Abstract: Described are computer-based methods and apparatuses, including computer program products, for dynamic user interface customization. A set of functions for a user interface is stored, each function comprising a function that can be added to the user interface. A first set of data is transmitted to a remote device that causes the user interface to be displayed on the remote device with a predetermined set of functions from the set of functions. Interaction data is received indicative of a user's interactions with the user interface. A second set of data is transmitted to the remote device that causes the user interface to dynamically add a new function from the set of functions to the user interface based on the interaction data, wherein the new function is displayed as a selectable item in the user interface that the user can select to use a function associated with the new function.

Abstract: A local perspective method and device of a virtual reality equipment and a virtual reality equipment are disclosed. The method comprises: identifying a user's hand action; triggering a local perspective function of the virtual reality equipment if the user's hand action satisfies a preset trigger action; and under the local perspective function, determining a local perspective display area in a virtual scene according to a position of the user's hand action, so as to display a real scene in the local perspective display area. The local perspective method of the virtual reality equipment according to the present disclosure can determine the range of the area to be perspectively displayed by using the user's hand action. Compared with the conventional global perspective solution, it can be applicable to more and richer application scenarios, and can greatly improve the user's use experience.

Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.

Abstract: One or more computing devices, systems, and/or methods for controlling an output device are provided. For example, features are extracted from data points of an object. A set of data points are identified from the data points based upon the set of data points having features corresponding to target features. Marker elements are assigned to the set of data points. A mapping structure is used to assign output indicators to the marker elements. The output device is controlled to provide output indicators assigned to marker elements as the marker elements become a current focus of the user navigation.

Abstract: A technique for controlling a human machine interface is provided. A first task includes outputting a predefined criterion applicable to each of a plurality of physical objects. Each object is associated with a category within a group of at least pairwise disjoint categories with the criterion fulfilled for each object in a first category and not fulfilled for each object in a second category. Controlling the HMI for the first task includes repeatedly performing the steps of rendering an object; monitoring the HMI for an input during a predefined first time period after the rendering of the object; and updating a first metric indicative of a performance measurement in the first task. The method further comprises rendering a plurality of receptacles each enclosing one of the objects for a second task.

Abstract: This application discloses an information interaction method and apparatus, a storage medium, and an electronic apparatus. The method includes obtaining a first target operation instruction in a VR scenario; selecting and displaying a first virtual operation panel corresponding to the first target operation instruction from a plurality of virtual operation panels in the VR scenario, wherein the plurality of virtual operation panels are displayed mutually independently, and are respectively configured to display different interactive objects. The method may further include obtaining an interactive operation instruction generated by an interactive operation performed by an interactive device on a target interactive object displayed in the first virtual operation panel, the interactive device being associated with the VR scenario; and in response executing a target event corresponding to the target interactive object in the VR scenario.

Abstract: A server includes a first statistic processor configured to calculate, for each of different types of screens displayed on a display; a first statistic value of display time of a screen of each type display on the display, to generate first statistic values corresponding to the different types of screens; a first determiner configured to determine, for each type of the screens, whether a user is concentrating on a screen of each type, based on, from among the first statistic values, a first statistic value calculated for the screen of each type; and a generator configured to generate a list including screen identification information for identifying, from among the different types of screens, a type of screen for which a corresponding determination result from the first determiner is affirmative.

Abstract: Disclosed herein are systems and methods capable of performing text exploration on large volume of corpus without prior knowledge in an accurate and efficient manner and may also provide any number of additional or alternative benefits and advantages. In particular, embodiments described herein provide a text exploration executable environment that uses unsupervised machine-learning to assist a human analyst with distilling key emerging themes from a corpus of hundreds or thousands of text files presented in a time series graphical user interface (GUI). A document may be a unit of text under analysis received from a particular data source, such as word-processing documents, paragraphs, sentences, chat sessions, speech-to-text call segments, online texts, social media postings (e.g., Tweets®), and other machine-readable text.

Abstract: A system and method for an interactive knowledge exploration system is described. The example embodiments allow a subject matter guide to create and curate exploration spaces where users can engage in discovery sessions to learn information about a variety of topics. In one embodiment, the method includes receiving data from a subject matter guide for a data collection associated with a first exploration space. The method also includes processing and parsing the received data into a plurality of proposed subjects for the first exploration space, where each proposed subject is associated with a plurality of data blocks. The method further includes receiving edits to the proposed subjects, including edits to one or more groupings of data blocks of the plurality of data blocks for the proposed subjects, and publishing the first exploration space to make the first exploration space available to the users of the interactive knowledge exploration system.

Abstract: Reinforcement learning may be used to train machine learning (ML) models for robotic process automation (RPA) that are implemented by robots. A policy network may be employed, which learns to achieve a definite output by providing a particular input. In other words, the policy network informs the system whether it is getting closer to the winning state. The policy network may be refined by the robots automatically or with the periodic assistance of a human in order to reach the winning state, or to achieve a more optimal winning state. Robots may also create other robots that utilize reinforcement learning.

