system

Abstract

We provide the system. [Solution] A means for receiving user authentication information and obtaining the user's profile information via an external authentication system, A means for dynamically generating user interface specifications based on the profile information, A system that includes means for adjusting the user interface according to the generated specifications.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's 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] For systems and public terminals that are used for the first time, it is difficult for users to obtain a personalized experience based on their individual preferences and history, and there is a problem that the user experience deteriorates. In addition, since these systems are often used temporarily, it is not practical to apply customization for each user, and as a result, the convenience and attractiveness of the services provided are impaired.

Means for Solving the Problems

[0005] The present invention provides a system that includes means for obtaining profile information from an external authentication system based on user authentication information, and means for dynamically generating user interface specifications based on the acquired profile information and immediately reflecting them on the terminal. Furthermore, by providing means for dynamically generating source code to realize specific functions based on the generated specifications, and distributing said source code for implementation on the terminal, the invention achieves a high level of personalization and convenience for the user.

[0006] "User authentication information" refers to the information necessary for a user to be granted access to the system, and typically includes a username, password, token, etc.

[0007] An "external authentication system" is a mechanism that verifies the user's identity outside of the system, and includes servers and services that receive user authentication information and perform identity verification.

[0008] "Profile information" refers to data that includes information such as a user's interests, preferences, and behavioral history, and is used to provide a personalized experience for each individual user.

[0009] "User interface specifications" refer to design information about the screens and user experience that users encounter when operating a system, and include elements such as layout, color, arrangement, and operation.

[0010] "Dynamically generated" means that the content is not predetermined, but rather generated instantly in real time according to the situation and data.

[0011] A "terminal" is a device used by a user to access the system's services, and includes personal computers, smartphones, tablets, and other similar devices.

[0012] "Source code" is code that describes the operation of a program, and through compilation and interpretation, it is converted into machine language, which then instructs the computer to perform its actions.

[0013] "Distributing" refers to the act of sending data or information from a server to a device and making it available for use on the device. [Brief explanation of the drawing]

[0014] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] 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]It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Embodiments for Carrying Out the Invention

[0015] 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.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), etc.

[0018] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] 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).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] This invention provides a system for offering a comfortable and personalized user experience when users utilize public terminals. This system uses user authentication information to obtain profile information from an external authentication system and dynamically constructs the terminal's user interface based on that profile information.

[0036] First, when a user accesses the device, an authentication screen is displayed, and the user enters their authentication information. This authentication information is sent from the device to an external authentication system. The authentication system verifies the information, and if it is correct, returns the user profile information to the server.

[0037] Next, the server generates user interface specifications through a generative AI model based on the acquired user profile. These specifications are designed so that specific functions and information are displayed preferentially based on the user's interests and history. For example, users who are highly interested in shopping will see related products and coupon information prominently displayed on the home screen.

[0038] The server then sends the generated UI specifications to the device, which immediately updates the UI and presents the user with a customized screen. This ensures that the user has a consistent and personalized experience.

[0039] Furthermore, for certain services and applications, the server uses an AI model to generate the necessary source code. This source code is then delivered to the device, and the functionality is implemented dynamically. Users can enjoy a variety of functions tailored to their preferences, even if they are limited to using a specific device.

[0040] For example, if user A frequently uses a music streaming service, recommended songs and playlists will be highlighted on the home screen after authentication, allowing them to start using the service smoothly. This results in a seamless and comfortable user experience.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] The user accesses a public terminal, and a login screen is displayed. The user enters their authentication information and presses the submit button.

[0044] Step 2:

[0045] The terminal sends the entered authentication information to an external authentication system. The authentication system verifies the information and, if successful, returns an authentication token.

[0046] Step 3:

[0047] The device sends the received authentication token to the server. The server uses that token to retrieve the user's profile information from an external authentication system.

[0048] Step 4:

[0049] The server dynamically generates user interface specifications using a generative AI model based on the user's profile information. These specifications include UI layout and display priority.

[0050] Step 5:

[0051] The server sends the specifications of the generated user interface to the terminal. The terminal then reconstructs the UI based on these specifications and provides the user with a personalized screen.

[0052] Step 6:

[0053] The server generates source code for specific functions as needed. This code includes customizations for the target application or service.

[0054] Step 7:

[0055] The server delivers the generated source code to the terminal, and the terminal implements it to provide users with additional functions and services.

[0056] Step 8:

[0057] Users can enjoy a customized experience by utilizing personalized features on their device and performing actions as needed.

[0058] (Example 1)

[0059] 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."

[0060] When using public terminals, there is a challenge in providing a personalized user experience based on each user's different interests and usage history. Furthermore, there is a need to flexibly and efficiently implement real-time customized functions. Additionally, there is a lack of effective methods for utilizing user authentication and profile information to present optimal content tailored to their areas of interest.

[0061] 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.

[0062] In this invention, the server includes means for receiving user authentication data and acquiring profile data via an external authentication mechanism, means for dynamically designing user interface specifications based on the profile data using a generative AI model, and means for presenting customized information to the terminal in real time using the acquired profile data and operation history. This enables a personalized user experience tailored to the user's interests.

[0063] "Authentication data" refers to information used to uniquely identify a user within a system and verify their access rights.

[0064] An "external authentication mechanism" is a process or system located outside the system that verifies the user's authentication information.

[0065] "Profile data" refers to a collection of information that includes a user's personal information, interests, and past behavioral history.

[0066] A "generative AI model" is an artificial intelligence technology that learns specific patterns from data to assist in the design of user interfaces and functions.

[0067] "User interface specifications" refer to detailed design requirements regarding the screen layout, functions, and design that users experience on a device.

[0068] "Dynamic design" is a process of updating a design in real time to adapt to changing information and circumstances, rather than relying on pre-programmed, static specifications.

[0069] "Customized information" refers to content and features that are individually tailored to each user's interests and needs.

[0070] "Real-time" refers to a temporal concept where processing and responses are performed immediately, minimizing delays.

[0071] This invention relates to a system that provides users with a customized operating experience through public information devices. The system is configured as follows:

[0072] First, when a user connects to an information device, a login screen is displayed, and the user enters their authentication data. This authentication data includes information that enables user identification, such as an ID and password.

[0073] Next, the device sends this authentication data to an external authentication mechanism to verify the user's legitimacy. If authentication is successful, the external authentication mechanism sends the user's profile data to a server. This profile data includes the user's personal information, past behavioral history, and interests.

[0074] The server uses the acquired profile data to run a generative AI model, which generates user interface specifications optimized for the user. The generative AI model utilizes machine learning algorithms to design the UI in real time according to the user's interests and needs. For example, for users interested in shopping, related products and coupons are designed to be prominently displayed on the home screen.

[0075] The server then sends the generated user interface specifications to the terminal. The terminal reconstructs the screen based on those specifications and immediately presents the user with customized information.

[0076] Furthermore, the server utilizes a generative AI model to dynamically generate code for specific functions and deliver it to the device. For example, users who frequently use music streaming services can immediately access recommended songs and playlists on their home screen.

[0077] An example of a prompt message is, "Create a list of recommended products based on the user's past purchase history." This is input into the AI ​​model, enabling it to design a user interface optimized for the user. As a result, users can use an interface tailored to their preferences, regardless of the specific device they are using.

[0078] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0079] Step 1:

[0080] The user accesses the information device, and the login interface is displayed. Here, the user enters their ID and password. The entered data is sent from the terminal to an external authentication mechanism. The authentication mechanism verifies whether the ID and password are correct, and if they are valid, returns the authentication result to the server. The input for this step is the user's ID and password, and the output is the result of successful or unsuccessful authentication.

[0081] Step 2:

[0082] If authentication is successful, the server receives user profile data from the external authentication mechanism. This profile data includes information such as the user's personal information, past behavior history, and interests. The input is the profile data provided externally, which the server uses to prepare for the next step in processing.

[0083] Step 3:

[0084] The server activates a generative AI model based on the received profile data and designs the user interface specifications. In this process, the user's interests and past behaviors obtained from the profile are input to the generative AI model as prompts, and the UI design is dynamically generated. The input is profile data and prompts, and the output is a UI specification tailored to the user's needs.

[0085] Step 4:

[0086] The server generates a customized UI specification and sends it to the terminal. The terminal then reconstructs the screen based on this UI specification and provides information tailored to the user. As a result, the user can continue working with an interface based on their past behavior history and interests. The input is the UI specification, and the output is the customized screen that the user sees.

[0087] Step 5:

[0088] When necessary for a particular service or application, the server uses a generative AI model to generate code to implement additional functionality. This code is sent to the terminal and executed immediately. The input for this step is a request representing the required functionality, and the output is the dynamically generated code to implement that functionality and its execution result. For example, this could include a specific action where, upon logging into a music streaming service, a recommended playlist is immediately displayed.

[0089] (Application Example 1)

[0090] 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."

[0091] In traditional public terminal usage, it was difficult to provide personalized services to each user, and a uniform interface was offered to all users. This resulted in a poor user experience and, in particular, a lack of service tailored to customer needs. Specifically, there was a problem in quickly accessing frequently used products and services.

[0092] 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.

[0093] In this invention, the server includes means for receiving user authentication information and obtaining the user's profile information via an external authentication system, means for dynamically generating user interface specifications based on the profile information, and means for preferentially displaying customized information and functions based on the specifications. This enables the preferential provision of specific information according to the user's interests and history, resulting in a personalized and comfortable user experience.

[0094] "User authentication information" refers to information that a user enters into a terminal to identify themselves, and includes user IDs and passwords.

[0095] An "external authentication system" is an external system that verifies and determines the validity of a user's authentication information, and has the function of ensuring the correct authentication of the user.

[0096] "Profile information" is a collection of personalized information that includes a user's interests, history, settings, and other details.

[0097] "User interface specifications" refer to design information that determines the configuration of the operation screens and functions displayed on the device.

[0098] A "server" is a computing system that provides data and functions over a network.

[0099] "Customized information" refers to information provided in an individualized form based on the user's profile information.

[0100] A "specific function" refers to a series of operations or actions performed on the device in response to the user's needs.

[0101] "Source code" is a collection of program instructions written to implement a specific function.

[0102] A "terminal" is a device that a user directly operates, and includes smart kiosks and computers.

[0103] The system for implementing this invention mainly consists of three elements: a server, a terminal, and a user. In the initial step of the system, the user enters their authentication information through an interface installed on the terminal to start the authentication process. The authentication information is encrypted and transmitted to an external authentication system.

[0104] The server waits for a response from the authentication system and then receives the user's profile information. Based on the received profile information, the server uses a generative AI model to dynamically generate the user interface specifications. In this generation process, specific UI design is performed using prompts. For example, the prompt might say, "Determine which information and functions should be displayed preferentially based on the user's interests."

[0105] The generated UI specifications are sent from the server to the device, and the device immediately updates the display on the screen. This allows the user to instantly view customized information tailored to their profile.

[0106] As a concrete example, consider a smart kiosk terminal installed in a physical store. When a user logs into the terminal, they will receive personalized product recommendations based on their past purchase history. Furthermore, it is possible to request efficient interface generation from the generating AI model, such as a prompt message like, "Show me new product information recommended for me."

[0107] The server also dynamically generates source code to implement specific functions, distributes it to the terminal, and implements it. This allows the terminal's functionality to be extended according to user needs and accommodate a variety of usage scenarios.

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The user enters authentication information into the terminal's interface. The entered user ID and password are encrypted and sent to an external authentication system. Here, the input is the user's authentication information, and the output is encrypted authentication data. The terminal plays the role of securely transmitting this data.

[0111] Step 2:

[0112] An external authentication system receives encrypted authentication information and verifies the user's validity. Upon successful authentication, profile information is generated and sent back to the server. The input is encrypted authentication data, and the output is the user's profile information. Based on this profile information, the authentication system organizes data including the user's past history.

[0113] Step 3:

[0114] The server dynamically generates user interface specifications using a generative AI model based on profile information received from the authentication system. At this time, prompt statements are used to instruct the generative AI model on specific UI design. For example, the prompt statement might be "Prioritize displaying recommended products based on the user's interests." The input here consists of the user's profile information and the prompt statement, while the output is the dynamically generated UI specification.

