100 results about "Dynamic user interface" patented technology

Dynamic user interfaces for storage system management using generative artificial intelligence (AI), including: receiving a natural language request via a natural language interface of a graphical user interface (GUI) for a storage system; generating, by a generative AI model and based on the natural language request, one or more GUI components for presenting information associated with the natural language request; and presenting, via the GUI for the storage system, the one or more GUI components.

The invention relates to the technical field of software test automation, in particular to a self-repairing UI automatic detection method based on multi-modal fusion, which mainly comprises the following steps: extracting visual features to obtain feature vectors, and constructing a virtual DOM tree with semantic tags to carry out similarity calculation to obtain structural similarity; and carrying out weight dynamic adjustment on the feature vector and the structural similarity through a feature fusion decision maker, outputting a fusion weight proportion under a current confidence threshold, fusing the feature vector and the structural similarity through the weight proportion to form a decision combination, and generating a new locator. Through the method, the problem of test case vulnerability caused by a dynamic user interface is solved, the detection speed of real-time sensing of interface change is improved, and meanwhile, the positioning success rate during use of a new positioner automatically generated by a positioning strategy is also remarkably improved.

The invention discloses a wearable immersive multi-modal feedback man-machine interaction system and method, and relates to the technical field of man-machine interaction, the system comprises a sensing module, a physiological monitoring and health management module, a processing module, a feedback module and a user interface module, multiple sensing devices are integrated on a flexible material to form a multi-modal sensor; according to the wearable immersive multi-modal feedback man-machine interaction system and method, by arranging the system and integrating various sensing modules, physiological monitoring and health management, processing and recognition modules and rich feedback mechanisms, highly intelligent and personalized man-machine interaction is achieved through the system; the system can accurately capture the intention and behavior of a user, can monitor the health state in real time and provide timely feedback, and guarantees the instantaneity and high efficiency of data processing in combination with edge calculation and cloud processing. And due to an omnibearing and immersive feedback mechanism and a dynamic user interface, the user experience is greatly improved.

There are provided systems and methods for dynamic user interfaces and content with reduced code development using an intelligent scenario simulation engine. A service provider, such as an online transaction processor, may provide computing services to users, such as electronic transaction processing, which may be facilitated and / or assisted by agents of the service provider. To provide dynamic user interfaces and content tailored to a user experience and based on different simulated scenarios of the user experience, the service provider may utilize a simulation engine to simulate permutations of user interfaces and content from combinations of the user and / or agents data and service states of available services that may be accessed and used through the user interfaces. This may utilize a large language model and / or generative AI to simulate such scenarios, as well as computing code for the user interfaces and calls to provide content via the services.

The invention relates to the technical field of monitoring and data acquisition systems, and discloses an SCADA (supervisory control and data acquisition) system based on a large language model, an implementation method and equipment, and the system comprises a user interaction terminal which receives a natural language instruction input by a user and displays a dynamic user interface; the natural language processing module is used for preliminarily analyzing the natural language instruction to obtain a user intention and key information; the large language model is used for deeply analyzing the user intention and the key information and generating a task description or a task execution plan; the MCP arrangement engine is used for mapping the task description or the task execution plan to a predefined function to obtain executable structured data; and the dynamic UI generator is used for generating a dynamic user interface based on the executable structured data and a preset UI instruction. According to the method, the usability and the data analysis capability of the SCADA system are improved through natural language interaction, and meanwhile, the reliability and the safety of the system are ensured by utilizing an MCP and a predefined function mechanism.

The invention relates to the technical field of interactive electronic manual, in particular to an electronic manual development system and method for optical image measurement equipment, and the system comprises an optical equipment setting subsystem, an interactive information arrangement subsystem, an NLP processing subsystem and a three-dimensional model subsystem. The NLP processing subsystem analyzes and understands a knowledge base sorted by the interaction information sorting subsystem and an input query operation statement by using an NLP model, so that the system has the functions of a question-answering system, an intelligent customer service and a search engine, and an operator can conveniently and directly use a natural language to carry out system use, document management, maintenance detection and fault query; the three-dimensional model subsystem builds a three-dimensional model according to the parameters of the optical image acquisition equipment, and cooperates with the interaction information sorting subsystem providing a dynamic user interface, so that the system integrates elements such as dynamic demonstration and interaction, the readability and practicability of information are improved, the use time and the use cost are saved, and the system is suitable for popularization and application. And meanwhile, the document checking quality is improved.

