Dell Products Inc.

Spencer Grant Bull

Michiel Sebastiaan Emanuel Petrus Knoppert

Tyler Ryan Cox

Mark R Ligameri

Jake Mitchell Leland

Vivek Viswanathan Iyer

Michael S Gatson

Richard William Schuckle

Ryan Nicholas Comer

Shreya Gupta

Nikhil Manohar Vichare

Marc Randall Hammons

Christopher Alan Robinette

Systems and methods for moving activities between devices in a web-based workspace are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: render a sharing panel in a browser configured to manage a project comprising one or more tabs, where the sharing panel comprises a plurality of device icons and where each of the device icons is associated with a different one of a plurality of devices, and, in response to a drag-and-drop operation of a selected tab by a user to a device icon, share content displayed in the tab with a device associated with the device icon.

Moving activities between devices in a web-based workspace

Systems and methods for providing application management and navigation in a web-based environment are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: determine that a user has dragged-and-dropped a tab onto a launch bar of a web browser, parse a Uniform Resource Locator (URL) associated with the tab into a resource and a data source, and add a web app icon corresponding to the resource to the launch bar.

Application management and navigation of web applications in a web-based environment

Embodiments of systems and methods for providing contextual intelligence for virtual workspaces produced across Information Handling Systems (IHSs) are described. A first IHS may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the first IHS to: establish a virtual workspace across a first display of the first IHS and a second display of a second IHS, at least in part, through a backend IHS, and provide a contextual menu for rendering by a given one of the first or second displays, where the given display is selected, at least in part, based upon a relative position of the first display with respect to the second display.

Contextual intelligence for virtual workspaces produced across information handling systems (IHSs)

Embodiments of systems and methods for providing a graphical user interface (GUI) for controlling virtual workspaces produced across Information Handling Systems (IHSs) are described. An IHS may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: establish a virtual workspace across a screen of the IHS and a second screen of a second IHS, at least in part, through a backend IHS; and provide a virtual workspace interface on the screen, where the virtual workspace interface comprises a first graphical representation of the IHS and a second graphical representation of the second IHS, and where in response to a user dragging a first instance of an application window displayed on the screen to the second graphical representation of the second IHS, a second instance of the application window is rendered on the second screen.

Graphical user interface (GUI) for controlling virtual workspaces produced across information handling systems (IHSs)

A system, method, and computer-readable medium are disclosed for configuring and offering upgrade capability to information handling systems. A deep learning or machine learning model (DL/ML) model is trained to optimize a particular configuration and use cases for an information handling system and provides various levels of upgrades for the use cases. Levels are identified as base or upgrade and mapped to a licensing layer that enables or disables use of performance levels based on weights that enable base output level classes and disable upgrade output level classes. An offer to upgrade is made as to upgrade levels upon a determination of probabilities of performance output level classes.

Offer driven deep learning capability

As part of virtual meetings, information that has been visually presented to the participants may be distributed to all or some of the participants. Embodiments provide capabilities for identifying such shared information to be distributed to virtual meeting participants based on the context in which the information was shared. A user joining a collaborative session via a first IHS (Information Handling System) is detected and affiliations of the user are determined. The display of information to the user via a collaboration tool is detected. Activity by the user is monitored while the shared information is displayed to the user via the collaboration tool. An event is detected that triggers distribution of the displayed information. Whether to distribute the displayed information to the user's IHS is determined based on the user's affiliations, attributes of the information and the monitored activity of the user during the display of the information.

Systems and methods for distribution of shared content based on session context

In one or more embodiments, one or more systems, methods, and/or processes may: determine, based at least on first reflections of light emissions off an eye of a user, first multiple vectors from the eye of the user to a first display of multiple displays of a workspace configuration; determine, based at least on second reflections of light emissions off the eye of the user, second multiple vectors from the eye of the user to a second display of the multiple displays; determine physical dimensions of the first display based at least on the first multiple vectors; determine physical dimensions of the second display based at least on the second multiple vectors; determine a physical location of the first display based at least on the first multiple vectors; and determine a physical location of the second display based at least on the second multiple vectors.

