27 results about "Adaptive user interface" patented technology

A computer-implemented system for automated document generation receives user input and processes it through artificial intelligence models to create professional documents. The system combines user-provided information with specialized knowledge databases containing domain-specific requirements and formatting standards to generate enhanced processing instructions. Trained machine learning models process these instructions to produce contextually appropriate content that addresses specific technical and legal requirements. The generated content is formatted using configurable templates to create completed documents that meet professional standards. The system provides adaptive user interfaces that adjust functionality based on user expertise levels, supports multiple operational modes including guided and automated generation, learns from example documents to improve output quality, and enables comprehensive workflow management through network-accessible services. Applications include patent applications, legal responses, technical documentation, and other specialized professional documents requiring domain expertise and regulatory compliance.

In accordance with the present disclosure, one or more computing devices and / or methods are provided. In an example, an emotional state of a user may be determined based upon one or more signals generated by one or more sensors and / or user activity of the user. A communication interface may be controlled based upon the emotional state.

A system may support adaptive user interfaces (UIs) for computer-aided technology (CAx) applications. The system may include a CAx tracking engine configured to track command usage of a computer-aided technology (CAx) application to obtain command usage data for the CAx application and a CAx training engine configured to train a machine learning model with the command usage data. The system may also include a CAx adaptive UI engine configured to obtain real-time command usage by a user of the CAx application; and apply the machine learning model to adaptively transform a UI of the CAx application, including by inputting the real-time command usage of the CAx application to the machine learning model to determine a predicted command based on the real-time command usage and dynamically updating a selected sub-section of the UI of the CAx application to present the predicted command to the user.

An innovative system for integrating generative artificial intelligence (AI) capabilities within Software as a Service (SaaS) platforms. By leveraging advanced AI techniques, seamless data synchronization, intelligent task management, and predictive workflow optimization across multiple SaaS platforms are described. Key components include an AI-driven data synchronization system, an intelligent cross-platform task manager, and an adaptive user interface.

In accordance with the present disclosure, one or more computing devices and / or methods are provided. In an example, an emotional state of a user may be determined based upon one or more signals generated by one or more sensors and / or user activity of the user. A communication interface may be controlled based upon the emotional state.

The invention relates to the technical field of intelligent parking, in particular to an unattended vehicle parking method, which comprises the steps of deploying a distributed sensor network to collect environment information, preprocessing data by utilizing an edge computing node, constructing a dynamic parking decision model, optimizing interactive experience through a self-adaptive user interface, and realizing intelligent parking. And a redundant communication link and a fault switching mechanism are introduced to enhance the reliability of the system. The method can significantly improve the adaptability to complex scenes, reduces the operation difficulty of a vehicle owner, guarantees the stable operation of the system in severe weather or a high-density traffic flow scene, and meets the efficient intelligent parking demands of modern cities.

A rendering event is detected during a rendering cycle of a user interface (UI) being rendered on a device. In response to the detection, monitoring is initiated of a data structure containing a set of elements of the UI. From the monitoring, an element in the set of elements is detected to include a violation of an accessibility requirement. A classification of the violation is generated, which includes one or more from a set including a type, a severity, and a priority of the violation. A remedy corresponding to the violation and the classification is selected and a modification of data of the element in the data structure in a memory of the device is performed in real time during the rendering cycle to form a corrected element, correcting the violation of the element. The UI is rendered with the corrected element during the rendering cycle.

A cross-platform service engages and connects influencers and consumers by facilitating content generation in connection with electronic-commerce platform. An influencer / content generator facing portal presents a set of tools to enable influencers to create content for use on the e-commerce side and to facilitate transactions related to influencer compensation. A consumer facing portal presents adaptive user interfaces to engage remotely connected consumers by presenting influencer-generated “looks” and tools to selectively navigate and select / deselect presented looks and explore look and products and ultimately to handle transactions for purchasing of products.