[0115] Step 4:

[0116] The server sends the generated UI specification to the terminal. The terminal receives this information and immediately updates the display on the screen. The terminal's operation screen is personalized based on the user's profile information. The input is the UI specification, and the output is a customized user interface. Specifically, products in categories of interest to the user are displayed preferentially.

[0117] Step 5:

[0118] The server then dynamically generates source code to implement specific functions and delivers it to the terminal. The terminal receives this source code and performs the optimal operation requested by the user through the implemented functions. For example, code is generated to add a function to display new product categories. The input is the requirement specification for the specific function, and the output is the source code of the implemented function.

[0119] 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.

[0120] This invention provides a system for offering a highly personalized experience when users utilize public terminals, further enhancing individualization through the use of an emotion engine. This system obtains profile information from an external authentication system using the user's authentication credentials and dynamically adjusts the user interface based on that information. Furthermore, it can recognize the user's emotions in real time using the emotion engine and apply corresponding changes to the interface.

[0121] First, the user accesses the device and enters their authentication information. This information is sent from the device to an external authentication system, and if authentication is successful, an authentication token is returned. This token is sent from the device to the server, which retrieves the profile information.

[0122] Next, based on the acquired profile information, the server uses a generative AI model to generate user interface specifications. The generated specifications are sent to the device, which then reconstructs the UI based on them. At that point, the user can see a personalized screen.

[0123] Furthermore, the emotion engine analyzes the user's emotions from their facial expressions and tone of voice. For example, if the user is feeling stressed, the device will change the UI's color scheme to a calmer one and suggest relaxing content. This information is sent to the server and immediately reflected as adjustments to the user interface.

[0124] For example, when user A starts using the device, many SNS notifications are displayed based on their profile information. However, if the emotion engine detects that user A is panicking, the device temporarily suppresses notifications and displays a simple breathing guide. In this way, by converging emotions and behavioral history, it becomes possible to provide a more consistent user experience.

[0125] The following describes the processing flow.

[0126] Step 1:

[0127] The user accesses a public terminal, and a login screen is displayed. The user enters their authentication information and attempts to log in.

[0128] Step 2:

[0129] The terminal sends the entered authentication information to an external authentication system to perform user authentication. If authentication is successful, an authentication token is received.

[0130] Step 3:

[0131] The device sends the received authentication token to the server. The server uses that token to retrieve the user's profile information from an external authentication system.

[0132] Step 4:

[0133] Based on the acquired profile information, the server dynamically generates user interface specifications via a generation AI model. These specifications are based on the user's settings and previous history.

[0134] Step 5:

[0135] The server sends the generated user interface specifications to the terminal. The terminal customizes the UI according to these specifications and provides the user with a screen tailored to their needs.

[0136] Step 6:

[0137] The emotion engine built into the device analyzes the user's emotions from their facial expressions and tone of voice. It collects and analyzes emotional data in real time.

[0138] Step 7:

[0139] The server uses the emotional information provided by the emotion engine to generate and send instructions to the terminal to further refine the user interface specifications.

[0140] Step 8:

[0141] The device's user interface makes adjustments based on the user's emotions. For example, it prepares relaxing colors and content for users who are feeling stressed.

[0142] Step 9:

[0143] Users can smoothly utilize pre-customized features and content while using the interface. The user experience is optimized based on real-time feedback.

[0144] (Example 2)

[0145] 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".

[0146] Conventional public terminal systems provide users with a uniform screen and information, making personalization to suit individual user preferences and emotions difficult. Furthermore, the inability to reflect changes in user emotions in real time and adjust the interface accordingly resulted in a limited user experience and often led to dissatisfaction.

[0147] 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.

[0148] In this invention, the server includes means for receiving user authentication information and obtaining user information of the user via an external authentication mechanism, means for dynamically generating user interface specifications based on the user information, and means for analyzing the user's emotions using an emotion recognition mechanism and adjusting the user interface according to those emotions. This makes it possible to provide a highly personalized interface that meets the individual needs of each user and realize a consistent user experience that reflects the user's emotions in real time.

[0149] "Authentication information" refers to data and credentials used to identify a user and verify their access rights.

[0150] An "authentication mechanism" is a procedure or system for verifying a user's authentication information and confirming its legitimacy.

[0151] "User information" refers to data that includes personal data and profile information related to individual users.

[0152] "User interface" refers to the screen layout and operating environment that allows a user to interact with a computer or device.

[0153] A "specification" is a document or data that provides detailed design and configuration guidelines to meet specific functions or requirements.

[0154] An "emotion recognition mechanism" is a system that analyzes and identifies a user's emotions at a given moment based on their facial expressions, tone of voice, and other factors.

[0155] "A consistent user experience" refers to a continuous and harmonious sense of operation and impression that users receive through the system.

[0156] This invention is a system that combines specific technologies to provide users with a highly personalized experience when using public terminals. This system dynamically adjusts the interface based on the user's profile through authentication verification and sentiment analysis.

[0157] First, the user accesses a public terminal and enters their authentication information. The terminal provides this information to an external authentication system and, upon successful authentication, receives an authentication token. The hardware used in this process includes general computer terminals, while the software utilizes an external authentication platform.

[0158] After successful authentication, the device sends an authentication token to the server. The server retrieves the user's profile information from its database or external data sources. This profile information includes individual data such as the user's preferences and history.

[0159] The server uses a generative AI model to analyze profile information and generate user interface specifications. In this process, it provides the generative AI model with a prompt message: "Design an optimized UI based on this user's profile."

[0160] The generated specifications are sent to the terminal, which then dynamically reconfigures the user interface according to those specifications. This allows the user to begin operating with a individually tailored interface.

[0161] Furthermore, the device uses an emotion recognition mechanism to analyze the user's facial expressions and voice in real time. For example, if it detects that the user is stressed, the interface's color scheme may be changed or relaxation content may be suggested. This information is sent to a server and used to further refine the interface.

[0162] For example, when a user starts using a device, many notifications are displayed based on their profile information, but the emotion engine detects the user's frustration. The device then temporarily suppresses notifications and displays relaxation content. In this way, the user's experience becomes tailored to their emotional state.

[0163] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0164] Step 1:

[0165] The user accesses a public terminal and enters authentication information. This information includes a user ID and password. The terminal uses this information to send a request to an external authentication mechanism, and if authentication is successful, it receives an authentication token. Specifically, the terminal receives user input and accesses authentication middleware via a communication protocol. The token contains uniquely identifiable information as data items.

[0166] Step 2:

[0167] The terminal sends an authentication token to the server. The server accepts this token and retrieves the user's profile information from an external system or database. The output is profile data, including name, history, and configuration information. Specifically, the server verifies the validity of the token and executes a database query to retrieve the information.

[0168] Step 3:

[0169] The server applies a generated AI model based on the acquired profile information to create a user interface specification. It takes profile information as input and the interface specification as output. Specifically, the server provides the AI ​​engine with the prompt "Design an optimized UI based on this user's profile" and receives a design proposal.

[0170] Step 4:

[0171] The generated user interface specification is sent to the terminal. The terminal then reconstructs the UI based on this specification. The input is the interface specification, and the output is the specific UI configuration displayed on the user's screen. In terms of specific operation, the terminal parses the received data and rearranges the UI elements.

[0172] Step 5:

[0173] The device uses an emotion recognition mechanism to analyze the user's facial expressions and voice in real time. It uses the user's face and voice data as input and obtains their emotional state as output. Specifically, it processes data from the camera and microphone through an analysis algorithm to identify an emotion category.

[0174] Step 6:

[0175] Based on the results of the emotion analysis, the device adjusts the UI and, if necessary, suggests relaxing content. The input is emotion data, and the output is the modified UI and suggested content. Specifically, the interface's color scheme and displayed content change, and new widgets are added.

[0176] (Application Example 2)

[0177] 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".

[0178] Traditional user interfaces are uniform and lack the flexibility to respond to individual user emotions and profile information. Furthermore, in physical stores, providing personalized information to each customer is difficult. This makes it challenging to provide optimal information to customers and improve customer satisfaction.

[0179] 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.

[0180] In this invention, the server includes means for receiving user authentication information and obtaining the user's profile information via an external authentication system; means for dynamically generating user interface specifications based on the profile information; means for adjusting the user interface according to the generated specifications; means for analyzing the subject's emotions using an emotion engine and optimizing information display based on the analysis results; and means for providing information in the real world using a smart device. This enables personalized information provision according to the user's individual profile information and emotional state.

[0181] "Means for receiving user authentication information" refers to a mechanism that obtains data entered by a user when using a terminal or device, and verifies the user's legitimacy based on that data.

[0182] An "external authentication system" is a third-party service or network that can verify the authentication information of individual users and obtain profile information that users have registered in advance.

[0183] "Profile information" refers to personalized data such as user identification information, personal preferences, and past behavioral history.

[0184] "Means for dynamically generating user interface specifications" refers to a mechanism for creating user-optimized interfaces in real time based on acquired profile information.

[0185] "Means for adjusting the user interface according to the generated specifications" refers to a mechanism for adjusting and configuring displayed information and UI components based on the dynamically generated interface design.

[0186] An "emotion engine" is an algorithm or software that analyzes sensor data such as a user's facial expressions, voice tone, and gestures to infer the user's emotional state.

[0187] "A means of analyzing emotions and optimizing information display based on the analysis results" refers to the process of receiving the analysis results from the emotion engine and improving the information to be displayed and the interface layout to the most appropriate form accordingly.

[0188] "Means of providing information in real space using smart devices" refers to methods of providing dynamic information in a real environment using hardware equipped with a display and audio output functions.

[0189] In order to implement this invention, several key components must work together. First, the terminal used by the user must be equipped with sensor devices such as a camera and a microphone. These devices are used to acquire emotional information such as the user's facial expressions and tone of voice.

[0190] The terminal receives the authentication information entered by the user and sends it to an external authentication system. The authentication system retrieves the user's profile from this information and returns it to the server. Based on the received profile information, the server dynamically generates the user interface specifications using a generative AI model. These specifications are customized based on the user's preferences and past behavior.

[0191] Next, the server sends the generated specifications to the terminal, which then adjusts the user interface based on those specifications. Furthermore, an emotion engine on the terminal analyzes the user's emotions in real time and optimizes the information display based on the results.

[0192] For example, if the information displayed on a smart device is detected as causing stress to the user, the UI's color scheme will be changed to a calmer tone, and relaxing content will be recommended. Specifically, when a customer in a sports goods store picks up a pair of running shoes, the smart device can display reviews and follow-up promotional information related to those shoes. In this way, a personalized user experience that reflects the user's emotions and preferences in real time is provided.

[0193] The following prompt can be used for the generative AI model: "Provide detailed information and promotions for the product the user is holding, and customize additional information based on the emotions conveyed through their facial expressions and words."

[0194] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0195] Step 1:

[0196] The user enters authentication information into the device. The device sends this information to an external authentication system and receives profile information as a result of authentication. This profile information becomes the basic data for subsequent processing.

[0197] Step 2:

[0198] The device sends profile information obtained from the terminal to the server. The server receives this profile information as input and dynamically generates the user interface specifications using a generative AI model. The data processing here involves generating a UI design based on the user's preferences and history.

[0199] Step 3:

[0200] The server sends the generated user interface specification to the terminal. The terminal receives this specification, dynamically adjusts the UI, and displays it to the user. The output is a visual user interface that is personalized based on profile information.

[0201] Step 4:

[0202] The emotion engine analyzes the user's facial expressions and voice tone using the camera and microphone built into the device. The input is real-time captured audio and video data, and the user's emotional state obtained through analysis is output.

[0203] Step 5:

[0204] The device sends analysis results from the emotion engine to the server, which then generates instructions to optimize the information display. This further personalizes the user interface and content display.

[0205] Step 6:

[0206] Ultimately, the device readjusts the UI according to instructions received from the server and provides optimized information to the user. This process can improve the user experience by selecting and displaying appropriate information and content based on sentiment analysis results and profile information.

[0207] 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.

