Google Inc.

Mighty Ai LLC

Matthew Newman Shobe

Christopher Vander Mey

Brian David Marsh

Angela Beth Hugeback

Patrick Emmett O'Donnell

Yuan Li

Matthew Justin Von Bencke

Daryn Edward Nakhuda

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.

Automated tasking and accuracy assessment systems and methods for assigning and assessing individuals and tasks

In general, this disclosure describes techniques for selecting a subset of participants to display on a display device of a computing device from a plurality of participants in a video conference. In one example, a method includes determining a participation rating for each of a plurality of participants in a video conference, wherein the participation rating is based on one or more conversation properties for each of the two or more participants. The method also includes selecting two or more participants based on the participation rating of each of the two or more participants. The method further includes displaying image data associated with the two or more selected participants on a display device of a computing device.

Selecting participants in a video conference

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Mercer Island, WA, United States of America

Matthew Newman Shobe