According to one embodiment, a method, computer system, and computer program product for adaptive user interface amelioration during a screen sharing session is provided. The embodiment may include receiving shared content during a screen sharing session. The embodiment may also include identifying one or more device characteristics for a user device associated with a user and one or more user profile characteristics for the user. The embodiment may further include extracting topical elements within the received shared content. The embodiment may also include identifying a location of one or more objects and / or one or more text elements in the shared content. The embodiment may further include modifying a viewing area of the shared content on a display screen of the user device.

According to one aspect of an exemplary embodiment of the disclosure, a system and method for adaptively altering the presentation color for an overlay to be presented along with a camera image on a display of a radiography system includes the steps of providing an imaging system having a radiation source, a detector, and a camera aligned with the detector. A control processing unit including image processing circuitry is operably connected to the camera to generate a camera image(s) of the subject and the detector. The camera image analyzed by the image processing circuitry to determine the region of interest (ROI) within the camera image and the dominant color(s) present in the ROI, such that presentation color for the overlay can be automatically adjusted to a complementary color for monochromatic camera images or to a high contrast color for chromatic camera images to increase the visibility of the overlay.

A computer-implemented method is provided for dynamically altering a user interface (UI) display by a computer-implemented method for altering a computer monitor display without recompilation of code. The method includes developing the UI display in FXML syntax that creates an FXML file. Data for display are mapped to particular fields in the UI display, within the FXML file. A JAVA Archive (JAR) file with the FXML file is deployed to a client device. The JAR file is executed with the FXML file to produce the UI display on the client device. The displays on the UI display are populated as defined by the FXML file.

The present invention provides a method and system for dynamically adjusting an adaptive user interface, which relates to the technical field of user interface design. The method includes extracting the RGB color values of the foreground and background of each element from the user interface, and converting the RGB color values of the foreground and background into corresponding HSV color values respectively; calculating the contrast ratio of the corresponding element based on the RGB color values and HSV color values, and determining whether the contrast ratio of the element meets a preset standard value; when the contrast ratio of the element does not meet the preset standard value, formulating a color adjustment strategy based on the contrast ratio of the corresponding element; in the color adjustment direction, gradually adjusting the RGB color values of the corresponding element according to the number of color adjustment times until the RGB color values gradually transition to the target color. The present invention can accurately evaluate the current contrast of interface elements, and automatically formulate and execute a color adjustment strategy when the contrast does not meet the preset standard.

An innovative system for integrating generative artificial intelligence (AI) capabilities within Software as a Service (SaaS) platforms. By leveraging advanced AI techniques, seamless data synchronization, intelligent task management, and predictive workflow optimization across multiple SaaS platforms are described. Key components include an AI-driven data synchronization system, an intelligent cross-platform task manager, and an adaptive user interface. The system also features a cross-departmental health monitoring and notification mechanism, alongside an intent-based interaction system. This solution enhances organizational efficiency, improves decision-making, and provides unprecedented levels of automation and insight in managing complex SaaS ecosystems.

The invention relates to an AI-based multi-dimensional constraint adaptive user interface layout method and device, and the method comprises the steps: collecting equipment performance data and user behavior data of a user terminal; inputting the user behavior data into a pre-trained lightweight deep learning model, and predicting a next operation intention and a high-frequency operation area of the user; inputting equipment performance monitoring data and the high-frequency operation area into a preset multi-dimensional real-time constraint model to solve a balanced optimal solution among different constraints, and obtaining an optimal user interface layout strategy meeting a preset system operation fluency threshold value; calculating complexity quantitative indexes of interface elements according to the optimal user interface layout strategy; and dynamically adjusting rendering parameters and a layout structure of the user interface according to the complexity quantitative indexes of the interface elements. By adopting the method and the device, the dynamic adjustment process of the user interface layout can be smoother.