[0208] 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.

[0209] 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.

[0210] [Second Embodiment]

[0211] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0212] 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.

[0213] 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).

[0214] 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.

[0215] 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.

[0216] 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).

[0217] 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.

[0218] 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.

[0219] 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.

[0220] 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.

[0221] 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.

[0222] 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".

[0223] This invention provides a system for offering a comfortable and personalized user experience when users utilize public terminals. This system uses user authentication information to obtain profile information from an external authentication system and dynamically constructs the terminal's user interface based on that profile information.

[0224] First, when a user accesses the device, an authentication screen is displayed, and the user enters their authentication information. This authentication information is sent from the device to an external authentication system. The authentication system verifies the information, and if it is correct, returns the user profile information to the server.

[0225] Next, the server generates user interface specifications through a generative AI model based on the acquired user profile. These specifications are designed so that specific functions and information are displayed preferentially based on the user's interests and history. For example, users who are highly interested in shopping will see related products and coupon information prominently displayed on the home screen.

[0226] The server then sends the generated UI specifications to the device, which immediately updates the UI and presents the user with a customized screen. This ensures that the user has a consistent and personalized experience.

[0227] Furthermore, for certain services and applications, the server uses an AI model to generate the necessary source code. This source code is then delivered to the device, and the functionality is implemented dynamically. Users can enjoy a variety of functions tailored to their preferences, even if they are limited to using a specific device.

[0228] For example, if user A frequently uses a music streaming service, recommended songs and playlists will be highlighted on the home screen after authentication, allowing them to start using the service smoothly. This results in a seamless and comfortable user experience.

[0229] The following describes the processing flow.

[0230] Step 1:

[0231] The user accesses a public terminal, and a login screen is displayed. The user enters their authentication information and presses the submit button.

[0232] Step 2:

[0233] The terminal sends the entered authentication information to an external authentication system. The authentication system verifies the information and, if successful, returns an authentication token.

[0234] Step 3:

[0235] The device sends the received authentication token to the server. The server uses that token to retrieve the user's profile information from an external authentication system.

[0236] Step 4:

[0237] The server dynamically generates user interface specifications using a generative AI model based on the user's profile information. These specifications include UI layout and display priority.

[0238] Step 5:

[0239] The server sends the specifications of the generated user interface to the terminal. The terminal then reconstructs the UI based on these specifications and provides the user with a personalized screen.

[0240] Step 6:

[0241] The server generates source code for specific functions as needed. This code includes customizations for the target application or service.

[0242] Step 7:

[0243] The server delivers the generated source code to the terminal, and the terminal implements it to provide users with additional functions and services.

[0244] Step 8:

[0245] Users can enjoy a customized experience by utilizing personalized features on their device and performing actions as needed.

[0246] (Example 1)

[0247] 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."

[0248] When using public terminals, there is a challenge in providing a personalized user experience based on each user's different interests and usage history. Furthermore, there is a need to flexibly and efficiently implement real-time customized functions. Additionally, there is a lack of effective methods for utilizing user authentication and profile information to present optimal content tailored to their areas of interest.

[0249] 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.

[0250] In this invention, the server includes means for receiving user authentication data and acquiring profile data via an external authentication mechanism, means for dynamically designing user interface specifications based on the profile data using a generative AI model, and means for presenting customized information to the terminal in real time using the acquired profile data and operation history. This enables a personalized user experience tailored to the user's interests.

[0251] "Authentication data" refers to information used to uniquely identify a user within a system and verify their access rights.

[0252] An "external authentication mechanism" is a process or system located outside the system that verifies the user's authentication information.

[0253] "Profile data" refers to a collection of information that includes a user's personal information, interests, and past behavioral history.

[0254] A "generative AI model" is an artificial intelligence technology that learns specific patterns from data to assist in the design of user interfaces and functions.

[0255] "User interface specifications" refer to detailed design requirements regarding the screen layout, functions, and design that users experience on a device.

[0256] "Dynamic design" is a process of updating a design in real time to adapt to changing information and circumstances, rather than relying on pre-programmed, static specifications.

[0257] "Customized information" refers to content and features that are individually tailored to each user's interests and needs.

[0258] "Real-time" refers to a temporal concept where processing and responses are performed immediately, minimizing delays.

[0259] This invention relates to a system that provides users with a customized operating experience through public information devices. The system is configured as follows:

[0260] First, when a user connects to an information device, a login screen is displayed, and the user enters their authentication data. This authentication data includes information that enables user identification, such as an ID and password.

[0261] Next, the device sends this authentication data to an external authentication mechanism to verify the user's legitimacy. If authentication is successful, the external authentication mechanism sends the user's profile data to a server. This profile data includes the user's personal information, past behavioral history, and interests.

[0262] The server uses the acquired profile data to run a generative AI model, which generates user interface specifications optimized for the user. The generative AI model utilizes machine learning algorithms to design the UI in real time according to the user's interests and needs. For example, for users interested in shopping, related products and coupons are designed to be prominently displayed on the home screen.

[0263] The server then sends the generated user interface specifications to the terminal. The terminal reconstructs the screen based on those specifications and immediately presents the user with customized information.

[0264] Furthermore, the server utilizes a generative AI model to dynamically generate code for specific functions and deliver it to the device. For example, users who frequently use music streaming services can immediately access recommended songs and playlists on their home screen.

[0265] An example of a prompt message is, "Create a list of recommended products based on the user's past purchase history." This is input into the AI ​​model, enabling it to design a user interface optimized for the user. As a result, users can use an interface tailored to their preferences, regardless of the specific device they are using.

[0266] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0267] Step 1:

[0268] The user accesses the information device, and the login interface is displayed. Here, the user enters their ID and password. The entered data is sent from the terminal to an external authentication mechanism. The authentication mechanism verifies whether the ID and password are correct, and if they are valid, returns the authentication result to the server. The input for this step is the user's ID and password, and the output is the result of successful or unsuccessful authentication.

[0269] Step 2:

[0270] If authentication is successful, the server receives user profile data from the external authentication mechanism. This profile data includes information such as the user's personal information, past behavior history, and interests. The input is the profile data provided externally, which the server uses to prepare for the next step in processing.

[0271] Step 3:

[0272] The server activates a generative AI model based on the received profile data and designs the user interface specifications. In this process, the user's interests and past behaviors obtained from the profile are input to the generative AI model as prompts, and the UI design is dynamically generated. The input is profile data and prompts, and the output is a UI specification tailored to the user's needs.

[0273] Step 4:

[0274] The server generates a customized UI specification and sends it to the terminal. The terminal then reconstructs the screen based on this UI specification and provides information tailored to the user. As a result, the user can continue working with an interface based on their past behavior history and interests. The input is the UI specification, and the output is the customized screen that the user sees.

[0275] Step 5:

[0276] When necessary for a particular service or application, the server uses a generative AI model to generate code to implement additional functionality. This code is sent to the terminal and executed immediately. The input for this step is a request representing the required functionality, and the output is the dynamically generated code to implement that functionality and its execution result. For example, this could include a specific action where, upon logging into a music streaming service, a recommended playlist is immediately displayed.

[0277] (Application Example 1)

[0278] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0279] In the conventional use of public terminals, it has been difficult to provide user-specific services, and a uniform interface has been provided to all users. For this reason, there has been a problem that the user experience is poor and it is impossible to provide services according to the needs of customers in particular. Specifically, there has been a problem that it is difficult to quickly access frequently used products and services.

[0280] 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.

[0281] In this invention, the server includes means for receiving user authentication information and obtaining the user's profile information via an external authentication system, means for dynamically generating the specifications of the user interface based on the profile information, and means for preferentially displaying customized information and functions based on the specifications. As a result, specific information can be preferentially provided according to the user's interests and history, and an individualized and comfortable usage experience becomes possible.

[0282] The "user authentication information" is information that the user inputs to the terminal to identify himself / herself, and includes a user ID, password, and the like.

[0283] The "external authentication system" is an external system that confirms the user's authentication information and determines its validity, and has a function of correctly authenticating the user.

[0284] The "profile information" is a set of individualized information including the user's interests, history, settings, and the like.

[0285] The "specifications of the user interface" are design information that determines the configuration of the operation screen and functions displayed on the terminal.

[0286] A "server" is a computer system that provides data and functions via a network.

[0287] "Customized information" is information provided in an individualized form based on the user's profile information.

[0288] "Specific functions" are a series of operations and actions that operate on a terminal according to the user's needs.

[0289] "Source code" is a collection of program instruction statements written to implement specific functions.

[0290] A "terminal" is a device directly operated by a user, including smart kiosks, computers, etc.

[0291] The system for implementing this invention mainly consists of three elements: a server, a terminal, and a user. In the initial step of the system, the user inputs their authentication information through the interface installed on the terminal to start the authentication process. The authentication information is encrypted and sent to an external authentication system.

[0292] The server waits for the reply from the authentication system and then receives the user's profile information. Based on the received profile information, the server utilizes the generated AI model to dynamically generate the specifications of the user interface. In this generation process, a specific UI design is carried out using prompt texts. For example, input a prompt text such as "Please determine the information and functions to be preferentially displayed based on the user's interests".

[0293] The generated UI specifications are sent by the server to the terminal, and the terminal immediately updates the display on the screen. As a result, the user can immediately view the customized information according to their own profile.

[0294] As a concrete example, consider a smart kiosk terminal installed in a physical store. When a user logs into the terminal, they will receive personalized product recommendations based on their past purchase history. Furthermore, it is possible to request efficient interface generation from the generating AI model, such as a prompt message like, "Show me new product information recommended for me."

[0295] The server also dynamically generates source code to implement specific functions, distributes it to the terminal, and implements it. This allows the terminal's functionality to be extended according to user needs and accommodate a variety of usage scenarios.

[0296] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0297] Step 1:

[0298] The user enters authentication information into the terminal's interface. The entered user ID and password are encrypted and sent to an external authentication system. Here, the input is the user's authentication information, and the output is encrypted authentication data. The terminal plays the role of securely transmitting this data.

[0299] Step 2:

[0300] An external authentication system receives encrypted authentication information and verifies the user's validity. Upon successful authentication, profile information is generated and sent back to the server. The input is encrypted authentication data, and the output is the user's profile information. Based on this profile information, the authentication system organizes data including the user's past history.

[0301] Step 3:

[0302] Based on the profile information received by the server from the authentication system, the server dynamically generates the specifications of the user interface using a generative AI model. At this time, a prompt sentence is used to instruct the generative AI model on the specific UI design. For example, enter "Please display recommended products based on the user's interests preferentially" as the prompt sentence. The input here is the user's profile information and the prompt sentence, and the output is the dynamically generated UI specification.

[0303] Step 4:

[0304] The server sends the UI specification generated to the terminal. Upon receiving this information, the terminal immediately updates the display on the screen. The operation screen of the terminal is individualized based on the user's profile information. The input is the UI specification, and the output is the customized user interface. As a specific operation, products in the category that the user is interested in are preferentially displayed.

[0305] Step 5:

[0306] The server further dynamically generates the source code for implementing a specific function and distributes it to the terminal. The terminal receives this source code and realizes the optimal operation required by the user through the implemented function. For example, code for adding a function to display a new product category is generated. The input is the requirement specification of the specific function, and the output is the source code of the implemented function.

[0307] 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.

[0308] This invention provides a system for offering a highly personalized experience when users utilize public terminals, further enhancing individualization through the use of an emotion engine. This system obtains profile information from an external authentication system using the user's authentication credentials and dynamically adjusts the user interface based on that information. Furthermore, it can recognize the user's emotions in real time using the emotion engine and apply corresponding changes to the interface.

[0309] First, the user accesses the device and enters their authentication information. This information is sent from the device to an external authentication system, and if authentication is successful, an authentication token is returned. This token is sent from the device to the server, which retrieves the profile information.

[0310] Next, based on the acquired profile information, the server uses a generative AI model to generate user interface specifications. The generated specifications are sent to the device, which then reconstructs the UI based on them. At that point, the user can see a personalized screen.