An example operation may include one or more of communicating with a service provider via a head unit of a vehicle, capturing sensor data from an interior of the vehicle during an interaction between the service provider and an occupant within the vehicle, determining a location of the occupant within the vehicle based on the sensor data captured from the interior of the vehicle, and displaying data related to the interaction between the service provider and the occupant on a user interface from among a plurality of available user interfaces within the vehicle based on the location of the occupant within the vehicle. An artificial intelligence (AI) model can be trained and / or executed when performing at least one portion of the example operation.

The invention provides a user interface updating method and device, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining a target domain specific language which indicates the characteristics of a target user interface; converting the target domain specific language into a user interface model; and calling a server interface to send the user interface model to a target client, so that the target client performs user interface updating through the user interface model. The dynamic user interface is realized by converting the target domain specific language into the target interface model, so that updating does not need to be performed depending on an installation package, and meanwhile, the user interface model is sent to the target client by calling the server interface; therefore, pushing of user interface updating can be efficiently achieved on the basis that packaging is not needed, and waste of resources is reduced.

Systems, computer-implemented methods, applications, and user interfaces for defining custom user interfaces in a system of record are disclosed. For example, a computer-implemented method may include: providing one or more first interfaces for defining one or more custom objects; receiving, via the one or more first interfaces, at least one custom object definition comprising one or more data fields; automatically generating, based on the at least one custom object definition, one or more second interfaces for configuring one or more graphical user interfaces; receiving, via the one or more second interfaces, at least one graphical user interface configuration defining a layout for a graphical user interface associated with the at least one custom object definition; generating, based on the graphical user interface configuration, at least one third interface comprising a graphical user interface having the layout; and providing, to one or more users, the at least one third interface.

A system for dynamic user interface interactions comprising a computing device configured to receive behavior data, generate one or more educational modules and a selectable event graphic, configure a first remote device to display an event handler graphic corresponding to a data-reception event handler, receive from the first remote device a plurality of interactive data generated by at least the data-reception event handler, configure the first remote device to generate a graphical view, wherein the graphical view includes at least a display element generated as a function of the one or more educational modules and the selectable event graphic corresponding to a selectable event handler, wherein the selectable event handler is configured to receive interaction of the selectable event graphic and trigger an event action based on a comparison.

In an example embodiment, a solution is provided that introduces a dynamic user interface that automatically identifies payment methods available for a transaction. The dynamic user interface also may optionally present the available payment methods in an ordering, as determined by a machine learning model. More particularly, a payment processing system may determine a payment intents object, with all available payment methods for a transaction and optionally an ordering for those payment methods.

A method for providing an intelligent end-to-end platform to facilitate dynamic user interface configuration is disclosed. The method includes automatically generating core layouts based on a predetermined platform structure, each of the core layouts corresponding to an executable microapp; persisting the core layouts in a core repository; displaying, via a graphical user interface, a graphical element that is configured to receive inputs; receiving, via the graphical user interface, a request to generate a user interface, the request including a selection of a rule, a business logic, and a service; identifying, based on the request, a matching core layout from the core layouts in the core repository; and automatically generating the user interface by using the matching core layout and the request.

Approaches disclosed herein relate to dynamically determining and assigning user interface (UI) interaction modes across multiple multimodal devices based on real-time detection of input methods and screen sizes. Input methods are detected using web APIs. A screen size is determined using CSS pixel measurements and monitored for changes. CSS media queries are used to detect the effective resolution of the device's display. By applying breakpoints defined in CSS, the screen size can be categorized into predefined groups. The device state may be continuously monitored in real-time to identify any modifications, such as connecting or disconnecting input devices. Events triggered by these changes may be captured using the web APIs and event listeners. Such a system can listen for events like connecting or disconnecting devices to dynamically reassign the interaction mode. Such reassignment can be guided by an algorithm that prioritizes input methods based on the device's screen size and context.