The invention provides an adaptive user interface dynamic rendering method and device, equipment, a medium and a product, and relates to the technical field of interactive design, and the method comprises the following steps: obtaining source data aiming at a current user interface on a browser; symbolizing the user interaction data to obtain symbolized interaction data, and converting the natural language information into an original feature vector; performing interface change prediction according to the original feature vector to obtain a prediction vector; verifying the prediction vector according to the symbolized interaction data; a large model layer in a preset neural symbol renderer is adopted, interface change information is generated according to the prediction vector, and the interface change information at least comprises an interface change rule set; and according to the interface adjustment rule set, performing interface rendering by adopting a preset rendering engine to obtain an updated user interface. According to the method, the intelligence, transparency and credibility of self-adaptive adjustment of the user interface are improved.

At least one processor may receive data indicating a sequence of actions. The at least one processor may generate a unified embedding from the sequence of actions, wherein the unified embedding can encode respective embeddings of the respective actions encapsulating action characteristics and sequential positions and respective importance scores of the respective actions. The at least one processor may process the unified embedding with a trained machine learning model to thereby predict a next likely action. The at least one processor can configure a user interface or other computer element to perform and / or enable the next likely action in response to the predicting.

The present invention belongs to the technical field of interface recommendation, and provides an adaptive user interface recommendation method and system based on foot interaction. By using the foot length difference of users, the sizes of elements in the interaction interface are designed; the theme style and element shape in the interaction interface are recommended by using the deep learning field perception decomposition machine method; at the same time, an interface library with different layouts is constructed by using interface design rules, and the element layout in the interaction interface is recommended by using the reinforcement learning multi-armed bandit UCB1 algorithm. Through the personalized design of elements and layouts in the interaction interface, the possible misoperations that may occur during user movement are reduced or avoided, the accuracy of the user's natural interaction with the interface using the foot is improved, the efficiency of human-computer interaction is increased, and the user's needs are realized.

An audio system (1) comprising an audio device (10) and a charging cradle (20) for storing the audio device (10). The charging cradle (20) comprises a cradle housing (200) with a device bay (201), a status detector (202), a cradle input interface (203), a rechargeable battery (204), and a cradle controller (205). The device bay (201) is configured to accommodate the audio device (10) when the audio device (10) is stored in the charging cradle (20). The status detector (202) is configured to detect whether the audio device (10) is stored in the charging cradle (20), determine a corresponding storing status, and provide the determined storing status in a cradle status signal (CS) to the cradle controller (205). The cradle input interface (203) is configured to detect user input actions and provide indications of detected user input actions in a cradle input signal (UC) to the cradle controller (205). The rechargeable battery (204) is configured to receive electric energy from an external energy source, store the received electrical energy, and provide stored electric energy (P) to the audio device (10) through the cradle controller (205) and / or the device bay (201). In the audio system (1), the cradle controller (205) is configured to provide a user output signal (UO) comprising an indication of control commands in response to receiving indications of detected user input actions in the cradle input signal (UC) and / or in dependence on the cradle status signal (CS), such that, for identical indicated user input actions, the control command indication in the user output signal (UO) differs for different storing status indications in the cradle status signal (CS). This enables using the controls of the cradle input interface (203) for different purposes, depending on whether the audio device (10) is stored in the charging cradle (20), and may thereby reduce the number of user controls required on the audio device (10) and / or the charging cradle (20).

A cross-platform service engages and connects influencers and consumers by facilitating content generation in connection with electronic-commerce platform. An influencer / content generator facing portal presents a set of tools to enable influencers to create content for use on the e-commerce side and to facilitate transactions related to influencer compensation. A consumer facing portal presents adaptive user interfaces to engage remotely connected consumers by presenting influencer-generated “looks” and tools to selectively navigate and select / deselect presented looks and explore look and products and ultimately to handle transactions for purchasing of products.