[0311] Furthermore, the emotion engine analyzes the user's emotions from their facial expressions and tone of voice. For example, if the user is feeling stressed, the device will change the UI's color scheme to a calmer one and suggest relaxing content. This information is sent to the server and immediately reflected as adjustments to the user interface.

[0312] For example, when user A starts using the device, many SNS notifications are displayed based on their profile information. However, if the emotion engine detects that user A is panicking, the device temporarily suppresses notifications and displays a simple breathing guide. In this way, by converging emotions and behavioral history, it becomes possible to provide a more consistent user experience.

[0313] The following describes the processing flow.

[0314] Step 1:

[0315] The user accesses a public terminal, and a login screen is displayed. The user enters their authentication information and attempts to log in.

[0316] Step 2:

[0317] The terminal sends the entered authentication information to an external authentication system to perform user authentication. If authentication is successful, an authentication token is received.

[0318] Step 3:

[0319] The device sends the received authentication token to the server. The server uses that token to retrieve the user's profile information from an external authentication system.

[0320] Step 4:

[0321] Based on the acquired profile information, the server dynamically generates user interface specifications via a generation AI model. These specifications are based on the user's settings and previous history.

[0322] Step 5:

[0323] The server sends the generated user interface specifications to the terminal. The terminal customizes the UI according to these specifications and provides the user with a screen tailored to their needs.

[0324] Step 6:

[0325] The emotion engine built into the device analyzes the user's emotions from their facial expressions and tone of voice. It collects and analyzes emotional data in real time.

[0326] Step 7:

[0327] The server uses the emotional information provided by the emotion engine to generate and send instructions to the terminal to further refine the user interface specifications.

[0328] Step 8:

[0329] The device's user interface makes adjustments based on the user's emotions. For example, it prepares relaxing colors and content for users who are feeling stressed.

[0330] Step 9:

[0331] Users can smoothly utilize pre-customized features and content while using the interface. The user experience is optimized based on real-time feedback.

[0332] (Example 2)

[0333] 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".

[0334] Conventional public terminal systems provide users with a uniform screen and information, making personalization to suit individual user preferences and emotions difficult. Furthermore, the inability to reflect changes in user emotions in real time and adjust the interface accordingly resulted in a limited user experience and often led to dissatisfaction.

[0335] 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.

[0336] In this invention, the server includes means for receiving user authentication information and obtaining user information of the user via an external authentication mechanism, means for dynamically generating user interface specifications based on the user information, and means for analyzing the user's emotions using an emotion recognition mechanism and adjusting the user interface according to those emotions. This makes it possible to provide a highly personalized interface that meets the individual needs of each user and realize a consistent user experience that reflects the user's emotions in real time.

[0337] "Authentication information" refers to data and credentials used to identify a user and verify their access rights.

[0338] An "authentication mechanism" is a procedure or system for verifying a user's authentication information and confirming its legitimacy.

[0339] "User information" refers to data that includes personal data and profile information related to individual users.

[0340] "User interface" refers to the screen layout and operating environment that allows a user to interact with a computer or device.

[0341] A "specification" is a document or data that provides detailed design and configuration guidelines to meet specific functions or requirements.

[0342] An "emotion recognition mechanism" is a system that analyzes and identifies a user's emotions at a given moment based on their facial expressions, tone of voice, and other factors.

[0343] "A consistent user experience" refers to a continuous and harmonious sense of operation and impression that users receive through the system.

[0344] This invention is a system that combines specific technologies to provide users with a highly personalized experience when using public terminals. This system dynamically adjusts the interface based on the user's profile through authentication verification and sentiment analysis.

[0345] First, the user accesses a public terminal and enters their authentication information. The terminal provides this information to an external authentication system and, upon successful authentication, receives an authentication token. The hardware used in this process includes general computer terminals, while the software utilizes an external authentication platform.

[0346] After successful authentication, the device sends an authentication token to the server. The server retrieves the user's profile information from its database or external data sources. This profile information includes individual data such as the user's preferences and history.

[0347] The server uses a generative AI model to analyze profile information and generate user interface specifications. In this process, it provides the generative AI model with a prompt message: "Design an optimized UI based on this user's profile."

[0348] The generated specifications are sent to the terminal, which then dynamically reconfigures the user interface according to those specifications. This allows the user to begin operating with a individually tailored interface.

[0349] Furthermore, the device uses an emotion recognition mechanism to analyze the user's facial expressions and voice in real time. For example, if it detects that the user is stressed, the interface's color scheme may be changed or relaxation content may be suggested. This information is sent to a server and used to further refine the interface.

[0350] For example, when a user starts using a device, many notifications are displayed based on their profile information, but the emotion engine detects the user's frustration. The device then temporarily suppresses notifications and displays relaxation content. In this way, the user's experience becomes tailored to their emotional state.

[0351] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0352] Step 1:

[0353] The user accesses a public terminal and enters authentication information. This information includes a user ID and password. The terminal uses this information to send a request to an external authentication mechanism, and if authentication is successful, it receives an authentication token. Specifically, the terminal receives user input and accesses authentication middleware via a communication protocol. The token contains uniquely identifiable information as data items.

[0354] Step 2:

[0355] The terminal sends an authentication token to the server. The server accepts this token and retrieves the user's profile information from an external system or database. The output is profile data, including name, history, and configuration information. Specifically, the server verifies the validity of the token and executes a database query to retrieve the information.

[0356] Step 3:

[0357] The server applies a generated AI model based on the acquired profile information to create a user interface specification. It takes profile information as input and the interface specification as output. Specifically, the server provides the AI ​​engine with the prompt "Design an optimized UI based on this user's profile" and receives a design proposal.

[0358] Step 4:

[0359] The generated user interface specification is sent to the terminal. The terminal then reconstructs the UI based on this specification. The input is the interface specification, and the output is the specific UI configuration displayed on the user's screen. In terms of specific operation, the terminal parses the received data and rearranges the UI elements.

[0360] Step 5:

[0361] The device uses an emotion recognition mechanism to analyze the user's facial expressions and voice in real time. It uses the user's face and voice data as input and obtains their emotional state as output. Specifically, it processes data from the camera and microphone through an analysis algorithm to identify an emotion category.

[0362] Step 6:

[0363] Based on the results of the emotion analysis, the device adjusts the UI and, if necessary, suggests relaxing content. The input is emotion data, and the output is the modified UI and suggested content. Specifically, the interface's color scheme and displayed content change, and new widgets are added.

[0364] (Application Example 2)

[0365] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0366] Traditional user interfaces are uniform and lack the flexibility to respond to individual user emotions and profile information. Furthermore, in physical stores, providing personalized information to each customer is difficult. This makes it challenging to provide optimal information to customers and improve customer satisfaction.

[0367] 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.

[0368] In this invention, the server includes means for receiving user authentication information and obtaining the user's profile information via an external authentication system; means for dynamically generating user interface specifications based on the profile information; means for adjusting the user interface according to the generated specifications; means for analyzing the subject's emotions using an emotion engine and optimizing information display based on the analysis results; and means for providing information in the real world using a smart device. This enables personalized information provision according to the user's individual profile information and emotional state.

[0369] "Means for receiving user authentication information" refers to a mechanism that obtains data entered by a user when using a terminal or device, and verifies the user's legitimacy based on that data.

[0370] An "external authentication system" is a third-party service or network that can verify the authentication information of individual users and obtain profile information that users have registered in advance.

[0371] "Profile information" refers to personalized data such as user identification information, personal preferences, and past behavioral history.

[0372] "Means for dynamically generating user interface specifications" refers to a mechanism for creating user-optimized interfaces in real time based on acquired profile information.

[0373] "Means for adjusting the user interface according to the generated specifications" refers to a mechanism for adjusting and configuring displayed information and UI components based on the dynamically generated interface design.

[0374] An "emotion engine" is an algorithm or software that analyzes sensor data such as a user's facial expressions, voice tone, and gestures to infer the user's emotional state.

[0375] "A means of analyzing emotions and optimizing information display based on the analysis results" refers to the process of receiving the analysis results from the emotion engine and improving the information to be displayed and the interface layout to the most appropriate form accordingly.

[0376] "Means of providing information in real space using smart devices" refers to methods of providing dynamic information in a real environment using hardware equipped with a display and audio output functions.

[0377] In order to implement this invention, several key components must work together. First, the terminal used by the user must be equipped with sensor devices such as a camera and a microphone. These devices are used to acquire emotional information such as the user's facial expressions and tone of voice.

[0378] The terminal receives the authentication information entered by the user and sends it to an external authentication system. The authentication system retrieves the user's profile from this information and returns it to the server. Based on the received profile information, the server dynamically generates the user interface specifications using a generative AI model. These specifications are customized based on the user's preferences and past behavior.

[0379] Next, the server sends the generated specifications to the terminal, which then adjusts the user interface based on those specifications. Furthermore, an emotion engine on the terminal analyzes the user's emotions in real time and optimizes the information display based on the results.

[0380] For example, if the information displayed on a smart device is detected as causing stress to the user, the UI's color scheme will be changed to a calmer tone, and relaxing content will be recommended. Specifically, when a customer in a sports goods store picks up a pair of running shoes, the smart device can display reviews and follow-up promotional information related to those shoes. In this way, a personalized user experience is provided that reflects the user's emotions and preferences in real time.

[0381] The following prompt can be used for the generative AI model: "Provide detailed information and promotion for the product the user is holding, and customize additional information based on the emotions conveyed by their facial expressions and words."

[0382] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0383] Step 1:

[0384] The user enters authentication information into the device. The device sends this information to an external authentication system and receives profile information as a result of authentication. This profile information becomes the basic data for subsequent processing.

[0385] Step 2:

[0386] The device sends profile information obtained from the terminal to the server. The server receives this profile information as input and dynamically generates the user interface specifications using a generative AI model. The data processing here involves generating a UI design based on the user's preferences and history.

[0387] Step 3:

[0388] The server sends the generated user interface specification to the terminal. The terminal receives this specification, dynamically adjusts the UI, and displays it to the user. The output is a visual user interface that is personalized based on profile information.

[0389] Step 4:

[0390] The emotion engine analyzes the user's facial expressions and voice tone using the camera and microphone built into the device. The input is real-time captured audio and video data, and the user's emotional state obtained through analysis is output.

[0391] Step 5:

[0392] The device sends analysis results from the emotion engine to the server, which then generates instructions to optimize the information display. This further personalizes the user interface and content display.

[0393] Step 6:

[0394] Ultimately, the device readjusts the UI according to instructions received from the server and provides optimized information to the user. This process can improve the user experience by selecting and displaying appropriate information and content based on sentiment analysis results and profile information.

[0395] 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.

[0396] 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.

[0397] 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.

[0398] [Third Embodiment]

[0399] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0400] 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.

[0401] 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).

[0402] 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.

[0403] 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.

[0404] 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).

[0405] 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.

[0406] 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.

[0407] 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.

[0408] 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.

[0409] 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.

[0410] 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".

[0411] This invention provides a system for offering a comfortable and personalized user experience when users utilize public terminals. This system uses user authentication information to obtain profile information from an external authentication system and dynamically constructs the terminal's user interface based on that profile information.

[0412] First, when a user accesses the device, an authentication screen is displayed, and the user enters their authentication information. This authentication information is sent from the device to an external authentication system. The authentication system verifies the information, and if correct, returns the user profile information to the server.

[0413] Next, the server generates user interface specifications through a generative AI model based on the acquired user profile. These specifications are designed so that specific functions and information are displayed preferentially based on the user's interests and history. For example, users who are highly interested in shopping will see related products and coupon information prominently displayed on the home screen.

[0414] The server then sends the generated UI specifications to the device, which immediately updates the UI and presents the user with a customized screen. This ensures that the user has a consistent and personalized experience.

[0415] Furthermore, for certain services and applications, the server uses an AI model to generate the necessary source code. This source code is then delivered to the device, and the functionality is implemented dynamically. Users can enjoy a variety of functions tailored to their preferences, even if they are limited to using a specific device.

[0416] For example, if user A frequently uses a music streaming service, recommended songs and playlists will be highlighted on the home screen after authentication, allowing them to start using the service smoothly. This results in a seamless and comfortable user experience.

