Abstract: Systems and methods described herein may provide a system that enables game play or other application sessions from a set of candidate game hosts and environments to consumption devices of a user's choice while the user moves about their home between the different environments. The system may employ methods to determine where a user is located within the home, availability and selection of candidate game hosting and target environments, homing and direction of related I/O and audio-visual (AV) content for consumption. The solution accommodates multiple users simultaneously within the home, whether in single player, multiplayer using the same screen, or multiplayer using separate screen games. The solution may configure AV and input/output (I/O) such that multiple users can consume one or multiple games in the home simultaneously, whether in separate locations or when seated together in front of the same consumption device.

Abstract: A data-driven, intelligent ergonomic behavioral aid based on uniquely captured telemetry and user behavior data is provided. The aggregation of the telemetry data and user presence events over time can provide sufficient context to understand user patterns and behavior as well as the user's environment. The provided system may learn from this data and recommend to the user best practices and actions to take to minimize the health risk specific to their behavior with respect to the computing ecosystem. In some instances, the provided system may initiate one or more actions, rather than a recommendation, that force the user to change their behavior if the user desires to continue interacting with the computing ecosystem.

Abstract: This disclosure provides systems, methods, and apparatuses for a user interaction recognition. In an aspect, a method includes receiving, at a server, first telemetry information from a first device, the first telemetry information associated with a first user session of a first application, the first user session associated with a first user. The method further includes receiving second telemetry information from a second device, the second telemetry information associated with a second user session of a second application, the second user session associated with a second user. The method also includes generating an interaction candidate based on a comparison of the first telemetry information and the second telemetry information, and transmitting the interaction candidate to the first device.

Abstract: Systems and methods described herein may provide a system that enables game play or other application sessions from a set of candidate game hosts and environments to consumption devices of a user's choice while the user moves about their home between the different environments. The system may employ methods to determine where a user is located within the home, availability and selection of candidate game hosting and target environments, homing and direction of related I/O and audio-visual (AV) content for consumption. The solution accommodates multiple users simultaneously within the home, whether in single player, multiplayer using the same screen, or multiplayer using separate screen games. The solution may configure AV and input/output (I/O) such that multiple users can consume one or multiple games in the home simultaneously, whether in separate locations or when seated together in front of the same consumption device.

Abstract: Managing virtual break sessions, including: identifying user preferences associated with virtual break sessions; generating a weight for the user preferences; generating, based on the weights for the user preferences, a score for each virtual break session of potential virtual break sessions; comparing the score of each virtual break session of the potential virtual break sessions to a threshold score; determining, based on the comparing, that the score for a particular virtual break session of the potential virtual break sessions is greater than the threshold score, and in response, providing a notification to a display device indicating the particular virtual break session proximate to a time associated with the particular virtual break session; obtaining, during the particular virtual break session, user engagement signals associated with the particular virtual break session; and updating, based on the user engagement signals, the weight for each of the user preferences.

Abstract: Managing input sensitivity of an information handling system, including performing a calibration and configuration of an input sensitivity management model, including: identifying contextual data associated with the information handling system, the contextual data including i) system characteristics of the information handling system and ii) o user characteristics of a user of the information handling system; identifying historic states of the information handling system, the historic states including for each state in time of the information handling system, inputs to the information handling system and outputs of the information handling system based on the inputs to the information handling system; training, based on the contextual data and the historic states, the input sensitivity management model for determining an input sensitivity of the inputs to the information handling system; performing, after performing the calibration and configuration of the input sensitivity management model, a steady-state mo

Abstract: Displaying multi-source content based on interaction data, including: identifying user interaction data associated with computer-implemented applications, the user interaction data including interaction data of a particular user; identifying social interaction data associated with the computer-implemented applications, the social interaction data including interaction data of one or more social contacts of the particular user; identifying regional interaction data associated with the computer-implemented applications, the regional interaction data including interaction data of users of a particular region; aggregating content associated with the computer-implemented applications based on the user interaction data, the filtered social interaction data, and the filtered regional interaction data; scoring the aggregated content based on weight components; applying, based on the content scores, interface adjustments to interface elements of a graphical timeline, the graphical timeline depicting the interface elem

Abstract: 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.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may receive, from a user, first user input that indicates a selection of a game; may determine one or more numerical values respectively associated with one or more attributes associated with the game; may determine multiple numerical experience scores associated with multiple information handling systems operable for the user to play the game; may rank the multiple information handling systems by respective numerical experience scores; and may recommend at least one of the multiple information handling systems to the user based at least on ranking the multiple information handling systems by respective numerical experience scores and based at least on the one or more numerical values respectively associated with the one or more attributes associated with the game.

Abstract: Displaying multi-source content based on interaction data, including: identifying user interaction data associated with computer-implemented applications, the user interaction data including interaction data of a particular user; identifying social interaction data associated with the computer-implemented applications, the social interaction data including interaction data of one or more social contacts of the particular user; identifying regional interaction data associated with the computer-implemented applications, the regional interaction data including interaction data of users of a particular region; aggregating content associated with the computer-implemented applications based on the user interaction data, the filtered social interaction data, and the filtered regional interaction data; scoring the aggregated content based on weight components; applying, based on the content scores, interface adjustments to interface elements of a graphical timeline, the graphical timeline depicting the interface elem

Abstract: Managing input sensitivity of an information handling system, including performing a calibration and configuration of an input sensitivity management model, including: identifying contextual data associated with the information handling system, the contextual data including i) system characteristics of the information handling system and ii) o user characteristics of a user of the information handling system; identifying historic states of the information handling system, the historic states including for each state in time of the information handling system, inputs to the information handling system and outputs of the information handling system based on the inputs to the information handling system; training, based on the contextual data and the historic states, the input sensitivity management model for determining an input sensitivity of the inputs to the information handling system; performing, after performing the calibration and configuration of the input sensitivity management model, a steady-state mo

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may receive, from a user, first user input that indicates a selection of a game; may determine one or more numerical values respectively associated with one or more attributes associated with the game; may determine multiple numerical experience scores associated with multiple information handling systems operable for the user to play the game; may rank the multiple information handling systems by respective numerical experience scores; and may recommend at least one of the multiple information handling systems to the user based at least on ranking the multiple information handling systems by respective numerical experience scores and based at least on the one or more numerical values respectively associated with the one or more attributes associated with the game.

Abstract: 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.

Abstract: Managing content of a user interface, including identifying an UI application that provides for display a UI on a display device, the UI application providing a primary content item for inclusion by the UI; identifying a request for a secondary content item to be included within the UI, and in response, identifying one or more secondary content items; performing content feature extraction of the primary content item to identify primary content features; performing content feature extraction of the secondary content items to identify secondary content features; comparing the primary content features and the secondary content features to identify similarities therebetween; sorting the secondary content features based on the similarity between the secondary content features and the primary content features; identifying a particular secondary content item of the one or more secondary content items; updating the UI to include the particular secondary content item within the UI.

Abstract: 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.

Abstract: 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.

Abstract: 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 (?) 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.

Abstract: 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 (?) 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.