Psuedo-dyadic "interaction" on Amazon's Mechanical Turk

Date

2014-09-17, 2013

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Abstract

Psychological researchers have begun to utilize Amazon’s Mechanical Turk (MTurk) marketplace as a participant pool. Although past work has established that MTurk is well suited to examining individual behavior, pseudo-dyadic interactions, in which participants falsely believe they are interacting with a partner, are a key element of social and cognitive psychology. The ability to conduct such interdependent research on MTurk would increase the utility of this online population for a broad range of psychologists. The present research therefore attempts to qualitatively replicate well-established pseudo-dyadic tasks on MTurk in order to establish the utility of this platform as a tool for researchers.We find that participants do behave as if a partner is real, even when doing so incurs a financial cost, and that they are sensitive to subtle information about the partner in a minimal-groups paradigm, supporting the use of MTurk for pseudo-dyadic research.

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Keywords

Interaction, Internet, Social Influence, Interdependent decision-making, Cooperation

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