System and method of determining attributes of a workspace configuration based on eye gaze or head pose

Embodiments of systems and methods for a dynamic virtual workspace with contextual control of input/output (I/O) devices are described. A first Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the first IHS to: transmit a virtual workspace initiation request to a backend IHS, wherein the request comprises an identification of a second IHS collocated with respect to the first IHS; receive, from the backend IHS, data associated with the second IHS; determine a position of the second IHS; and initiate the virtual workspace across a first screen of the first IHS and a second screen of the second IHS based upon the data and the position.

Dynamic virtual workspace with contextual control of input/output (I/O) devices

In one or more embodiments, one or more systems, methods, and/or processes may: determine multiple gaze vectors of a user viewing content of a foreground application displayed via a display; determine a pattern based at least on the multiple gaze vectors; determine if the pattern is a search pattern, a static pattern, or a reading pattern; if not so, make a first adjustment of an environment associated with the user; if so, determine if the foreground application is a productivity application; if not so, make the first adjustment of the environment associated with the user; if so, determine if the content of the foreground application is classified as productive; if not so, make the first adjustment of the environment associated with the user; and if so, make a second adjustment of the environment associated with the user, different from the first adjustment of the environment associated with the user.

System and method of adjusting of an environment associated with a user

In one or more embodiments, one or more systems, methods, and/or processes may: determine if the user is utilizing a previously utilized a workspace configuration; if the user is utilizing the previously utilized workspace configuration, display multiple windows respectively associated with multiple applications; and if the user is not utilizing the previously utilized workspace configuration: determine hardware resources of a current workspace configuration; modify the workspace configuration data based at least on the hardware resources of the current workspace configuration; map the multiple windows respectively associated with the multiple applications to multiple displays of the current workspace configuration based at least on the workspace configuration data; adjust a resolution of a window of the multiple windows based at least on a resolution of a display of the multiple displays that shall display the window; and translate a saved position of the window to a position associated with the display.

System and method of utilizing workspace configurations

Methods, systems, and computer programs encoded on computer storage medium, for identifying a classification of a first device; comparing the classification of the first device with a device classification listing for zones of control; determining that the classification of the first device matches i) the device classification listing for a first zone of control and ii) the device classification listing for a second zone of control; identifying a classification of a second device; comparing the classification of the second device with i) the device classification listing for the first zone of control and ii) the device classification listing for the second zone of control; determining that both i) the classification of the first device and ii) the classification of the second device matches the device classification listing for only the first zone of control; identifying a gateway of the first zone of control as managing the first and second devices.

Device identification and control in a computing environment

The present disclosure provides embodiments of systems and methods that may be used by an information handling system (IHS) to improve the accuracy of eye tracking data generated by an eye tracking system of the IHS when a user's gaze is not directed to a gaze interaction plane of the eye tracking system. In one embodiment, the method may include receiving first data corresponding to a hinge angle (&#x3b8;) measured between a first surface and a second surface of the IHS, receiving second data corresponding to a user's gaze on the first surface or the second surface, and using the first data and the second data to provide accurate eye tracking data when the user's gaze is directed to the second surface. When the user's gaze is directed to the first surface, the method may use the second data, but not the first data, to provide accurate eye tracking data.

Information handling system and method to improve the accuracy of eye tracking data generated by an eye tracking system

A method of identifying an unknown device via interrogation may comprise determining a communication address of an unknown device in communication with an information handling system, capturing a digital image of the unknown device, determining the unknown device belongs to a known class of devices via an object recognition algorithm to analyze the digital image, accessing a device class registry listing a plurality of candidate object identifications associated with the known class of devices, identifying a stimulus action or actuation associated with a first of the plurality of candidate device identifications. The method may also comprise performing the stimulus action, receiving an indication via the communication address indicating the unknown device detected the stimulus action, and associating the communication address of the unknown device with the first of the plurality of candidate device identifications.

Growing community of inventors

Cedar Park, TX, United States of America

Spencer Grant Bull