AAAI Publications, First AAAI Conference on Human Computation and Crowdsourcing

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Inserting Micro-Breaks into Crowdsourcing Workflows
Jeffrey M. Rzeszotarski, Ed Chi, Praveen Paritosh, Peng Dai

Last modified: 2013-11-03

Abstract


Participants in human computation workflows may become fatigued or get bored over long, interminable working hours. This leads to a slump of motivation and morale, which in the long run causes reductions in both productivity and work quality. In this paper we propose an initial investigation into possible ways to alleviate worker fatigue and boredom by employing micro-breaks that provide timely relax to workers during long sequences of tasks. We experimentally test micro-breaks on Amazon’s Mechanical Turk, showing that micro-breaks can significantly improve worker retention rate as task batches reach hours in length, and appear to increase overall worker engagement and commitment to their work.

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