Abstract: The present disclosure involves systems, software, and computer implemented methods for generating a unified semantic model identifying a user's intentions or goals within operating the system. By determining the intent and desires of the user, tasks and queries associated with or requested by the user can be more effectively optimized, automated, or otherwise improved. In some computing environments, multiple users access a database which includes a collection of software objects. The objects within the database can sometimes form a hierarchy, with a parent-child relationship among them. Traditionally, a developer creating the database and the objects within can only determine a user's intent based on the actions taken by the user within the database. The present solution provides the developer with a higher level model representing different users' intents based on observed data from a number of sources in addition to the user's interaction with the database.

Abstract: In some embodiments, a computing system identifies a current engagement stage of a user with an online platform by applying a stage prediction model based on interaction data associated with the user. The interaction data describe actions performed by the user with respect to the online platform and context data associated with each of the actions. The computing system further identifies one or more critical events for promoting the user to transition from one engagement stage to a higher engagement stage based on the interaction data associated with the user. The computing system can make the identified current engagement stage of the user or the identified critical event to be accessible by the online platform so that user interfaces presented on the online platform can be modified to improve a likelihood of the user to transit from the current stage to a higher engagement stage.

Abstract: Techniques that include applying machine learning models to episode data, including a cardiac electrogram, stored by a medical device are disclosed. In some examples, based on the application of one or more machine learning models to the episode data, processing circuitry derives, for each of a plurality of arrhythmia type classifications, class activation data indicating varying likelihoods of the classification over a period of time associated with the episode. The processing circuitry may display a graph of the varying likelihoods of the arrhythmia type classifications over the period of time. In some examples, processing circuitry may use arrhythmia type likelihoods and depolarization likelihoods to identify depolarizations, e.g., QRS complexes, during the episode.

Abstract: A method for presenting content items includes receiving, by a first user device, a request for a video item hosted by a content platform, and providing a graphical user interface comprising a first portion having a first media player to playback the requested video item and a second portion having a second media player to playback an additional video item of a plurality of additional video items. The requested video item comprises a plurality of portions, each associated with a corresponding portion of the additional video item based on a set of actions that were performed by a second user interacting with the corresponding portion of the additional video item. The method further includes in response to an interaction of the first user with respect to a portion of the additional video item, causing the playback of the requested video item to pause.

Abstract: An electronic device includes a capacitive driver that is electrically coupled to a pair of conductive plates coupled to a housing and electrically isolated by a dielectric material. The conductive plates are positioned to change relative orientation in relation to deformation of the housing in a first direction. A controller identifies a first capacitance of the pair of conductive plates associated with the housing being in a normal alignment relative to the first direction. The controller presents an object on a user interface device in a first kinematic state. The controller detects, via the first capacitor driver, a change in capacitance from the first capacitance to a second capacitance of the pair of conductive plates. The controller associates the change to a first user input. The controller presents the object on the user interface device in a second kinematic state based on the first user input.

Abstract: In some embodiments, a computer system comprises processors, a request manager coupled to the processors and configured to receive practice test requests, a practice test manager configured to retrieve practice test data, a real time session manager configured to establish a real time session with a user computer, an AI-based analyzer configured to execute a machine learning model to determine accuracy of results received from the user computer, a non-transitory computer-readable storage medium storing sequences of instructions for: receiving, using the request manager, a request for performing a practice test; retrieving, using the practice test manager, data for the practice test; using the real time session manager: establishing a real time session with the user computer to enable the user computer to access the data and execute the practice test; and as the practice test is executed, collecting test results and transmitting them to user devices.

Abstract: This application discloses a system for providing information related to an observed entity to a user. The system includes an information database, a score database, an inference engine and an information providing module. The information database has a plurality of messages stored therein and the messages are related to the observed entity. The score database has a plurality of scores recorded thereinto, and the scores are corresponding to the messages and are input by the user. The inference engine retrieves at least one selected message from the messages stored in the information database according to at least one source data and the score database and generates a list of the selected message. The information providing module provides the selected message to the user according to the list.

Abstract: A node of a collaboration system is provided to establish communication with other nodes, store data identifying graphical targets having locations in a virtual workspace and including locations in the virtual workspace of the identified graphical targets, and compute a mapping of a local client viewport to a local client screen space. The node is configured to render on the local client screen space graphical targets having locations within the local client viewport, provide a user interface to display a list of viewport markers representing viewports, where each viewport defines an area in the workspace, and respond to an input indicating a selected viewport marker from the list of viewport markers, update the local client viewport to match the location and dimensions of the viewport represented by the selected viewport marker, and render on the local client screen space graphical targets having locations within the updated local client viewport.

Abstract: An electronic device is provided and includes a communication circuit, a memory, and a processor connected to the communication circuit and the memory.

Abstract: Implementations are directed to methods for providing an enhanced encounter via a holographic virtual assistant, including detecting, by one or more processors, an encounter request from a user, selecting a first encounter including a first holographic representation and a first dialog output, providing the first encounter for presentation to the user on the holographic virtual assistant, receiving, from the user, a first user reaction, the first user reaction including a first user dialog input and a first user engagement input, and training, using the first user reaction, a conversational goal model.