Abstract: Disclosed is a tasking system to assign individuals to tasks. The tasking system targets a user for the task based information in a user profile such as demographics, background and reputation of the user to perform a task. The tasking system predicts if a user will do a given task well based on a user's background, user's skill, and applied predictive algorithms. The tasking system manages the workflow of the task, assesses the probability of the user's answer being accurate, and continuously optimizes assignment and assessment of the task to improve data quality.

Abstract: Disclosed is a system (and process) for determining the accuracy of computerized tasks in a task batch. The system calculates a number of reviews to assess the accuracy of a task based on a source accuracy and a reviewer accuracy. The source accuracy is based factors calculated by a predictive model, the factors including a historical accuracy of an authoring user. The reviewer accuracy is based on a true positive rate and a true negative rate of one or more reviewers of the task batch. The system transmits sourced tasks to a same number of reviewers. The system collects reviews and assesses if the task passes review based on the collected number of reviews.

Abstract: In implementations of creating a communication group, a mobile device can receive a selection to enable communication of location information between devices that correspond to entities from a group of entities associated with a user of the mobile device. The mobile device can receive location information that describes a physical location or proximity of the devices that correspond to the entities, and present in a user interface on a display device, a visual representation that indicates at least one of the entities is at a location within a pre-set distance of the mobile device. A communication group can be created that includes the entities selected from the group of entities associated with the user of the mobile device. The mobile device can also communicate the location information of the mobile device to all of the devices that correspond to the entities as a group communication based on the communication group.

Abstract: Disclosed is a configuration for segmenting an image. For each user, the configuration computes an accuracy and contribution score. The configuration determines multiple tasks for segmenting an image. For each task, the configuration assigns a particular user to work on a task based on an accuracy or a contribution score of the particular user, receives an indication of a completed task from the particular user, and assesses an accuracy of the completed task based on the accuracy of the particular user. Responsive to determining all multiple tasks are completed accurately, the configuration combines the completed multiple tasks to form a segmented image.

Abstract: Disclosed is a system (and process) for determining the accuracy of computerized tasks in a task batch. The system calculates a number of reviews to assess the accuracy of a task based on a source accuracy and a reviewer accuracy. The source accuracy is based factors calculated by a predictive model, the factors including a historical accuracy of an authoring user. The reviewer accuracy is based on a true positive rate and a true negative rate of one or more reviewers of the task batch. The system transmits sourced tasks to a same number of reviewers. The system collects reviews and assesses if the task passes review based on the collected number of reviews.

Abstract: Disclosed is a tasking system to assign individuals to tasks. The tasking system targets a user for the task based information in a user profile such as demographics, background and reputation of the user to perform a task. The tasking system predicts if a user will do a given task well based on a user's background, user's skill, and applied predictive algorithms. The tasking system manages the workflow of the task, assesses the probability of the user's answer being accurate, and continuously optimizes assignment and assessment of the task to improve data quality.

Abstract: In implementations of creating a communication group, a mobile device can receive a selection to enable communication of location information between devices that correspond to entities from a group of entities associated with a user of the mobile device. The mobile device can receive location information that describes a physical location or proximity of the devices that correspond to the entities, and present in a user interface on a display device, a visual representation that indicates at least one of the entities is at a location within a pre-set distance of the mobile device. A communication group can be created that includes the entities selected from the group of entities associated with the user of the mobile device. The mobile device can also communicate the location information of the mobile device to all of the devices that correspond to the entities as a group communication based on the communication group.

Abstract: This document describes tools capable of differentiating a superset of entities from which a user may receive current updates effective to provide current updates for only some of the entities of the superset. In one embodiment, for example, the tools enable a user of a mobile device to select a set of entities from which the user will automatically receive updates that are current, easily accessible, and visible at-a-glance. The tools may forgo providing current updates for entities that are not selected by the user, though the tools may provide these updates when explicitly requested by the user or at particular times or events.

