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Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research

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  • Matthew J C Crump
  • John V McDonnell
  • Todd M Gureckis

Abstract

Amazon Mechanical Turk (AMT) is an online crowdsourcing service where anonymous online workers complete web-based tasks for small sums of money. The service has attracted attention from experimental psychologists interested in gathering human subject data more efficiently. However, relative to traditional laboratory studies, many aspects of the testing environment are not under the experimenter's control. In this paper, we attempt to empirically evaluate the fidelity of the AMT system for use in cognitive behavioral experiments. These types of experiment differ from simple surveys in that they require multiple trials, sustained attention from participants, comprehension of complex instructions, and millisecond accuracy for response recording and stimulus presentation. We replicate a diverse body of tasks from experimental psychology including the Stroop, Switching, Flanker, Simon, Posner Cuing, attentional blink, subliminal priming, and category learning tasks using participants recruited using AMT. While most of replications were qualitatively successful and validated the approach of collecting data anonymously online using a web-browser, others revealed disparity between laboratory results and online results. A number of important lessons were encountered in the process of conducting these replications that should be of value to other researchers.

Suggested Citation

  • Matthew J C Crump & John V McDonnell & Todd M Gureckis, 2013. "Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-18, March.
    • Handle: RePEc:plo:pone00:0057410
    DOI: 10.1371/journal.pone.0057410
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    References listed on IDEAS

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    1. repec:cup:judgdm:v:5:y:2010:i:5:p:411-419 is not listed on IDEAS
    2. Paolacci, Gabriele & Chandler, Jesse & Ipeirotis, Panagiotis G., 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Cambridge University Press, vol. 5(5), pages 411-419, August.
    3. Ofra Amir & David G Rand & Ya'akov Kobi Gal, 2012. "Economic Games on the Internet: The Effect of $1 Stakes," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-4, February.
    4. Siddharth Suri & Duncan J Watts, 2011. "Cooperation and Contagion in Web-Based, Networked Public Goods Experiments," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-18, March.
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