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Emotion
Article . 2021 . Peer-reviewed
Data sources: Crossref
Emotion
Article . 2021
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Instructed threat enhances threat perception in faces.

Authors: Fatih C. Kavcıoğlu; Florian Bublatzky; Andre Pittig; Georg W. Alpers;

Instructed threat enhances threat perception in faces.

Abstract

Anxiety can boost the detection of potential threats in many ways. There is evidence that one and the same facial expression can be perceived differently depending on whether it is seen in a neutral or in a threatening situation. The present study investigated how aversive anticipation influences the accuracy of facial emotion recognition and the perceived emotional intensity of faces that had their objective emotional intensity manipulated. Forty-three participants categorized and rated the intensity of morphed faces (20%, 40%, 60%, and 80%) of fearful, angry, and happy expressions. Differently colored picture frames indicated either threat of electric shock or safety. Threat of shock enhanced the categorization accuracy specifically for fearful faces. During threat, 80% fearful and happy faces, and all levels of angry faces (20%-80%) were rated as more intense. In addition, we found that more trait-anxious individuals more frequently erroneously categorized neutral faces as fearful. Thus, state anxiety enhanced accurate fear categorization and boosted the perceived intensity of emotional faces, whereas trait anxiety led to a biased threat perception in nonthreatening faces. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Country
Germany
Related Organizations
Keywords

Adult, Male, Adolescent, Emotions, 150, Anger, Anxiety, Healthy Volunteers, Facial Expression, Young Adult, Humans, Female, Facial Recognition

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Average
Top 10%
Green