Crowdsourcing for cognitive science - the utility of smartphones

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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article numbere100662
JournalPLoS ONE
Volume9
Issue number7
DOIs
Publication statusPublished - 2014

Keywords

  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Attentional Blink
  • Cell Phones
  • Cognitive Science
  • Crowdsourcing
  • Decision Making
  • Female
  • Humans
  • Male
  • Memory, Short-Term
  • Middle Aged
  • Wireless Technology
  • Young Adult

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