Literature DB >> 21547770

Attentional biases using the body in the crowd task: are angry body postures detected more rapidly?

Tracy Gilbert1, Rachael Martin, Mark Coulson.   

Abstract

Research using schematic faces has consistently demonstrated attentional biases towards threatening information (angry faces), which are accentuated for individuals with higher levels of anxiety. However, research has yet to reveal whether this is the case for other nonverbal channels of communication. In the research reported here, ninety-five undergraduates completed a body in the crowd task analogous to the face in the crowd task, to examine whether attentional biases for threat existed for schematic body postures. Participants demonstrated faster detection of threat. A discrepant angry posture in a neutral crowd was identified quicker than a discrepant happy posture in a neutral crowd. This effect was pronounced for individuals with higher self-reported levels of trait anxiety. Results also demonstrated evidence of delayed disengagement from threat. Individuals were slower (i.e., more distracted) by identical crowds of angry postures rather than happy or neutral crowds and were slower to detect a discrepant neutral posture among an angry crowd than neutral among a happy crowd. These findings are the first to establish threat biases using body postures in a visual search paradigm. The results are in accordance with previous research using schematic face stimuli. Theoretical and practical implications are discussed.

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Year:  2011        PMID: 21547770     DOI: 10.1080/02699931.2010.495881

Source DB:  PubMed          Journal:  Cogn Emot        ISSN: 0269-9931


  4 in total

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Review 3.  Negative and Positive Bias for Emotional Faces: Evidence from the Attention and Working Memory Paradigms.

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Journal:  Neural Plast       Date:  2021-05-27       Impact factor: 3.599

4.  Emotional body-word conflict evokes enhanced n450 and slow potential.

Authors:  Jianling Ma; Chang Liu; Xin Zhong; Lu Wang; Xu Chen
Journal:  PLoS One       Date:  2014-05-12       Impact factor: 3.240

  4 in total

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