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Crowdsourcing for Cognitive Science – The Utility of Smartphones

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, rest...

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Detalles Bibliográficos
Autores principales: Brown, Harriet R., Zeidman, Peter, Smittenaar, Peter, Adams, Rick A., McNab, Fiona, Rutledge, Robb B., Dolan, Raymond J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4099129/
https://www.ncbi.nlm.nih.gov/pubmed/25025865
http://dx.doi.org/10.1371/journal.pone.0100662
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author Brown, Harriet R.
Zeidman, Peter
Smittenaar, Peter
Adams, Rick A.
McNab, Fiona
Rutledge, Robb B.
Dolan, Raymond J.
author_facet Brown, Harriet R.
Zeidman, Peter
Smittenaar, Peter
Adams, Rick A.
McNab, Fiona
Rutledge, Robb B.
Dolan, Raymond J.
author_sort Brown, Harriet R.
collection PubMed
description 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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spelling pubmed-40991292014-07-18 Crowdsourcing for Cognitive Science – The Utility of Smartphones Brown, Harriet R. Zeidman, Peter Smittenaar, Peter Adams, Rick A. McNab, Fiona Rutledge, Robb B. Dolan, Raymond J. PLoS One Research Article 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. Public Library of Science 2014-07-15 /pmc/articles/PMC4099129/ /pubmed/25025865 http://dx.doi.org/10.1371/journal.pone.0100662 Text en © 2014 Brown et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Brown, Harriet R.
Zeidman, Peter
Smittenaar, Peter
Adams, Rick A.
McNab, Fiona
Rutledge, Robb B.
Dolan, Raymond J.
Crowdsourcing for Cognitive Science – The Utility of Smartphones
title Crowdsourcing for Cognitive Science – The Utility of Smartphones
title_full Crowdsourcing for Cognitive Science – The Utility of Smartphones
title_fullStr Crowdsourcing for Cognitive Science – The Utility of Smartphones
title_full_unstemmed Crowdsourcing for Cognitive Science – The Utility of Smartphones
title_short Crowdsourcing for Cognitive Science – The Utility of Smartphones
title_sort crowdsourcing for cognitive science – the utility of smartphones
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4099129/
https://www.ncbi.nlm.nih.gov/pubmed/25025865
http://dx.doi.org/10.1371/journal.pone.0100662
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