One or more embodiments provide a method of providing an adaptive user interface in an electronic device. The method includes identifying, by the electronic device, a user functional element (UFE) in an application of the electronic device. The method further includes determining, by the electronic device, a trigger span for the UFE, and initiating, by the electronic device, a trigger in response to determining that the trigger span for the UFE is expired. The method further includes determining, by the electronic device, a probability of use of the UFE for which the trigger is initiated. The method further includes determining, by the electronic device, that the probability of the use of the UFE is less than a threshold probability. The method further includes updating, by the electronic device, the adaptive user interface associated with the UFE the based on the probability.

An audio system (1) with an adaptive user interface includes an audio device (10) and a charging case (20) for storing the audio device (10). The charging case (20) includes a case housing (200) having a device compartment (201), a status detector (202), a case input interface (203), a rechargeable battery (204), and a case controller (205). The device compartment (201) is configured to accommodate the audio device (10) when it is stored in the charging case (20). The status detector (202) is configured to detect whether the audio device (10) is stored in the charging case (20), determine the corresponding storage state, and provide the determined storage state to the case controller (205) in a case status signal (CS). The case input interface (203) is configured to detect user input actions and provide an indication of the detected user input actions to the case controller (205) in a case input signal (UC).

A method for providing information to a vehicle occupant may involve determining one or more inputs using one or more vehicle sensors. The method may further involve determining a layout of each of a multitude of user interface (UI) elements of an infotainment system, at least partially, based on the one or more inputs. The method may also involve providing information to the vehicle occupant by displaying the multitude of UI elements on the infotainment system, at least partially, based on the layout of each of the multitude of UI elements.

An audio system comprising an audio device and a charging cradle for storing the audio device. The charging cradle comprises a cradle housing with a device bay, a status detector, a cradle input interface, a rechargeable battery, and a cradle controller.The device bay is configured to accommodate the audio device when the audio device is stored in the charging cradle.The status detector is configured to detect whether the audio device is stored in the charging cradle, determine a corresponding storing status, and provide the determined storing status in a cradle status signal to the cradle controller.The cradle input interface is configured to detect user input actions and provide indications of detected user input actions in a cradle input signal to the cradle controller.The rechargeable battery is configured to receive electric energy from an external energy source, store the received electrical energy, and provide stored electric energy to the audio device through the cradle controller and / or the device bay.In the audio system, the cradle controller is configured to provide a user output signal comprising an indication of control commands in response to receiving indications of detected user input actions in the cradle input signal and in dependence on the cradle status signal.This enables using the controls of the cradle input interface for different purposes, depending on whether the audio device is stored in the charging cradle, and may thereby reduce the number of user controls required on the audio device and / or the charging cradle.

According to one embodiment, a method, computer system, and computer program product for adaptive user interface amelioration during a screen sharing session is provided. The embodiment may include receiving shared content during a screen sharing session. The embodiment may also include identifying one or more device characteristics for a user device associated with a user and one or more user profile characteristics for the user. The embodiment may further include extracting topical elements within the received shared content. The embodiment may also include identifying a location of one or more objects and / or one or more text elements in the shared content. The embodiment may further include modifying a viewing area of the shared content on a display screen of the user device.

A controllable device, such as a set top box, responds to a transmission received from a one of a plurality of controlling devices of differing capabilities by entering into a one of a plurality of operating modes wherein the one of the plurality of operating modes entered into corresponds to the capabilities of the controlling device from which the transmission originated.

An innovative system for integrating generative artificial intelligence (AI) capabilities within Software as a Service (SaaS) platforms. By leveraging advanced AI techniques, seamless data synchronization, intelligent task management, and predictive workflow optimization across multiple SaaS platforms are described. Key components include an AI-driven data synchronization system, an intelligent cross-platform task manager, and an adaptive user interface. The system also features a cross-departmental health monitoring and notification mechanism, alongside an intent-based interaction system. This solution enhances organizational efficiency, improves decision-making, and provides unprecedented levels of automation and insight in managing complex SaaS ecosystems.