Abstract: This document describes tools capable of enabling users of mobile communication devices to create communication groups quickly and easily. With such a communication group a user may call, text, or instant message all persons in the group at once by selecting the communication group rather than each person in the group. In one embodiment, the tools enable a user to build a communication group by dragging and dropping indicators for persons he or she knows from one area of a screen into another area. In another embodiment, the tools automatically collect persons from those that the user knows based on one or more criteria. The user may then easily create a communication group of those collected persons, such as by tapping on an area of a mobile device's display.

Abstract: This document describes tools capable of enabling users of mobile communication devices to create communication groups quickly and easily. With such a communication group a user may call, text, or instant message all persons in the group at once by selecting the communication group rather than each person in the group. In one embodiment, the tools enable a user to build a communication group by dragging and dropping indicators for persons he or she knows from one area of a screen into another area. In another embodiment, the tools automatically collect persons from those that the user knows based on one or more criteria. The user may then easily create a communication group of those collected persons, such as by tapping on an area of a mobile device's display.

Abstract: This document describes tools capable of enabling users of mobile communication devices to create communication groups quickly and easily. With such a communication group a user may call, text, or instant message all persons in the group at once by selecting the communication group rather than each person in the group. In one embodiment, the tools enable a user to build a communication group by dragging and dropping indicators for persons he or she knows from one area of a screen into another area. In another embodiment, the tools automatically collect persons from those that the user knows based on one or more criteria. The user may then easily create a communication group of those collected persons, such as by tapping on an area of a mobile device's display.

Abstract: This document describes tools capable of differentiating a superset of entities from which a user may receive current updates effective to provide current updates for only some of the entities of the superset. In one embodiment, for example, the tools enable a user of a mobile device to select a set of entities from which the user will automatically receive updates that are current, easily accessible, and visible at-a-glance. The tools may forgo providing current updates for entities that are not selected by the user, though the tools may provide these updates when explicitly requested by the user or at particular times or events.

Abstract: This document describes tools capable of differentiating a superset of entities from which a user may receive current updates effective to provide current updates for only some of the entities of the superset. In one embodiment, for example, the tools enable a user of a mobile device to select a set of entities from which the user will automatically receive updates that are current, easily accessible, and visible at-a-glance. The tools may forgo providing current updates for entities that are not selected by the user, though the tools may provide these updates when explicitly requested by the user or at particular times or events.

Abstract: This document describes tools capable of differentiating a superset of entities from which a user may receive current updates effective to provide current updates for only some of the entities of the superset. In one embodiment, for example, the tools enable a user of a mobile device to select a set of entities from which the user will automatically receive updates that are current, easily accessible, and visible at-a-glance. The tools may forgo providing current updates for entities that are not selected by the user, though the tools may provide these updates when explicitly requested by the user or at particular times or events.

Abstract: This document describes tools capable of differentiating a superset of entities from which a user may receive current updates effective to provide current updates for only some of the entities of the superset. In one embodiment, for example, the tools enable a user of a mobile device to select a set of entities from which the user will automatically receive updates that are current, easily accessible, and visible at-a-glance. The tools may forgo providing current updates for entities that are not selected by the user, though the tools may provide these updates when explicitly requested by the user or at particular times or events.

Abstract: This document describes tools capable of enabling users of mobile communication devices to create communication groups quickly and easily. With such a communication group a user may call, text, or instant message all persons in the group at once by selecting the communication group rather than each person in the group. In one embodiment, the tools enable a user to build a communication group by dragging and dropping indicators for persons he or she knows from one area of a screen into another area. In another embodiment, the tools automatically collect persons from those that the user knows based on one or more criteria. The user may then easily create a communication group of those collected persons, such as by tapping on an area of a mobile device's display.

Abstract: This document describes tools capable of differentiating a superset of entities from which a user may receive current updates effective to provide current updates for only some of the entities of the superset. In one embodiment, for example, the tools enable a user of a mobile device to select a set of entities from which the user will automatically receive updates that are current, easily accessible, and visible at-a-glance. The tools may forgo providing current updates for entities that are not selected by the user, though the tools may provide these updates when explicitly requested by the user or at particular times or events.