[0417] The following describes the processing flow.

[0418] Step 1:

[0419] The user accesses a public terminal, and a login screen is displayed. The user enters their authentication information and presses the submit button.

[0420] Step 2:

[0421] The terminal sends the entered authentication information to an external authentication system. The authentication system verifies the information and, if successful, returns an authentication token.

[0422] Step 3:

[0423] The device sends the received authentication token to the server. The server uses that token to retrieve the user's profile information from an external authentication system.

[0424] Step 4:

[0425] The server dynamically generates user interface specifications using a generative AI model based on the user's profile information. These specifications include UI layout and display priority.

[0426] Step 5:

[0427] The server sends the specifications of the generated user interface to the terminal. The terminal then reconstructs the UI based on these specifications, providing the user with a personalized screen.

[0428] Step 6:

[0429] The server generates source code for specific functions as needed. This code includes customizations for the target application or service.

[0430] Step 7:

[0431] The server delivers the generated source code to the terminal, and the terminal implements it to provide users with additional functions and services.

[0432] Step 8:

[0433] Users can enjoy a customized experience by utilizing personalized features on their device and performing actions as needed.

[0434] (Example 1)

[0435] 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."

[0436] When using public terminals, there is a challenge in providing a personalized user experience based on each user's different interests and usage history. Furthermore, there is a need to flexibly and efficiently implement real-time customized functions. Additionally, there is a lack of effective methods for utilizing user authentication and profile information to present optimal content tailored to their areas of interest.

[0437] 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.

[0438] In this invention, the server includes means for receiving user authentication data and acquiring profile data via an external authentication mechanism, means for dynamically designing user interface specifications based on the profile data using a generative AI model, and means for presenting customized information to the terminal in real time using the acquired profile data and operation history. This enables a personalized user experience tailored to the user's interests.

[0439] "Authentication data" refers to information used to uniquely identify a user within a system and verify their access rights.

[0440] An "external authentication mechanism" is a process or system located outside the system that verifies the user's authentication information.

[0441] "Profile data" refers to a collection of information that includes a user's personal information, interests, and past behavioral history.

[0442] A "generative AI model" is an artificial intelligence technology that learns specific patterns from data to assist in the design of user interfaces and functions.

[0443] "User interface specifications" refer to detailed design requirements regarding the screen layout, functions, and design that users experience on a device.

[0444] "Dynamic design" is a process of updating a design in real time to adapt to changing information and circumstances, rather than relying on pre-programmed, static specifications.

[0445] "Customized information" refers to content and features that are individually tailored to each user's interests and needs.

[0446] "Real-time" refers to a temporal concept where processing and responses are performed immediately, minimizing delays.

[0447] This invention relates to a system that provides users with a customized operating experience through public information devices. The system is configured as follows:

[0448] First, when a user connects to an information device, a login screen is displayed, and the user enters their authentication data. This authentication data includes information that enables user identification, such as an ID and password.

[0449] Next, the device sends this authentication data to an external authentication mechanism to verify the user's legitimacy. If authentication is successful, the external authentication mechanism sends the user's profile data to a server. This profile data includes the user's personal information, past behavioral history, and interests.

[0450] The server uses the acquired profile data to run a generative AI model, which generates user interface specifications optimized for the user. The generative AI model utilizes machine learning algorithms to design the UI in real time according to the user's interests and needs. For example, for users interested in shopping, related products and coupons are designed to be prominently displayed on the home screen.

[0451] The server then sends the generated user interface specifications to the terminal. The terminal reconstructs the screen based on those specifications and immediately presents the user with customized information.

[0452] Furthermore, the server utilizes a generative AI model to dynamically generate code for specific functions and deliver it to the device. For example, users who frequently use music streaming services can immediately access recommended songs and playlists on their home screen.

[0453] An example of a prompt message is, "Create a list of recommended products based on the user's past purchase history." This is input into the AI ​​model, enabling it to design a user interface optimized for the user. As a result, users can use an interface tailored to their preferences, regardless of the specific device they are using.

[0454] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0455] Step 1:

[0456] The user accesses the information device, and the login interface is displayed. Here, the user enters their ID and password. The entered data is sent from the terminal to an external authentication mechanism. The authentication mechanism verifies whether the ID and password are correct, and if they are valid, returns the authentication result to the server. The input for this step is the user's ID and password, and the output is the result of successful or unsuccessful authentication.

[0457] Step 2:

[0458] If authentication is successful, the server receives user profile data from the external authentication mechanism. This profile data includes information such as the user's personal information, past behavior history, and interests. The input is the profile data provided externally, which the server uses to prepare for the next step in processing.

[0459] Step 3:

[0460] The server activates a generative AI model based on the received profile data and designs the user interface specifications. In this process, the user's interests and past behaviors obtained from the profile are input to the generative AI model as prompts, and the UI design is dynamically generated. The input is profile data and prompts, and the output is a UI specification tailored to the user's needs.

[0461] Step 4:

[0462] The server generates a customized UI specification and sends it to the terminal. The terminal then reconstructs the screen based on this UI specification and provides information tailored to the user. As a result, the user can continue working with an interface based on their past behavior history and interests. The input is the UI specification, and the output is the customized screen that the user sees.

[0463] Step 5:

[0464] When necessary for a particular service or application, the server uses a generative AI model to generate code to implement additional functionality. This code is sent to the terminal and executed immediately. The input for this step is a request representing the required functionality, and the output is the dynamically generated code to implement that functionality and its execution result. For example, this could include a specific action where, upon logging into a music streaming service, a recommended playlist is immediately displayed.

[0465] (Application Example 1)

[0466] 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."

[0467] In traditional public terminal usage, it was difficult to provide personalized services to each user, and a uniform interface was offered to all users. This resulted in a poor user experience and, in particular, a lack of service tailored to customer needs. Specifically, there was a problem in quickly accessing frequently used products and services.

[0468] 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.

[0469] In this invention, the server includes means for receiving user authentication information and obtaining the user's profile information via an external authentication system, means for dynamically generating user interface specifications based on the profile information, and means for preferentially displaying customized information and functions based on the specifications. This enables the preferential provision of specific information according to the user's interests and history, resulting in a personalized and comfortable user experience.

[0470] "User authentication information" refers to information that a user enters into a terminal to identify themselves, and includes user IDs and passwords.

[0471] An "external authentication system" is an external system that verifies and determines the validity of a user's authentication information, and has the function of ensuring the correct authentication of the user.

[0472] "Profile information" is a collection of personalized information that includes a user's interests, history, settings, and other details.

[0473] "User interface specifications" refer to design information that determines the configuration of the operation screens and functions displayed on the device.

[0474] A "server" is a computing system that provides data and functions over a network.

[0475] "Customized information" refers to information provided in an individualized form based on the user's profile information.

[0476] A "specific function" refers to a series of operations or actions performed on the device in response to the user's needs.

[0477] "Source code" is a collection of program instructions written to implement a specific function.

[0478] A "terminal" is a device that a user directly operates, and includes smart kiosks and computers.

[0479] The system for implementing this invention mainly consists of three elements: a server, a terminal, and a user. In the initial step of the system, the user enters their authentication information through an interface installed on the terminal to start the authentication process. The authentication information is encrypted and transmitted to an external authentication system.

[0480] The server waits for a response from the authentication system and then receives the user's profile information. Based on the received profile information, the server uses a generative AI model to dynamically generate the user interface specifications. In this generation process, specific UI design is performed using prompts. For example, the prompt might say, "Determine which information and functions should be displayed preferentially based on the user's interests."

[0481] The generated UI specifications are sent from the server to the device, and the device immediately updates the display on the screen. This allows the user to instantly view customized information tailored to their profile.

[0482] As a concrete example, consider a smart kiosk terminal installed in a physical store. When a user logs into the terminal, they will receive personalized product recommendations based on their past purchase history. Furthermore, it is possible to request efficient interface generation from the generating AI model, such as a prompt message like, "Show me new product information recommended for me."

[0483] The server also dynamically generates source code to implement specific functions, distributes it to the terminal, and implements it. This allows the terminal's functionality to be extended according to user needs and accommodate a variety of usage scenarios.

[0484] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0485] Step 1:

[0486] The user enters authentication information into the terminal's interface. The entered user ID and password are encrypted and sent to an external authentication system. Here, the input is the user's authentication information, and the output is encrypted authentication data. The terminal plays the role of securely transmitting this data.

[0487] Step 2:

[0488] An external authentication system receives encrypted authentication information and verifies the user's validity. Upon successful authentication, profile information is generated and sent back to the server. The input is encrypted authentication data, and the output is the user's profile information. Based on this profile information, the authentication system organizes data including the user's past history.

[0489] Step 3:

[0490] The server dynamically generates user interface specifications using a generative AI model based on profile information received from the authentication system. At this time, prompt statements are used to instruct the generative AI model on specific UI design. For example, the prompt statement might be "Prioritize displaying recommended products based on the user's interests." The input here consists of the user's profile information and the prompt statement, while the output is the dynamically generated UI specification.

[0491] Step 4:

[0492] The server sends the generated UI specification to the terminal. The terminal receives this information and immediately updates the display on the screen. The terminal's operation screen is personalized based on the user's profile information. The input is the UI specification, and the output is a customized user interface. Specifically, products in categories of interest to the user are displayed preferentially.

[0493] Step 5:

[0494] The server then dynamically generates source code to implement specific functions and delivers it to the terminal. The terminal receives this source code and performs the optimal operation requested by the user through the implemented functions. For example, code is generated to add a function to display new product categories. The input is the requirement specification for the specific function, and the output is the source code of the implemented function.

[0495] 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.

[0496] This invention provides a system for offering a highly personalized experience when users utilize public terminals, further enhancing individualization through the use of an emotion engine. This system obtains profile information from an external authentication system using the user's authentication credentials and dynamically adjusts the user interface based on that information. Furthermore, it can recognize the user's emotions in real time using the emotion engine and apply corresponding changes to the interface.

[0497] First, the user accesses the device and enters their authentication information. This information is sent from the device to an external authentication system, and if authentication is successful, an authentication token is returned. This token is sent from the device to the server, which retrieves the profile information.

[0498] Next, based on the acquired profile information, the server uses a generative AI model to generate user interface specifications. The generated specifications are sent to the device, which then reconstructs the UI based on them. At that point, the user can see a personalized screen.

[0499] Furthermore, the emotion engine analyzes the user's emotions from their facial expressions and tone of voice. For example, if the user is feeling stressed, the device will change the UI's color scheme to a calmer one and suggest relaxing content. This information is sent to the server and immediately reflected as adjustments to the user interface.

[0500] For example, when user A starts using the device, many SNS notifications are displayed based on their profile information. However, if the emotion engine detects that user A is panicking, the device temporarily suppresses notifications and displays a simple breathing guide. In this way, by converging emotions and behavioral history, it becomes possible to provide a more consistent user experience.

[0501] The following describes the processing flow.

[0502] Step 1:

[0503] The user accesses a public terminal, and a login screen is displayed. The user enters their authentication information and attempts to log in.

[0504] Step 2:

[0505] The terminal sends the entered authentication information to an external authentication system to perform user authentication. If authentication is successful, an authentication token is received.

[0506] Step 3:

[0507] The device sends the received authentication token to the server. The server uses that token to retrieve the user's profile information from an external authentication system.

[0508] Step 4:

[0509] Based on the acquired profile information, the server dynamically generates user interface specifications via a generation AI model. These specifications are based on the user's settings and previous history.

[0510] Step 5:

[0511] The server sends the generated user interface specifications to the terminal. The terminal customizes the UI according to these specifications and provides the user with a screen tailored to their needs.

[0512] Step 6:

[0513] The emotion engine built into the device analyzes the user's emotions from their facial expressions and tone of voice. It collects and analyzes emotional data in real time.

[0514] Step 7:

[0515] The server uses the emotional information provided by the emotion engine to generate and send instructions to the terminal to further refine the user interface specifications.

[0516] Step 8:

[0517] The device's user interface makes adjustments based on the user's emotions. For example, it prepares relaxing colors and content for users who are feeling stressed.

