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Crowdsourcing for Cognitive Science – The Utility of Smartphones

Overview of attention for article published in PLOS ONE, July 2014
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Title
Crowdsourcing for Cognitive Science – The Utility of Smartphones
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0100662
Pubmed ID
Authors

Harriet R. Brown, Peter Zeidman, Peter Smittenaar, Rick A. Adams, Fiona McNab, Robb B. Rutledge, Raymond J. Dolan

Abstract

By 2015, there will be an estimated two billion smartphone users worldwide. This technology presents exciting opportunities for cognitive science as a medium for rapid, large-scale experimentation and data collection. At present, cost and logistics limit most study populations to small samples, restricting the experimental questions that can be addressed. In this study we investigated whether the mass collection of experimental data using smartphone technology is valid, given the variability of data collection outside of a laboratory setting. We presented four classic experimental paradigms as short games, available as a free app and over the first month 20,800 users submitted data. We found that the large sample size vastly outweighed the noise inherent in collecting data outside a controlled laboratory setting, and show that for all four games canonical results were reproduced. For the first time, we provide experimental validation for the use of smartphones for data collection in cognitive science, which can lead to the collection of richer data sets and a significant cost reduction as well as provide an opportunity for efficient phenotypic screening of large populations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
United Kingdom 5 2%
Switzerland 3 1%
Germany 3 1%
France 2 <1%
Brazil 2 <1%
Uruguay 1 <1%
Australia 1 <1%
Hungary 1 <1%
Other 7 3%
Unknown 212 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 19%
Student > Ph. D. Student 46 19%
Student > Master 33 14%
Student > Bachelor 29 12%
Professor 12 5%
Other 48 20%
Unknown 27 11%
Readers by discipline Count As %
Psychology 66 27%
Social Sciences 20 8%
Computer Science 20 8%
Neuroscience 18 7%
Agricultural and Biological Sciences 15 6%
Other 52 21%
Unknown 51 21%