Using this information, it automatically attempts to log in to each application.

[0703] Step 3:

[0704] The device begins downloading backup data from the cloud server. During this time, it continuously monitors the user's emotional state to determine if they are experiencing stress or anxiety.

[0705] Step 4:

[0706] The server securely provides the necessary user data in response to data retrieval requests from terminals. Communication is encrypted, ensuring security.

[0707] Step 5:

[0708] If the emotion engine determines that the user's emotions are negative, the device dynamically adjusts the interface. For example, it might simplify the information displayed or show a more detailed help message.

[0709] Step 6:

[0710] The device automatically synchronizes application settings and user data using backup data. This allows users to start working immediately on the new device.

[0711] Step 7:

[0712] The system will notify users of the progress and completion of data migration. The notification content will be tailored to the user's emotional state and presented in a reassuring format.

[0713] Step 8:

[0714] If authentication information is missing or login fails, the device will activate an AI agent and automatically query an external database. If necessary, it will update the authentication information.

[0715] Step 9:

[0716] Once the entire system has successfully completed its operation, the device re-verifies the user's emotions and provides positive feedback. As a result, the user can confidently engage with the new device environment.

[0717] (Example 2)

[0718] 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".

[0719] In today's information technology environment, users need to manage accounts and data across numerous digital devices. However, data migration and authentication management are often cumbersome for users, and can be particularly stressful for non-technical users. Furthermore, existing systems often fail to consider user emotional states when streamlining data migration or reducing stress, which is a significant challenge.

[0720] 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.

[0721] In this invention, the server includes means for storing user authentication information in a storage device, means for detecting the user's emotions through facial recognition and voice recognition, and means for creating and sending notification messages corresponding to the emotions. This enables a smooth data transfer and authentication process that adapts to the user's emotional state.

[0722] "User authentication information" refers to information used to identify individual users and grant them access to specific systems and applications.

[0723] A "storage device" is hardware used to hold data and store it in a format that can be reused as needed.

[0724] "Methods for automatically logging into a program" refer to mechanisms that allow users to access a specified program without having to manually log in, using user authentication information.

[0725] "Methods for synchronizing user data" refer to mechanisms that maintain data consistency across multiple devices and applications while keeping the data up-to-date.

[0726] "Means of querying external databases" refers to communication methods for accessing external data stores and obtaining necessary information.

[0727] "Facial recognition" is a technology that analyzes image data of faces captured by a camera and identifies emotions and identities by identifying the characteristics of each individual face.

[0728] "Speech recognition" is a technology that converts audio signals into a format that a computer can interpret as meaningful data.

[0729] "Methods for adjusting the user interface" refer to techniques for optimizing the screens and operating methods that users directly interact with under specific conditions, thereby improving user interaction.

[0730] "Means of sending notification messages" refers to a system for sending electronic messages to convey information to users.

[0731] "Encrypted communication" is a technology that encodes transmitted data based on a specific algorithm in order to protect the content of the communication from third parties.

[0732] This invention aims to make the transition process between new digital devices smooth and stress-free for users. At the heart of the invention is a system that utilizes emotion recognition technology to streamline data migration and authentication information management. This system is realized through the collaborative efforts of a server and a terminal.

[0733] The server securely stores user authentication information in storage and exchanges information with the terminal via encrypted communication. To enhance data security, a common encryption algorithm is used for communication. The server also queries an external database and updates authentication information as needed.

[0734] The device uses speech recognition and facial recognition technologies for emotion recognition. Specifically, general speech analysis software is used for speech recognition, and image processing software capable of analyzing facial expressions is used for facial recognition. The device combines these technologies to detect the user's emotional state in real time and instantly adjusts the user interface based on that. For example, if the user is feeling stressed, the device simplifies the interface and adjusts it to display necessary information in an easy-to-understand manner.

[0735] Users can easily complete the data migration process. For example, when a user migrates data to a new smartphone, the device analyzes their emotions and appropriately customizes progress notifications based on the results. If positive emotions are detected, a standard notification is sent, but if negative emotions are detected, more detailed instructions and reassuring messages are provided.

[0736] An example of a prompt to a generative AI model might be, "Consider the user's emotional state and propose specific interface improvements to alleviate inconvenience during the data migration process." This prompt allows the AI ​​model to present interface improvements that take the user's psychological state into account.

[0737] This invention, by utilizing an emotion engine, makes it possible to provide an intuitive and low-burden digital device transition experience to a wide range of users.

[0738] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0739] Step 1:

[0740] The user launches a dedicated application on the new device and enters their user authentication information. This information is temporarily stored on the device and sent to the server. Based on this input, the device encrypts the data and generates an authentication request in preparation for user authentication. The output is the encrypted authentication request.

[0741] Step 2:

[0742] The server receives the encrypted authentication request from the terminal and checks the user authentication information in its storage device. This process verifies whether the authentication information matches and generates an authentication result. The server re-encrypts this result and sends it back to the terminal. The output indicates whether the authentication was successful or failed.

