Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Architecture that enables alerts and notifications to have priorities and time/space durations. Non-critical alerts can be displayed in a non-obtrusive manner and alert/notifications coalesced. Alerts/notifications can be assigned priorities, thereby enabling the alerts/notifications to be non-intrusive to the user. Methods include detecting when the user is using a mobile phone (or other suitable device) and then sending the alert/notification in response to the detected use based on threshold criteria relative to an accumulated sum of alerts/notifications, and an importance level (e.g., of each). Additionally, alert/notification priority can be changed (e.g. elevated, lowered) according to time (when) and space (where), thereby enabling the user to be intrusively notified based on the level, even if not previously signaled. Time and space bounds (criteria) can be assigned to alerts/notifications for merger/grouping and/or set to be auto-dismissed if no longer applicable.

Abstract: One or more techniques and/or systems are provided for deploying an application according to a data access profile used to sandbox the application. For example, an event planner app may be identified for download from an app store. A deployment mock data configuration interface may be presented to a user prior to or as a preliminary operation of downloading and/or installing the event planner app. A data access profile, specifying that the event planner app has access to user age data, but is blocked from accessing user phone number data, for example, may be received through the deployment mock data configuration interface. The event planner app may thus be deployed in a sandbox mode on the device based upon the data access profile (e.g., real age data may be provided to the event planner app whereas mock phone number data may be provided to the event planner app).

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: One or more techniques and/or systems are provided for deploying an application according to a data access profile used to sandbox the application. For example, an event planner app may be identified for download from an app store. A deployment mock data configuration interface may be presented to a user prior to or as a preliminary operation of downloading and/or installing the event planner app. A data access profile, specifying that the event planner app has access to user age data, but is blocked from accessing user phone number data, for example, may be received through the deployment mock data configuration interface. The event planner app may thus be deployed in a sandbox mode on the device based upon the data access profile (e.g., real age data may be provided to the event planner app whereas mock phone number data may be provided to the event planner app).

Abstract: Architecture that provides location broker services which share the user location with other parties (e.g., based on user consent). Stationary computing devices can also determine the location of the user operator and interact accordingly. In one embodiment, the user location is retrieved from the user mobile device (e.g., smart phone) and is transmitted to other mobile or non-mobile devices with which the user interacts. Moreover, existing infrastructure and systems can be employed using a device driver that emulates the user location so that any software that uses the location services does not need modification.

Abstract: Architecture that facilitates power conservation in mobile devices such as cell phones using prediction. The architecture is an algorithmic-based solution that transforms infrequently-captured geolocation data of an entity into a continuous probable location approximation. Given the location history and additional data about the recent location of the mobile device, the current location of the device can be estimated with some probability. Additionally, given the location history and additional data about the recent location of the device, the probability of the device actually being at a given point on a map is computed.

Abstract: Architecture that creates a multi-dimensional spatial model of a mobile device based on data obtained from sensors, such as associated with the mobile device, for example. The spatial model defines the location of the mobile device in space, as well as the device orientation (e.g., heading, and tilt). The spatial model is used to determine a target location (or point) in space at which the mobile device is aiming. The spatial model can be generated based on sensing subsystems that include, but are not limited to, geolocation subsystem (e.g., GPS-global positioning system), a directional (or heading) sensor such as a compass, and gyroscope information to calculate the device tilt relative to the target location.

Abstract: Architecture that integrates location-based information and application-driven devices (e.g., cell phones). Users can now be provided the most relevant application and/or application data based on the user location. Thus, users are assisted in finding the relevant application(s) to accomplish a task based on their current location. More specifically, given a location (e.g., business) registered to a service, the user's client application is automatically updated to comprise the data relevant to that location. Alternatively, or in combination therewith, the service can suggest installing a new application relevant to the location.

Abstract: Architecture that provides location broker services which share the user location with other parties (e.g., based on user consent). Stationary computing devices can also determine the location of the user operator and interact accordingly. In one embodiment, the user location is retrieved from the user mobile device (e.g., smart phone) and is transmitted to other mobile or non-mobile devices with which the user interacts. Moreover, existing infrastructure and systems can be employed using a device driver that emulates the user location so that any software that uses the location services does not need modification.

Abstract: The disclosed architecture facilitates the capture of data associated with a specific geographic location, as captured by a mobile device of a user at the geographic location, for the purpose of guiding the user back to that specific geographic location. When applied to vehicles or other types of user mobility (e.g., walking) the architecture automatically detects that a user has controlled a means of transportation to a stationary (or parked) state, such as associated with a parked car. When the stationary state is reached, the location is detected (e.g., using user device sensing systems). Detection can include recording images, sounds, speech, geolocation data, etc., associated with the location and/or means of transportation. The user can configure a reminder to activate at the location to assist in the user recalling the location when returning to the means of transportation.

Abstract: Architecture that enables alerts and notifications to have priorities and time/space durations. Non-critical alerts can be displayed in a non-obtrusive manner and alert/notifications coalesced. Alerts/notifications can be assigned priorities, thereby enabling the alerts/notifications to be non-intrusive to the user. Methods include detecting when the user is using a mobile phone (or other suitable device) and then sending the alert/notification in response to the detected use based on threshold criteria relative to an accumulated sum of alerts/notifications, and an importance level (e.g., of each). Additionally, alert/notification priority can be changed (e.g. elevated, lowered) according to time (when) and space (where), thereby enabling the user to be intrusively notified based on the level, even if not previously signaled. Time and space bounds (criteria) can be assigned to alerts/notifications for merger/grouping and/or set to be auto-dismissed if no longer applicable.