84 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 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.

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.

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.

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.

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.

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.

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.

A computing system includes a processing circuit configured to: receive information associated with a web page and a category type of a third party system; extract a 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, the at least one image or video to reflect a difference between a first value and a second value associated with the third party system; and, transmit data corresponding to the second GUI for rendering on the user device.

The present disclosure relates to providing a dynamic graphical user interface for efficiently presenting users with relevant ride information throughout the fulfilment of a ride request. In some embodiments, the system detects a trigger event during a ride, and based on detecting the trigger event, the system expands or collapses an information portion within a graphical user interface. When in a collapsed state, for example, the information portion of the graphical user interfaces includes a first set of content. Upon detecting a trigger event, the system dynamically expands the information portion to provide a second set of content that includes information associated with the detected trigger.

1. The name of the design product: the main body of the thumbnail preview dynamic graphical user interface of electronic equipment. 2. The use of the design product: electronic equipment. 3. The design points of the design product: the part of the graphical user interface claimed. 4. The picture or photo that best indicates the design points: change state figure 3. 5. The use of the graphical user interface: the interface as a whole is used to preview thumbnails in the display space of electronic equipment (such as XR equipment), and the main part of the interface claimed shows the change process of the user selecting the thumbnail being previewed. The front view shows that the user is browsing multiple thumbnails in the display area of the electronic equipment, and when the user selects the rightmost thumbnail for preview, the interface changes in the order of change state figure 1 to change state figure 3, first the selected thumbnail is marked with a double frame, then the picture is enlarged in size and displayed in the middle of the interface with a light color, while the other unselected thumbnails fade in color, and finally the enlarged thumbnail is displayed in the middle of the interface in a clear manner for the user to view. 6. Other circumstances that need to be explained: the dashed part in the figure is not claimed.

Systems and methods for creating and operating a seller agent user interface relating to transactions (e.g., real estate or other transactions) and / or other information from engagement platforms and other applications. Robust system infrastructure, dynamic user interfaces, transactional workflow visualization, interactive and responsive elements, and market insight integration are used to facilitate transactions, and which can be used by human and / or artificial intelligence agents to enhance the particular application.

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

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.

A computing device comprises a communications module; a processor coupled with the communications module; and a memory coupled to the processor and storing processor-executable instructions which, when executed by the processor, configure the processor to initiate an automated teller machine session; engage an artificial intelligence engine to determine at least one dynamic user interface to be presented during the automated teller machine session; and present the at least one dynamic user interface on a display of an automated teller machine.

The invention provides a task state supervision system and method for low-altitude airspace flight activities, and the system comprises an instruction issuing module which is used for obtaining a user front-end input and packaging the user front-end input into a standard instruction message; the Kafka message queue module is used for receiving and storing standard instruction messages and instruction messages and state messages from a back end and external equipment; the state machine module is used for subscribing all instruction type messages in real time, judging the flight task based on the instruction type messages and selecting whether to update the flight task state or not according to a judgment result; the WebSocket service module is used for receiving the state flow notice from the state machine module and pushing the state flow notice to the front-end display module in real time; and the front-end display module is used for dynamically updating the front-end visual page in real time according to the state transfer notification. The system is suitable for task approval, flight state change management, airspace instruction synchronization, user interface dynamic display and other core business scenes in low-altitude flight activities.