[0743] Step 3:

[0744] The terminal decrypts the response from the server and verifies the authentication result. If authentication is successful, the terminal begins the process of migrating user data stored on the device. At this point, the terminal scans its internal data and creates a list of data to be migrated. The output indicates that the data ready for migration is complete.

[0745] Step 4:

[0746] The device uses facial recognition and speech recognition technologies to detect the user's emotions. To do this, the device analyzes input data from the camera and microphone to determine the user's emotional state in real time. The results of the emotion analysis are then output, indicating the user's stress level and emotional state.

[0747] Step 5:

[0748] The device adaptively adjusts the user interface based on emotion detection results. Specifically, the complexity of the user interface changes according to the user's stress level. In this process, the device rearranges interface elements to make them easier for the user to understand and highlights important information. The output is an adjusted UI.

[0749] Step 6:

[0750] Based on the user's emotional state, the device uses a generative AI model to create and display an appropriate notification message. If necessary, it includes a relaxing message to alleviate the user's emotions. An example of a prompt might be, "If the user's emotional state is stressful, generate a message suggesting ways to relax." The output will be a notification message designed to provide reassurance to the user.

[0751] (Application Example 2)

[0752] 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".

[0753] In highly networked environments such as smart homes and smart cities, users need to quickly and securely transfer authentication information and synchronize data when adding or replacing new devices. However, traditional methods often involve cumbersome and stressful processes. Furthermore, there is a lack of functionality to flexibly change procedures and interfaces according to the user's emotions, making it difficult to provide a highly satisfying user experience.

[0754] 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.

[0755] In this invention, the server includes means for storing user authentication information in a data storage means, means for detecting the user's emotions through voice analysis and facial analysis, and means for adjusting the interface based on the detected emotions. This enables users to smoothly adopt new devices and provides customized information management tailored to their individual needs.

[0756] "User authentication information" refers to information used to identify a user and verify their permissions.

[0757] "Data storage means" refers to devices or functions for storing and retaining information.

[0758] "Means of operation" refers to the means of accessing a specific process or function.

[0759] "Devices" refer to digital devices and network devices used by users.

[0760] "User information" refers to all personal data and usage data related to the user.

[0761] "Speech analysis" is a technology that analyzes audio signals to extract information.

[0762] "Facial analysis" is a technology that analyzes image data of faces to extract information.

[0763] "Emotions" refer to data that indicates the user's psychological state.

[0764] An "interface" is the point of contact that allows the user and the system to interact with each other.

[0765] "External information resources" refer to databases and data stores located outside of the internal system.

[0766] "Information-based communication" refers to communication technologies for securely exchanging information.

[0767] The embodiments for carrying out the invention are described below.

[0768] The system for realizing this application is centered around the user's smartphone or smart device. The server utilizes cloud-based data storage to store user authentication information. Furthermore, it uses a generative AI model to perform facial and voice analysis to detect the user's emotions in real time. In this process, facial features are analyzed using tools such as Amazon Rekognition, and speech is converted to text using Google Cloud Speech-to-Text for emotion analysis. Based on this, the device provides an optimal interface that responds to the user's emotions.

[0769] Specifically, when a user sets up a new smart device, the device senses the user's facial expressions and voice in real time and analyzes their emotions. If the user shows signs of anxiety, the interface is simplified and more detailed step-by-step instructions are displayed. This helps the user complete the device setup smoothly while reducing stress. The server communicates with external information resources using secure protocols such as SSL / TLS when the user's authentication information changes or needs updating, and synchronizes or updates the necessary data.

[0770] An example of a prompt message is: "If the system detects that the user is experiencing anxiety while setting up a new device, suggest appropriate support to provide." This prompt message is used to provide appropriate support information to the generative AI model.

[0771] The system, configured in this way, utilizes an emotion engine to enhance the user experience and enables smooth, stress-free data migration and authentication information management.

[0772] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0773] Step 1:

[0774] The user begins the setup process for a new smart device. The device captures the user's facial expressions with its camera and their voice with its microphone. This input data is collected for facial and voice analysis.

[0775] Step 2:

[0776] The device sends collected facial images and audio data to Amazon Rekognition and Google Cloud Speech-to-Text services. This input data is first converted to text, and then its emotions are analyzed using a generative AI model. The output is data indicating the user's current emotions.

[0777] Step 3:

[0778] The device adjusts the user interface using emotional data obtained through analysis. Specifically, if the user is feeling anxious, it elaborates on the setup guide and displays step-by-step support. The input is emotional data, and the output is the adjusted interface displayed to the user.

[0779] Step 4:

[0780] The server updates user authentication information and synchronizes data. During this process, it receives authentication information transmitted from the terminal via a secure protocol as input and queries external information resources as needed. The output consists of the latest authentication information and synchronized data.