Embodiments herein disclose a method of dynamically generating at least one widget / UI using an AI model for determining a user intent / context based on user input of speech or text, and identifying one or more associated devices with control / capabilities of the one or more associated devices that may be provided to the user to interact therewith. Embodiments herein disclose correlating user input with device information, and personalizing an AI model with user interaction, location, device information, which will be used to generate at least one widget / UI that is desired.

Data Processing Device for Dynamic User Interface Supporting AI-Powered Search and Indexing in E-commerce

Systems and methods provide for integrating legacy systems into a unified platform. Embodiments include a system configured to ingest, normalize, and store data from multiple sources using a data layer, analyze and transform data using AI algorithms by a processing layer, and provide a dynamic user interface for data visualization and interaction by a presentation layer. Methods are provided for receiving, by a computing device, data such as email orders, vendor catalogs, CRM data, etc., extracting data from the content, processing the data using natural language processing techniques, analyzing the data using machine learning models, mapping the data to a unified platform's schema, managing the integration workflow using a workflow orchestration engine, providing real-time data insights, and resolving data errors or anomalies using an exception management system.

A computing system includes a processing circuit to receive a URL associated with a web page and a category type of a third party system; parse the web page to extract an audio or visual content item; determine the category type matches a category of a plurality of categories stored in a database; retrieve, from the database, at least one image or video associated with the category; receive a selection of a graphical representation of the third party system on a first graphical user interface (GUI) rendered by a user device; generate a second GUI including at least the extracted content item and the at least one image or video retrieved from the database; and transmit data corresponding to the second GUI for rendering on the user device.

Disclosed are systems and methods for dynamic user interfaces for authentication. A user interface comprising a plurality of user interface elements can be generated. The plurality of user interface elements can be generated according to a random placement. The each plurality of user interface elements can comprise a random plurality of attribute values.

A method includes, at a computer system with a display, a housing, and an attachment mechanism, detecting attachment of an accessory to the computer system, where the accessory, while attached, has a predetermined orientation relative to the attachment mechanism, and in response to detecting the attachment of the accessory to the computer system in accordance with a determination that the accessory is a first accessory with first physical dimensions, displaying, on the display, a first visual indication that the accessory has been attached to the computer system, wherein the first visual indication indicates at least one property of the first physical dimensions, and in accordance with a determination that the accessory is a second accessory with second physical dimensions that are different from the first physical dimensions, displaying, on the display a second visual indication that the accessory has been attached to the computer system, wherein the second visual indication indicates at least one property of the second physical dimensions and the second visual indication is different from the first visual indication.

The present invention discloses an illegal Android application detection method based on a user interface conversion graph and an electronic device, comprising: dynamically analyzing an Android application to be detected to obtain a dynamic user interface conversion graph; statically analyzing the Android application to be detected to obtain a static user interface conversion graph and metadata of the Android application to be detected; establishing a mapping between the static user interface conversion graph and the dynamic user interface conversion graph, aligning and fusing the static user interface conversion graph and the dynamic user interface conversion graph to obtain a hybrid user interface conversion graph; performing link prediction on the hybrid user interface conversion graph to update the user interface conversion graph; inputting the metadata of the Android application to be detected into an encoder for encoding, splicing the metadata feature vector obtained by encoding and the updated user interface conversion graph to obtain a hybrid feature graph; inputting the hybrid feature graph into a graph neural network for label prediction to obtain a category corresponding to the Android application to be detected.

A system may include an electronic device that includes an enclosure having a transparent cover. The electronic device may also include a display positioned below the transparent cover and configured to display a first graphical user interface and a second graphical user interface different from the first graphical user interface, and a touch sensor positioned below the transparent cover and configured to detect touch inputs applied to the transparent cover. The system may also include a protective case that includes a shell defining a cavity and configured to at least partially cover the enclosure of the electronic device when the electronic device is positioned in the cavity, and a near-field wireless communication antenna coupled to the shell and detectable by the electronic device. In response to detecting the near-field wireless communication antenna, the electronic device may be configured to switch from the first graphical user interface to the second graphical user interface.

