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Behavioral Priming: It's All in the Mind, but Whose Mind?

Overview of attention for article published in PLOS ONE, January 2012
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Title
Behavioral Priming: It's All in the Mind, but Whose Mind?
Published in
PLOS ONE, January 2012
DOI 10.1371/journal.pone.0029081
Pubmed ID
Authors

Stéphane Doyen, Olivier Klein, Cora-Lise Pichon, Axel Cleeremans

Abstract

The perspective that behavior is often driven by unconscious determinants has become widespread in social psychology. Bargh, Chen, and Burrows' (1996) famous study, in which participants unwittingly exposed to the stereotype of age walked slower when exiting the laboratory, was instrumental in defining this perspective. Here, we present two experiments aimed at replicating the original study. Despite the use of automated timing methods and a larger sample, our first experiment failed to show priming. Our second experiment was aimed at manipulating the beliefs of the experimenters: Half were led to think that participants would walk slower when primed congruently, and the other half was led to expect the opposite. Strikingly, we obtained a walking speed effect, but only when experimenters believed participants would indeed walk slower. This suggests that both priming and experimenters' expectations are instrumental in explaining the walking speed effect. Further, debriefing was suggestive of awareness of the primes. We conclude that unconscious behavioral priming is real, while real, involves mechanisms different from those typically assumed to cause the effect.

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Geographical breakdown

Country Count As %
United States 12 1%
United Kingdom 12 1%
Netherlands 9 <1%
Germany 7 <1%
Switzerland 3 <1%
France 3 <1%
Australia 3 <1%
Brazil 2 <1%
Hungary 2 <1%
Other 20 2%
Unknown 967 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 214 21%
Student > Master 169 16%
Student > Bachelor 153 15%
Researcher 105 10%
Student > Doctoral Student 49 5%
Other 219 21%
Unknown 131 13%
Readers by discipline Count As %
Psychology 535 51%
Social Sciences 74 7%
Business, Management and Accounting 49 5%
Computer Science 29 3%
Economics, Econometrics and Finance 27 3%
Other 157 15%
Unknown 169 16%