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Crowdsourcing Samples in Cognitive Science.

Neil Stewart1, Jesse Chandler2, Gabriele Paolacci3

  • 1Warwick Business School, University of Warwick, Coventry, CV4 7AL, UK.

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Summary
This summary is machine-generated.

Online labor markets offer accessible participant pools for cognitive science research. This review covers participant demographics, methodological innovations, ethical considerations, and challenges like participant experience and the tragedy of the commons.

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Area of Science:

  • Cognitive Science
  • Psychology
  • Human-Computer Interaction

Background:

  • Crowdsourcing data collection via online labor markets is increasingly prevalent in cognitive science.
  • Understanding the characteristics of online participant pools is crucial for generalizability.

Purpose of the Study:

  • To review the demographics of participants recruited from online labor markets.
  • To discuss methodological innovations and ethical considerations in online experimentation.
  • To address challenges related to participant experience and resource sustainability.

Main Methods:

  • Literature review of studies employing crowdsourcing for data collection.
  • Analysis of methodological advancements in web-based experimental design.
  • Discussion of ethical frameworks for online research.

Main Results:

  • Online participant pools offer diverse demographics but may differ from traditional laboratory samples.
  • Methodological innovations facilitate robust online data collection, including video/audio presentation and reaction time measurement.
  • High participant experience levels and the "tragedy of the commons" present emerging challenges.

Conclusions:

  • Online crowdsourcing is a viable method for cognitive science research, but researchers must carefully consider participant characteristics and methodological rigor.
  • Addressing ethical issues and the "tragedy of the commons" is essential for the sustainable use of online labor markets in research.