[0518] Step 9:

[0519] Users can smoothly utilize pre-customized features and content while using the interface. The user experience is optimized based on real-time feedback.

[0520] (Example 2)

[0521] 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."

[0522] Conventional public terminal systems provide users with a uniform screen and information, making personalization to suit individual user preferences and emotions difficult. Furthermore, the inability to reflect changes in user emotions in real time and adjust the interface accordingly resulted in a limited user experience and often led to dissatisfaction.

[0523] 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.

[0524] In this invention, the server includes means for receiving user authentication information and obtaining user information of the user via an external authentication mechanism, means for dynamically generating user interface specifications based on the user information, and means for analyzing the user's emotions using an emotion recognition mechanism and adjusting the user interface according to those emotions. This makes it possible to provide a highly personalized interface that meets the individual needs of each user and realize a consistent user experience that reflects the user's emotions in real time.

[0525] "Authentication information" refers to data and credentials used to identify a user and verify their access rights.

[0526] An "authentication mechanism" is a procedure or system for verifying a user's authentication information and confirming its legitimacy.

[0527] "User information" refers to data that includes personal data and profile information related to individual users.

[0528] "User interface" refers to the screen layout and operating environment that allows a user to interact with a computer or device.

[0529] A "specification" is a document or data that provides detailed design and configuration guidelines to meet specific functions or requirements.

[0530] An "emotion recognition mechanism" is a system that analyzes and identifies a user's emotions at a given moment based on their facial expressions, tone of voice, and other factors.

[0531] "A consistent user experience" refers to a continuous and harmonious sense of operation and impression that users receive through the system.

[0532] This invention is a system that combines specific technologies to provide users with a highly personalized experience when using public terminals. This system dynamically adjusts the interface based on the user's profile through authentication verification and sentiment analysis.

[0533] First, the user accesses a public terminal and enters their authentication information. The terminal provides this information to an external authentication system and, upon successful authentication, receives an authentication token. The hardware used in this process includes general computer terminals, while the software utilizes an external authentication platform.

[0534] After successful authentication, the device sends an authentication token to the server. The server retrieves the user's profile information from its database or external data sources. This profile information includes individual data such as the user's preferences and history.

[0535] The server uses a generative AI model to analyze profile information and generate user interface specifications. In this process, it provides the generative AI model with a prompt message: "Design an optimized UI based on this user's profile."

[0536] The generated specifications are sent to the terminal, which then dynamically reconfigures the user interface according to those specifications. This allows the user to begin operating with a individually tailored interface.

[0537] Furthermore, the device uses an emotion recognition mechanism to analyze the user's facial expressions and voice in real time. For example, if it detects that the user is stressed, the interface's color scheme may be changed or relaxation content may be suggested. This information is sent to a server and used to further refine the interface.

[0538] For example, when a user starts using a device, many notifications are displayed based on their profile information, but the emotion engine detects the user's frustration. The device then temporarily suppresses notifications and displays relaxation content. In this way, the user's experience becomes tailored to their emotional state.

[0539] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0540] Step 1:

[0541] The user accesses a public terminal and enters authentication information. This information includes a user ID and password. The terminal uses this information to send a request to an external authentication mechanism, and if authentication is successful, it receives an authentication token. Specifically, the terminal receives user input and accesses authentication middleware via a communication protocol. The token contains uniquely identifiable information as data items.

[0542] Step 2:

[0543] The terminal sends an authentication token to the server. The server accepts this token and retrieves the user's profile information from an external system or database. The output is profile data, including name, history, and configuration information. Specifically, the server verifies the validity of the token and executes a database query to retrieve the information.

[0544] Step 3:

[0545] The server applies a generated AI model based on the acquired profile information to create a user interface specification. It takes profile information as input and the interface specification as output. Specifically, the server provides the AI ​​engine with the prompt "Design an optimized UI based on this user's profile" and receives a design proposal.

[0546] Step 4:

[0547] The generated user interface specification is sent to the terminal. The terminal then reconstructs the UI based on this specification. The input is the interface specification, and the output is the specific UI configuration displayed on the user's screen. In terms of specific operation, the terminal parses the received data and rearranges the UI elements.

[0548] Step 5:

[0549] The device uses an emotion recognition mechanism to analyze the user's facial expressions and voice in real time. It uses the user's face and voice data as input and obtains their emotional state as output. Specifically, it processes data from the camera and microphone through an analysis algorithm to identify an emotion category.

[0550] Step 6:

[0551] Based on the results of the emotion analysis, the device adjusts the UI and, if necessary, suggests relaxing content. The input is emotion data, and the output is the modified UI and suggested content. Specifically, the interface's color scheme and displayed content change, and new widgets are added.

[0552] (Application Example 2)

[0553] 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."

[0554] Traditional user interfaces are uniform and lack the flexibility to respond to individual user emotions and profile information. Furthermore, in physical stores, providing personalized information to each customer is difficult. This makes it challenging to provide optimal information to customers and improve customer satisfaction.

[0555] 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.

[0556] In this invention, the server includes means for receiving user authentication information and obtaining the user's profile information via an external authentication system; means for dynamically generating user interface specifications based on the profile information; means for adjusting the user interface according to the generated specifications; means for analyzing the subject's emotions using an emotion engine and optimizing information display based on the analysis results; and means for providing information in the real world using a smart device. This enables personalized information provision according to the user's individual profile information and emotional state.

[0557] "Means for receiving user authentication information" refers to a mechanism that obtains data entered by a user when using a terminal or device, and verifies the user's legitimacy based on that data.

[0558] An "external authentication system" is a third-party service or network that can verify the authentication information of individual users and obtain profile information that users have registered in advance.

[0559] "Profile information" refers to personalized data such as user identification information, personal preferences, and past behavioral history.

[0560] "Means for dynamically generating user interface specifications" refers to a mechanism for creating user-optimized interfaces in real time based on acquired profile information.

[0561] "Means for adjusting the user interface according to the generated specifications" refers to a mechanism for adjusting and configuring displayed information and UI components based on the dynamically generated interface design.

[0562] An "emotion engine" is an algorithm or software that analyzes sensor data such as a user's facial expressions, voice tone, and gestures to infer the user's emotional state.

[0563] "A means of analyzing emotions and optimizing information display based on the analysis results" refers to the process of receiving the analysis results from the emotion engine and improving the information to be displayed and the interface layout to the most appropriate form accordingly.

[0564] "Means of providing information in real space using smart devices" refers to methods of providing dynamic information in a real environment using hardware equipped with a display and audio output functions.

[0565] In order to implement this invention, several key components must work together. First, the terminal used by the user must be equipped with sensor devices such as a camera and a microphone. These devices are used to acquire emotional information such as the user's facial expressions and tone of voice.

[0566] The terminal receives the authentication information entered by the user and sends it to an external authentication system. The authentication system retrieves the user's profile from this information and returns it to the server. Based on the received profile information, the server dynamically generates the user interface specifications using a generative AI model. These specifications are customized based on the user's preferences and past behavior.

[0567] Next, the server sends the generated specifications to the terminal, which then adjusts the user interface based on those specifications. Furthermore, an emotion engine on the terminal analyzes the user's emotions in real time and optimizes the information display based on the results.

[0568] For example, if the information displayed on a smart device is detected as causing stress to the user, the UI's color scheme will be changed to a calmer tone, and relaxing content will be recommended. Specifically, when a customer in a sports goods store picks up a pair of running shoes, the smart device can display reviews and follow-up promotional information related to those shoes. In this way, a personalized user experience that reflects the user's emotions and preferences in real time is provided.

[0569] The following prompt can be used for the generative AI model: "Provide detailed information and promotions for the product the user is holding, and customize additional information based on the emotions conveyed through their facial expressions and words."

[0570] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0571] Step 1:

[0572] The user enters authentication information into the device. The device sends this information to an external authentication system and receives profile information as a result of authentication. This profile information becomes the basic data for subsequent processing.

[0573] Step 2:

[0574] The device sends profile information obtained from the terminal to the server. The server receives this profile information as input and dynamically generates the user interface specifications using a generative AI model. The data processing here involves generating a UI design based on the user's preferences and history.

[0575] Step 3:

[0576] The server sends the generated user interface specification to the terminal. The terminal receives this specification, dynamically adjusts the UI, and displays it to the user. The output is a visual user interface that is personalized based on profile information.

[0577] Step 4:

[0578] The emotion engine analyzes the user's facial expressions and voice tone using the camera and microphone built into the device. The input is real-time captured audio and video data, and the user's emotional state obtained through analysis is output.

[0579] Step 5:

[0580] The device sends analysis results from the emotion engine to the server, which then generates instructions to optimize the information display. This further personalizes the user interface and content display.

[0581] Step 6:

[0582] Ultimately, the device readjusts the UI according to instructions received from the server and provides optimized information to the user. This process can improve the user experience by selecting and displaying appropriate information and content based on sentiment analysis results and profile information.

[0583] 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.

[0584] 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.

[0585] 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.

[0586] [Fourth Embodiment]

[0587] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0588] 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.

[0589] 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).

[0590] 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.

[0591] 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.

[0592] 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).

[0593] 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.

[0594] 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.

[0595] 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.

[0596] 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.

[0597] 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.

[0598] 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.

[0599] 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".

[0600] This invention provides a system for offering a comfortable and personalized user experience when users utilize public terminals. This system uses user authentication information to obtain profile information from an external authentication system and dynamically constructs the terminal's user interface based on that profile information.

[0601] First, when a user accesses the device, an authentication screen is displayed, and the user enters their authentication information. This authentication information is sent from the device to an external authentication system. The authentication system verifies the information, and if it is correct, returns the user profile information to the server.

[0602] Next, the server generates user interface specifications through a generative AI model based on the acquired user profile. These specifications are designed so that specific functions and information are displayed preferentially based on the user's interests and history. For example, users who are highly interested in shopping will see related products and coupon information prominently displayed on the home screen.

[0603] The server then sends the generated UI specifications to the device, which immediately updates the UI and presents the user with a customized screen. This ensures that the user has a consistent and personalized experience.

[0604] Furthermore, for certain services and applications, the server uses an AI model to generate the necessary source code. This source code is then delivered to the device, and the functionality is implemented dynamically. Users can enjoy a variety of functions tailored to their preferences, even if they are limited to using a specific device.

[0605] For example, if user A frequently uses a music streaming service, recommended songs and playlists will be highlighted on the home screen after authentication, allowing them to start using the service smoothly. This results in a seamless and comfortable user experience.

[0606] The following describes the processing flow.

[0607] Step 1:

[0608] The user accesses a public terminal, and a login screen is displayed. The user enters their authentication information and presses the submit button.

[0609] Step 2:

[0610] The terminal sends the entered authentication information to an external authentication system. The authentication system verifies the information and, if successful, returns an authentication token.

[0611] Step 3:

[0612] The device sends the received authentication token to the server. The server uses that token to retrieve the user's profile information from an external authentication system.

[0613] Step 4:

[0614] The server dynamically generates user interface specifications using a generative AI model based on the user's profile information. These specifications include UI layout and display priority.

[0615] Step 5:

[0616] The server sends the specifications of the generated user interface to the terminal. The terminal then reconstructs the UI based on these specifications and provides the user with a personalized screen.

[0617] Step 6:

[0618] The server generates source code for specific functions as needed. This code includes customizations for the target application or service.

[0619] Step 7:

[0620] The server delivers the generated source code to the terminal, and the terminal implements it to provide users with additional functions and services.

[0621] Step 8:

[0622] Users can enjoy a customized experience by utilizing personalized features on their device and performing actions as needed.

[0623] (Example 1)

[0624] 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".

[0625] When using public terminals, there is a challenge in providing a personalized user experience based on each user's different interests and usage history. Furthermore, there is a need to flexibly and efficiently implement real-time customized functions. Additionally, there is a lack of effective methods for utilizing user authentication and profile information to present optimal content tailored to their areas of interest.

[0626] 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.

[0627] In this invention, the server includes means for receiving user authentication data and acquiring profile data via an external authentication mechanism, means for dynamically designing user interface specifications based on the profile data using a generative AI model, and means for presenting customized information to the terminal in real time using the acquired profile data and operation history. This enables a personalized user experience tailored to the user's interests.