[0781] Step 5:

[0782] Ultimately, the user completes the device setup and experiences a smooth data migration. The terminal confirms that the entire process is complete and provides the user with a completion notification. The input is the user's completion of the operation, and the output is the completion notification from the terminal.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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. In the upper and lower directions of the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. Also, the upper side of the concentric circles is where "pleasant" emotions are located, and the lower side is where "unpleasant" emotions are located. In this way, 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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."

[0792] 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.

[0793] 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.

[0794] 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.

[0795] 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.

[0796] 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.

[0797] 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.

[0798] 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.

[0799] 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.

[0800] 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.

[0801] 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.

[0802] 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.

[0803] 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 to be incorporated by reference.

[0804] The following is further disclosed regarding the embodiments described above.

[0805] (Claim 1)

[0806] A means for storing user authentication information in a storage device,

[0807] A means for automatically logging into a specified program using the aforementioned user authentication information,

[0808] After the aforementioned login, means for synchronizing user data stored on other devices,

[0809] A means of querying an external database when authentication information is unknown,

[0810] A means of updating authentication information based on the results of the inquiry,

[0811] A system that includes this.

[0812] (Claim 2)

[0813] The system according to claim 1, wherein backup data is periodically saved to an external storage device.

[0814] (Claim 3)

[0815] The system according to claim 1, wherein authentication information is verified by encrypted communication.

[0816] "Example 1"

[0817] (Claim 1)

[0818] A means for storing user authentication information on a storage medium,

[0819] A means of automatically logging into specified application software using the aforementioned user authentication information,

[0820] After the aforementioned login, a means for synchronizing user information stored on different devices,

[0821] A means of using an artificial intelligence agent to query external information resources when authentication information is unknown,

[0822] A means of updating authentication information based on the results of the inquiry,

[0823] A system that includes this.

[0824] (Claim 2)

[0825] The system according to claim 1, wherein backup data is periodically saved to an external storage medium.

[0826] (Claim 3)

[0827] The system according to claim 1, wherein authentication information is verified by encrypted communication.

[0828] "Application Example 1"

[0829] (Claim 1)

[0830] A means for storing user authentication information in a storage element,

[0831] A means for automatically accessing a specified application program using the aforementioned user authentication information,

[0832] After the aforementioned access, means for synchronizing user information stored on other devices,

[0833] A means of querying external sources when authentication information is unknown,

[0834] A means of updating authentication information based on the results of the inquiry,

[0835] A means of centrally managing residents' digital device data,

[0836] A means of automatically syncing personal settings and service information to a new device,

[0837] A system that includes this.

[0838] (Claim 2)

[0839] The system according to claim 1, wherein stored data is periodically saved to an external storage element.

[0840] (Claim 3)

[0841] The system according to claim 1, wherein authentication information is verified by encrypted communication.

[0842] "Example 2 of combining an emotion engine"

[0843] (Claim 1)

[0844] A means for storing user authentication information in a storage device,

[0845] A means for automatically logging into a specified program using the aforementioned user authentication information,

[0846] After the aforementioned login, means for synchronizing user data stored on other devices,

[0847] A means of querying an external database when authentication information is unknown,

[0848] A means of updating authentication information based on the results of the inquiry,

[0849] A means for detecting a user's emotions using facial recognition and speech recognition,

[0850] A means of adjusting the user interface based on detected emotions,

[0851] A means of sending emotion-responsive notification messages to users,

[0852] A system that includes this.

[0853] (Claim 2)

[0854] The system according to claim 1, wherein backup data is periodically saved to an external storage device.

[0855] (Claim 3)

[0856] The system according to claim 1, wherein authentication information is verified by encrypted communication.

[0857] "Application example 2 when combining with an emotional engine"

[0858] (Claim 1)

[0859] A means for storing user authentication information in a data storage means,

[0860] A means for automatically accessing a specified operating means using the user authentication information,

[0861] After the aforementioned access, means for synchronizing user information stored on other devices,

[0862] A means of detecting a user's emotions through voice analysis and facial analysis,

[0863] Means for adjusting the interface based on detected emotions,

[0864] A means of querying external information resources when authentication information is unknown,

[0865] A means of updating authentication information based on the results of the inquiry,

[0866] A system that includes this.

[0867] (Claim 2)

[0868] The system according to claim 1, wherein backup information is periodically stored in an external information storage means.

[0869] (Claim 3)

[0870] The system according to claim 1, which verifies authentication information by information and communication. [Explanation of Symbols]

[0871] 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

1. A means for storing user authentication information in a storage element, A means for automatically accessing a specified application program using the aforementioned user authentication information, After the aforementioned access, means for synchronizing user information stored on other devices, A means of querying external sources when authentication information is unknown, A means of updating authentication information based on the results of the inquiry, A means of centrally managing residents' digital device data, A means of automatically syncing personal settings and service information to a new device, A system that includes this.

2. The system according to claim 1, wherein stored data is periodically saved to an external storage element.

3. The system according to claim 1, wherein authentication information is verified by encrypted communication.

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