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Much of HCI research focuses on improving the user experience by using data from human subjects experiments. Designing a laboratory study, observing participants, and compensating them is a very expensive process, in terms of both time and money. Due to these costs, sample sizes tend to be relatively small, which in turn has an effect on the estimation of exact effect sizes. However, new crowdsourcing technologies, such as Amazons Mechanical Turk, allow researchers to conduct human subjects experiments in much less time, on much larger sample sizes, and for less money. In this paper I describe several previous studies that I have performed using crowdsourcingsome prior to joining NISTand explain how they would have been time and cost prohibitive without crowdsourcing technologies.
Proceedings Title
Proceedings of The Human Computer Interaction Consortium (HCIC) 2011 Workshop
Conference Dates
June 14-18, 2011
Conference Location
Monterey, CA
Conference Title
The Human Computer Interaction Consortium (HCIC) 2011 Workshop
Egelman, S.
(2011),
Can Crowdsourcing Improve HCI?, Proceedings of The Human Computer Interaction Consortium (HCIC) 2011 Workshop, Monterey, CA
(Accessed October 31, 2024)