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Pseudo-dyadic "interaction" on Amazon's Mechanical Turk.

Amy Summerville1, Christopher R Chartier

  • 1Department of Psychology, Miami University, 90 N. Patterson Ave., Oxford, OH 45056, USA. summera@muohio.edu

Behavior Research Methods
|October 12, 2012
PubMed
Summary
This summary is machine-generated.

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Amazon Mechanical Turk (MTurk) is a viable platform for psychological research involving pseudo-dyadic interactions. Participants behave realistically, even with costs, and respond to social cues, validating MTurk for interdependent studies.

Area of Science:

  • Social Psychology
  • Cognitive Psychology
  • Human-Computer Interaction

Background:

  • Amazon Mechanical Turk (MTurk) is increasingly used for psychological research.
  • Previous research confirmed MTurk's suitability for individual behavior studies.
  • Pseudo-dyadic interactions are crucial for social and cognitive psychology research.

Purpose of the Study:

  • To assess the utility of MTurk for pseudo-dyadic research.
  • To replicate established pseudo-dyadic tasks on the MTurk platform.
  • To determine if MTurk can support interdependent research in psychology.

Main Methods:

  • Replication of established pseudo-dyadic tasks on Amazon Mechanical Turk.
  • Qualitative assessment of participant behavior in simulated interaction scenarios.

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  • Minimal-groups paradigm used to test sensitivity to partner information.

    • Main Results:

    • Participants behaved as if interacting with a real partner, even when financially penalized.
    • Participants demonstrated sensitivity to subtle social information about their supposed partner.
    • The findings support the validity of MTurk for pseudo-dyadic research.

    Conclusions:

    • MTurk is a suitable platform for conducting pseudo-dyadic research in psychology.
    • The platform can effectively simulate interdependent interactions.
    • Researchers can leverage MTurk for a wider range of social and cognitive psychology studies.