[0628] "Authentication data" refers to information used to uniquely identify a user within a system and verify their access rights.

[0629] An "external authentication mechanism" is a process or system located outside the system that verifies the user's authentication information.

[0630] "Profile data" refers to a collection of information that includes a user's personal information, interests, and past behavioral history.

[0631] A "generative AI model" is an artificial intelligence technology that learns specific patterns from data to assist in the design of user interfaces and functions.

[0632] "User interface specifications" refer to detailed design requirements regarding the screen layout, functions, and design that users experience on a device.

[0633] "Dynamic design" is a process of updating a design in real time to adapt to changing information and circumstances, rather than relying on pre-programmed, static specifications.

[0634] "Customized information" refers to content and features that are individually tailored to each user's interests and needs.

[0635] "Real-time" refers to a temporal concept where processing and responses are performed immediately, minimizing delays.

[0636] This invention relates to a system that provides users with a customized operating experience through public information devices. The system is configured as follows:

[0637] First, when a user connects to an information device, a login screen is displayed, and the user enters their authentication data. This authentication data includes information that enables user identification, such as an ID and password.

[0638] Next, the device sends this authentication data to an external authentication mechanism to verify the user's legitimacy. If authentication is successful, the external authentication mechanism sends the user's profile data to a server. This profile data includes the user's personal information, past behavioral history, and interests.

[0639] The server uses the acquired profile data to run a generative AI model, which generates user interface specifications optimized for the user. The generative AI model utilizes machine learning algorithms to design the UI in real time according to the user's interests and needs. For example, for users interested in shopping, related products and coupons are designed to be prominently displayed on the home screen.

[0640] The server then sends the generated user interface specifications to the terminal. The terminal reconstructs the screen based on those specifications and immediately presents the user with customized information.

[0641] Furthermore, the server utilizes a generative AI model to dynamically generate code for specific functions and deliver it to the device. For example, users who frequently use music streaming services can immediately access recommended songs and playlists on their home screen.

[0642] An example of a prompt message is, "Create a list of recommended products based on the user's past purchase history." This is input into the AI ​​model, enabling it to design a user interface optimized for the user. As a result, users can use an interface tailored to their preferences, regardless of the specific device they are using.

[0643] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0644] Step 1:

[0645] The user accesses the information device, and the login interface is displayed. Here, the user enters their ID and password. The entered data is sent from the terminal to an external authentication mechanism. The authentication mechanism verifies whether the ID and password are correct, and if they are valid, returns the authentication result to the server. The input for this step is the user's ID and password, and the output is the result of successful or unsuccessful authentication.

[0646] Step 2:

[0647] If authentication is successful, the server receives user profile data from the external authentication mechanism. This profile data includes information such as the user's personal information, past behavior history, and interests. The input is the profile data provided externally, which the server uses to prepare for the next step in processing.

[0648] Step 3:

[0649] The server activates a generative AI model based on the received profile data and designs the user interface specifications. In this process, the user's interests and past behaviors obtained from the profile are input to the generative AI model as prompts, and the UI design is dynamically generated. The input is profile data and prompts, and the output is a UI specification tailored to the user's needs.

[0650] Step 4:

[0651] The server generates a customized UI specification and sends it to the terminal. The terminal then reconstructs the screen based on this UI specification and provides information tailored to the user. As a result, the user can continue working with an interface based on their past behavior history and interests. The input is the UI specification, and the output is the customized screen that the user sees.

[0652] Step 5:

[0653] When necessary for a particular service or application, the server uses a generative AI model to generate code to implement additional functionality. This code is sent to the terminal and executed immediately. The input for this step is a request representing the required functionality, and the output is the dynamically generated code to implement that functionality and its execution result. For example, this could include a specific action where, upon logging into a music streaming service, a recommended playlist is immediately displayed.

[0654] (Application Example 1)

[0655] 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".

[0656] In traditional public terminal usage, it was difficult to provide personalized services to each user, and a uniform interface was offered to all users. This resulted in a poor user experience and, in particular, a lack of service tailored to customer needs. Specifically, there was a problem in quickly accessing frequently used products and services.

[0657] 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.

[0658] In this invention, the server includes means for receiving user authentication information and obtaining the user's profile information via an external authentication system, means for dynamically generating user interface specifications based on the profile information, and means for preferentially displaying customized information and functions based on the specifications. This enables the preferential provision of specific information according to the user's interests and history, resulting in a personalized and comfortable user experience.

[0659] "User authentication information" refers to information that a user enters into a terminal to identify themselves, and includes user IDs and passwords.

[0660] An "external authentication system" is an external system that verifies and determines the validity of a user's authentication information, and has the function of ensuring the correct authentication of the user.

[0661] "Profile information" is a collection of personalized information that includes a user's interests, history, settings, and other details.

[0662] "User interface specifications" refer to design information that determines the configuration of the operation screens and functions displayed on the device.

[0663] A "server" is a computing system that provides data and functions over a network.

[0664] "Customized information" refers to information provided in an individualized form based on the user's profile information.

[0665] A "specific function" refers to a series of operations or actions performed on the device in response to the user's needs.

[0666] "Source code" is a collection of program instructions written to implement a specific function.

[0667] A "terminal" is a device that a user directly operates, and includes smart kiosks and computers.

[0668] The system for implementing this invention mainly consists of three elements: a server, a terminal, and a user. In the initial step of the system, the user enters their authentication information through an interface installed on the terminal to start the authentication process. The authentication information is encrypted and transmitted to an external authentication system.

[0669] The server waits for a response from the authentication system and then receives the user's profile information. Based on the received profile information, the server uses a generative AI model to dynamically generate the user interface specifications. In this generation process, specific UI design is performed using prompts. For example, the prompt might say, "Determine which information and functions should be displayed preferentially based on the user's interests."

[0670] The generated UI specifications are sent from the server to the device, and the device immediately updates the display on the screen. This allows the user to instantly view customized information tailored to their profile.

[0671] As a concrete example, consider a smart kiosk terminal installed in a physical store. When a user logs into the terminal, they will receive personalized product recommendations based on their past purchase history. Furthermore, it is possible to request efficient interface generation from the generating AI model, such as a prompt message like, "Show me new product information recommended for me."

[0672] The server also dynamically generates source code to implement specific functions, distributes it to the terminal, and implements it. This allows the terminal's functionality to be extended according to user needs and accommodate a variety of usage scenarios.

[0673] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0674] Step 1:

[0675] The user enters authentication information into the terminal's interface. The entered user ID and password are encrypted and sent to an external authentication system. Here, the input is the user's authentication information, and the output is encrypted authentication data. The terminal plays the role of securely transmitting this data.

[0676] Step 2:

[0677] An external authentication system receives encrypted authentication information and verifies the user's validity. Upon successful authentication, profile information is generated and sent back to the server. The input is encrypted authentication data, and the output is the user's profile information. Based on this profile information, the authentication system organizes data including the user's past history.

[0678] Step 3:

[0679] The server dynamically generates user interface specifications using a generative AI model based on profile information received from the authentication system. At this time, prompt statements are used to instruct the generative AI model on specific UI design. For example, the prompt statement might be "Prioritize displaying recommended products based on the user's interests." The input here consists of the user's profile information and the prompt statement, while the output is the dynamically generated UI specification.

[0680] Step 4:

[0681] The server sends the generated UI specification to the terminal. The terminal receives this information and immediately updates the display on the screen. The terminal's operation screen is personalized based on the user's profile information. The input is the UI specification, and the output is a customized user interface. Specifically, products in categories of interest to the user are displayed preferentially.

[0682] Step 5:

[0683] The server then dynamically generates source code to implement specific functions and delivers it to the terminal. The terminal receives this source code and performs the optimal operation requested by the user through the implemented functions. For example, code is generated to add a function to display new product categories. The input is the requirement specification for the specific function, and the output is the source code of the implemented function.

[0684] 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.

[0685] This invention provides a system for offering a highly personalized experience when users utilize public terminals, further enhancing individualization through the use of an emotion engine. This system obtains profile information from an external authentication system using the user's authentication credentials and dynamically adjusts the user interface based on that information. Furthermore, it can recognize the user's emotions in real time using the emotion engine and apply corresponding changes to the interface.

[0686] First, the user accesses the device and enters their authentication information. This information is sent from the device to an external authentication system, and if authentication is successful, an authentication token is returned. This token is sent from the device to the server, which retrieves the profile information.

[0687] Next, based on the acquired profile information, the server uses a generative AI model to generate user interface specifications. The generated specifications are sent to the device, which then reconstructs the UI based on them. At that point, the user can see a personalized screen.

[0688] Furthermore, the emotion engine analyzes the user's emotions from their facial expressions and tone of voice. For example, if the user is feeling stressed, the device will change the UI's color scheme to a calmer one and suggest relaxing content. This information is sent to the server and immediately reflected as adjustments to the user interface.

[0689] For example, when user A starts using the device, many SNS notifications are displayed based on their profile information. However, if the emotion engine detects that user A is panicking, the device temporarily suppresses notifications and displays a simple breathing guide. In this way, by converging emotions and behavioral history, it becomes possible to provide a more consistent user experience.

[0690] The following describes the processing flow.

[0691] Step 1:

[0692] The user accesses a public terminal, and a login screen is displayed. The user enters their authentication information and attempts to log in.

[0693] Step 2:

[0694] The terminal sends the entered authentication information to an external authentication system to perform user authentication. If authentication is successful, an authentication token is received.

[0695] Step 3:

[0696] The device sends the received authentication token to the server. The server uses that token to retrieve the user's profile information from an external authentication system.

[0697] Step 4:

[0698] Based on the acquired profile information, the server dynamically generates user interface specifications via a generation AI model. These specifications are based on the user's settings and previous history.

[0699] Step 5:

[0700] The server sends the generated user interface specifications to the terminal. The terminal customizes the UI according to these specifications and provides the user with a screen tailored to their needs.

[0701] Step 6:

[0702] The emotion engine built into the device analyzes the user's emotions from their facial expressions and tone of voice. It collects and analyzes emotional data in real time.

[0703] Step 7:

[0704] The server uses the emotional information provided by the emotion engine to generate and send instructions to the terminal to further refine the user interface specifications.

[0705] Step 8:

[0706] The device's user interface makes adjustments based on the user's emotions. For example, it prepares relaxing colors and content for users who are feeling stressed.

[0707] Step 9:

[0708] Users can smoothly utilize pre-customized features and content while using the interface. The user experience is optimized based on real-time feedback.

[0709] (Example 2)

[0710] 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".

[0711] Conventional public terminal systems provide users with a uniform screen and information, making personalization to suit individual user preferences and emotions difficult. Furthermore, the inability to reflect changes in user emotions in real time and adjust the interface accordingly resulted in a limited user experience and often led to dissatisfaction.

[0712] 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.

[0713] In this invention, the server includes means for receiving user authentication information and obtaining user information of the user via an external authentication mechanism, means for dynamically generating user interface specifications based on the user information, and means for analyzing the user's emotions using an emotion recognition mechanism and adjusting the user interface according to those emotions. This makes it possible to provide a highly personalized interface that meets the individual needs of each user and realize a consistent user experience that reflects the user's emotions in real time.

[0714] "Authentication information" refers to data and credentials used to identify a user and verify their access rights.

[0715] An "authentication mechanism" is a procedure or system for verifying a user's authentication information and confirming its legitimacy.

[0716] "User information" refers to data that includes personal data and profile information related to individual users.

[0717] "User interface" refers to the screen layout and operating environment that allows a user to interact with a computer or device.

[0718] A "specification" is a document or data that provides detailed design and configuration guidelines to meet specific functions or requirements.

[0719] An "emotion recognition mechanism" is a system that analyzes and identifies a user's emotions at a given moment based on their facial expressions, tone of voice, and other factors.

[0720] "A consistent user experience" refers to a continuous and harmonious sense of operation and impression that users receive through the system.

[0721] This invention is a system that combines specific technologies to provide users with a highly personalized experience when using public terminals. This system dynamically adjusts the interface based on the user's profile through authentication verification and sentiment analysis.