A unified platform may comprise a combination of independent frameworks that have been integrated and configured to collaboratively operate seamlessly. In some aspects, the unified platform may comprise one or more of an authentication and authorization framework, a dynamic user interface framework, a workflow state management framework, a notification and active data loss and prevention (DLP) engine framework, and an orchestration engine framework. Each of the frameworks included in the unified platform may comprise one or more of the plurality of computing devices executing computer-readable program instructions.

The present application relates to the technical field of software test automation, in particular to a self-repairing UI automatic detection method based on multi-modal fusion, mainly including visual feature extraction to obtain a feature vector, and constructing a virtual DOM tree with semantic labels to perform similarity calculation to obtain a structural similarity; a feature fusion decision maker is used to dynamically adjust the weights of the feature vector and the structural similarity, output a fusion weight ratio under a current confidence threshold, and form a decision combination by fusing the feature vector and the structural similarity according to the weight ratio to generate a new locator. Through the above method, the test case vulnerability problem caused by the dynamic user interface is solved, the detection speed of real-time perception of interface changes is improved, and the success rate of positioning in use is also significantly improved.

A computer-implemented method including associating, at a resource having a plurality of task elements, a task element manifest with each task element from the plurality of task elements, thereby creating a resource map, receiving a request to complete a task; providing the request to complete the task and at least a portion of the resource map to a Large Language Model (LLM); and obtaining, from the LLM, a dynamic user interface to complete the task.

A wearable device and method for operating the wearable device in a controlled environment customizes a dynamic user interface on the wearable device to display or prevent the display of applications on the wearable device based at least in part on a determined location of the wearable device within the controlled environment. The dynamic user interface can include a physical or virtual keyboard. The wearable device is lockable such that it may only be removed when in a location where removal is permissible after expiration of a locking timer or receive of an unlocking administrative command. The wearable device can also monitor information regarding at least one of the inmate of the wearable device, such as biometric information, and the physical environment in which the wearable device is located, such as ambient audio and / or video.

One embodiment sets forth a technique for generating prompts for generative artificial intelligence (AI) models. According to some embodiments, the technique can include the steps of receiving an initial prompt comprising natural language; generating a plurality of parameterized prompt attributes based on the initial prompt; generating a plurality of UI elements based on the parameterized prompt attributes; receiving user input modifying one or more of the UI elements; and generating an updated prompt based on the initial prompt and the user input.

Systems and methods for intrusion protected user interfaces and functions in a vehicle using an embedded controller. An exemplary system includes an embedded controller configured to receive touch input information from a display, the touch input information reflecting an interaction with the display by a person in the vehicle, and an infotainment system configured to communicate with and receive touch input information from the embedded controller, the infotainment system configured to render a dynamic user interface for presentation via the display, the embedded controller configured to cause the presentation of a static image reflecting a currently selected gear of the vehicle, and the embedded controller providing information related to the static image to a timing controller of the display.

A computer system includes memory hardware configured to store instructions and a database, and processor hardware configured to execute the instructions. The instructions include receiving input from a user. The instructions include querying the database to: obtain a label text associated with a specified national drug code (NDC), obtain a field associated with the label text, and obtain a set of field options associated with the field. The instructions include building a data structure including the label text, the field, and the set of field options. The instructions include converting the data structure to a dynamic web interface for displaying the label text, the field, and the set of field options. The instructions include receiving a user selection of a field option of the set of field options, updating the field to reflect the user selection, and generating a label by printing the label text including the updated field.

A virtual environment is provided that dynamically adapts user interface (UI) elements presented / displayed within the virtual environment based on a user profile of a user navigating the virtual environment. A user profile associated with a user includes a set of UI elements that the user is authorized to view / access and / or is relevant to the user. As the user navigates the virtual environment, a processor renders only those UI elements for display to a user device of the user that are associated with the user profile of the user and does not render UI elements that are not associated with the user profile of the user.

The present technology relates to methods and systems for streamlining the process of diagnostic imaging; in particular, that introduce parallel, rather than sequential, reading, accomplished by generative artificial intelligence (A.I) including large language models (LLMs). The methods and systems herein can also include additional features, such as a dynamic user interface, facilitation of real-time editing, text formatting, gamification elements or features, and an interoperability module that is configured to adopt a variety of healthcare standards. The technology constitutes a significant overhaul on traditional radiology and healthcare workflow processes.