[0722] First, the user accesses a public terminal and enters their authentication information. The terminal provides this information to an external authentication system and, upon successful authentication, receives an authentication token. The hardware used in this process includes general computer terminals, while the software utilizes an external authentication platform.

[0723] After successful authentication, the device sends an authentication token to the server. The server retrieves the user's profile information from its database or external data sources. This profile information includes individual data such as the user's preferences and history.

[0724] The server uses a generative AI model to analyze profile information and generate user interface specifications. In this process, it provides the generative AI model with a prompt message: "Design an optimized UI based on this user's profile."

[0725] The generated specifications are sent to the terminal, which then dynamically reconfigures the user interface according to those specifications. This allows the user to begin operating with a individually tailored interface.

[0726] Furthermore, the device uses an emotion recognition mechanism to analyze the user's facial expressions and voice in real time. For example, if it detects that the user is stressed, the interface's color scheme may be changed or relaxation content may be suggested. This information is sent to a server and used to further refine the interface.

[0727] For example, when a user starts using a device, many notifications are displayed based on their profile information, but the emotion engine detects the user's frustration. The device then temporarily suppresses notifications and displays relaxation content. In this way, the user's experience becomes tailored to their emotional state.

[0728] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0729] Step 1:

[0730] The user accesses a public terminal and enters authentication information. This information includes a user ID and password. The terminal uses this information to send a request to an external authentication mechanism, and if authentication is successful, it receives an authentication token. Specifically, the terminal receives user input and accesses authentication middleware via a communication protocol. The token contains uniquely identifiable information as data items.

[0731] Step 2:

[0732] The terminal sends an authentication token to the server. The server accepts this token and retrieves the user's profile information from an external system or database. The output is profile data, including name, history, and configuration information. Specifically, the server verifies the validity of the token and executes a database query to retrieve the information.

[0733] Step 3:

[0734] The server applies a generated AI model based on the acquired profile information to create a user interface specification. It takes profile information as input and the interface specification as output. Specifically, the server provides the AI ​​engine with the prompt "Design an optimized UI based on this user's profile" and receives a design proposal.

[0735] Step 4:

[0736] The generated user interface specification is sent to the terminal. The terminal then reconstructs the UI based on this specification. The input is the interface specification, and the output is the specific UI configuration displayed on the user's screen. In terms of specific operation, the terminal parses the received data and rearranges the UI elements.

[0737] Step 5:

[0738] The device uses an emotion recognition mechanism to analyze the user's facial expressions and voice in real time. It uses the user's face and voice data as input and obtains their emotional state as output. Specifically, it processes data from the camera and microphone through an analysis algorithm to identify an emotion category.

[0739] Step 6:

[0740] Based on the results of the emotion analysis, the device adjusts the UI and, if necessary, suggests relaxing content. The input is emotion data, and the output is the modified UI and suggested content. Specifically, the interface's color scheme and displayed content change, and new widgets are added.

[0741] (Application Example 2)

[0742] 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".

[0743] Traditional user interfaces are uniform and lack the flexibility to respond to individual user emotions and profile information. Furthermore, in physical stores, providing personalized information to each customer is difficult. This makes it challenging to provide optimal information to customers and improve customer satisfaction.

[0744] 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.

[0745] In this invention, the server includes means for receiving user authentication information and obtaining the user's profile information via an external authentication system; means for dynamically generating user interface specifications based on the profile information; means for adjusting the user interface according to the generated specifications; means for analyzing the subject's emotions using an emotion engine and optimizing information display based on the analysis results; and means for providing information in the real world using a smart device. This enables personalized information provision according to the user's individual profile information and emotional state.

[0746] "Means for receiving user authentication information" refers to a mechanism that obtains data entered by a user when using a terminal or device, and verifies the user's legitimacy based on that data.

[0747] An "external authentication system" is a third-party service or network that can verify the authentication information of individual users and obtain profile information that users have registered in advance.

[0748] "Profile information" refers to personalized data such as user identification information, personal preferences, and past behavioral history.

[0749] "Means for dynamically generating user interface specifications" refers to a mechanism for creating user-optimized interfaces in real time based on acquired profile information.

[0750] "Means for adjusting the user interface according to the generated specifications" refers to a mechanism for adjusting and configuring displayed information and UI components based on the dynamically generated interface design.

[0751] An "emotion engine" is an algorithm or software that analyzes sensor data such as a user's facial expressions, voice tone, and gestures to infer the user's emotional state.

[0752] "A means of analyzing emotions and optimizing information display based on the analysis results" refers to the process of receiving the analysis results from the emotion engine and improving the information to be displayed and the interface layout to the most appropriate form accordingly.

[0753] "Means of providing information in real space using smart devices" refers to methods of providing dynamic information in a real environment using hardware equipped with a display and audio output functions.

[0754] In order to implement this invention, several key components must work together. First, the terminal used by the user must be equipped with sensor devices such as a camera and a microphone. These devices are used to acquire emotional information such as the user's facial expressions and tone of voice.

[0755] The terminal receives the authentication information entered by the user and sends it to an external authentication system. The authentication system retrieves the user's profile from this information and returns it to the server. Based on the received profile information, the server dynamically generates the user interface specifications using a generative AI model. These specifications are customized based on the user's preferences and past behavior.

[0756] Next, the server sends the generated specifications to the terminal, which then adjusts the user interface based on those specifications. Furthermore, an emotion engine on the terminal analyzes the user's emotions in real time and optimizes the information display based on the results.

[0757] For example, if the information displayed on a smart device is detected as causing stress to the user, the UI's color scheme will be changed to a calmer tone, and relaxing content will be recommended. Specifically, when a customer in a sports goods store picks up a pair of running shoes, the smart device can display reviews and follow-up promotional information related to those shoes. In this way, a personalized user experience is provided that reflects the user's emotions and preferences in real time.

[0758] The following prompt can be used for the generative AI model: "Provide detailed information and promotion for the product the user is holding, and customize additional information based on the emotions conveyed by their facial expressions and words."

[0759] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0760] Step 1:

[0761] The user enters authentication information into the device. The device sends this information to an external authentication system and receives profile information as a result of authentication. This profile information becomes the basic data for subsequent processing.

[0762] Step 2:

[0763] The device sends profile information obtained from the terminal to the server. The server receives this profile information as input and dynamically generates the user interface specifications using a generative AI model. The data processing here involves generating a UI design based on the user's preferences and history.

[0764] Step 3:

[0765] The server sends the generated user interface specification to the terminal. The terminal receives this specification, dynamically adjusts the UI, and displays it to the user. The output is a visual user interface that is personalized based on profile information.

[0766] Step 4:

[0767] The emotion engine analyzes the user's facial expressions and voice tone using the camera and microphone built into the device. The input is real-time captured audio and video data, and the user's emotional state obtained through analysis is output.

[0768] Step 5:

[0769] The device sends analysis results from the emotion engine to the server, which then generates instructions to optimize the information display. This further personalizes the user interface and content display.

[0770] Step 6:

[0771] Ultimately, the device readjusts the UI according to instructions received from the server and provides optimized information to the user. This process can improve the user experience by selecting and displaying appropriate information and content based on sentiment analysis results and profile information.

[0772] 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.

[0773] 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.

[0774] 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.

[0775] 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.

[0776] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0777] 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.

[0778] 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.

[0779] 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.

[0780] 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."

[0781] 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.

[0782] 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.

[0783] 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.

[0784] 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.

[0785] 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.

[0786] 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.

[0787] 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.

[0788] 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.

[0789] 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.

[0790] 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.

[0791] 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.

[0792] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0793] The following is further disclosed regarding the embodiments described above.

[0794] (Claim 1)

[0795] A means for receiving user authentication information and obtaining the user's profile information via an external authentication system,

[0796] A means for dynamically generating user interface specifications based on the profile information,

[0797] A system that includes means for adjusting the user interface according to the generated specifications.

[0798] (Claim 2)

[0799] A means for dynamically generating source code to implement a specific function based on the generated specifications,

[0800] The system according to claim 1, comprising means for distributing and implementing the source code to a terminal.

[0801] (Claim 3)

[0802] The system according to claim 1, further comprising means for obtaining profile information based on the user's consent.

[0803] "Example 1"

[0804] (Claim 1)

[0805] A means for receiving user authentication data and obtaining the user's profile data via an external authentication mechanism,

[0806] A means for dynamically designing user interface specifications using an AI model based on the profile data,

[0807] A means of adjusting the user interface based on the generated specifications and presenting customized information,

[0808] A means of generating code to implement specific functions in real time using a generative AI model as needed,

[0809] A means of sending the code to the terminal and immediately implementing the function,

[0810] A method for generating prompt messages that take into account the user's operation history and interests, and using this to optimize the user interface,

[0811] A system that includes this.

[0812] (Claim 2)

[0813] The system according to claim 1, which uses acquired profile data and operation history to prioritize displaying content related to the user's interests in order to provide a personalized user experience.

[0814] (Claim 3)

[0815] The system according to claim 1, which acquires profile data based on the user's consent and uses it to improve the accuracy of the generated AI model.

[0816] "Application Example 1"

[0817] (Claim 1)

[0818] A means for receiving user authentication information and obtaining the user's profile information via an external authentication system,

[0819] A means for dynamically generating user interface specifications based on the profile information,

[0820] A means of prioritizing the display of customized information and functions based on the said specifications,

[0821] Means for adjusting the user interface according to the generated specifications,

[0822] A system that includes this.

[0823] (Claim 2)

[0824] A means for dynamically generating source code to implement a specific function based on the generated specifications,

[0825] The system according to claim 1, comprising means for distributing and implementing the source code to a terminal.

[0826] (Claim 3)

[0827] The system according to claim 1, further comprising means for obtaining profile information based on the user's consent.

[0828] "Example 2 of combining an emotion engine"

[0829] (Claim 1)

[0830] A means for receiving user authentication information and obtaining user information of said user via an external authentication mechanism,

[0831] A means for dynamically generating the specifications of the user interface based on the user information,

[0832] Means for adjusting the user interface according to the generated specifications,

[0833] A means for analyzing a user's emotions using an emotion recognition mechanism and adjusting the user interface according to those emotions,

[0834] Using this information, we can develop means to personalize and ensure consistency in the user experience.

[0835] A system that includes this.

[0836] (Claim 2)

[0837] A means for dynamically generating control information to realize a specific function based on the generated specifications,

[0838] A means for distributing and implementing the control information to the terminal,

[0839] This process includes a generator AI model that uses prompt statements to generate the optimal interface.

[0840] The system according to claim 1.

[0841] (Claim 3)

[0842] A means of confirming user consent and obtaining user information,

[0843] The system further includes a means of sending emotion analysis results to a server and immediately reflecting adjustments to the user interface.

[0844] The system according to claim 1.

[0845] "Application example 2 when combining with an emotional engine"

[0846] (Claim 1)

[0847] A means for receiving user authentication information and obtaining the user's profile information via an external authentication system,

[0848] A means for dynamically generating user interface specifications based on the profile information,

[0849] Means for adjusting the user interface according to the generated specifications,

[0850] A means for analyzing the emotions of a subject using an emotion engine and optimizing the display of information based on the analysis results,

[0851] A means of providing information in the real world using smart devices,

[0852] A system that includes this.

[0853] (Claim 2)

[0854] A means for dynamically generating source code to implement a specific function based on the generated specifications,

[0855] The system according to claim 1, comprising means for distributing and implementing the source code to a terminal.

[0856] (Claim 3)

[0857] The system according to claim 1, further comprising means for obtaining profile information based on the user's consent. [Explanation of Symbols]

[0858] 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 receiving user authentication information and obtaining the user's profile information via an external authentication system, A means for dynamically generating user interface specifications based on the profile information, A system that includes means for adjusting the user interface according to the generated specifications.

2. A means for dynamically generating source code to implement a specific function based on the generated specifications, The system according to claim 1, comprising means for distributing and implementing the source code to a terminal.

3. The system according to claim 1, further comprising means for obtaining profile information based on the user's consent.

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