December 2022
Volume 22, Issue 14
Open Access
Vision Sciences Society Annual Meeting Abstract  |   December 2022
The relationship between emotional valence, anxiety, and attentional bias
Author Affiliations & Notes
  • Helena P. Bachmann
    Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD
  • Shruti Japee
    Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD
  • Elisha P. Merriam
    Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD
  • Tina T. Liu
    Laboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD
  • Footnotes
    Acknowledgements  This work was supported by the Intramural Research Program of the National Institute of Mental Health (ZIAMH002966; NCT00001360).
Journal of Vision December 2022, Vol.22, 3721. doi:https://doi.org/10.1167/jov.22.14.3721
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      Helena P. Bachmann, Shruti Japee, Elisha P. Merriam, Tina T. Liu; The relationship between emotional valence, anxiety, and attentional bias. Journal of Vision 2022;22(14):3721. https://doi.org/10.1167/jov.22.14.3721.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Emotional expressions are an evolutionarily conserved means of social communication. It is well-established that emotional stimuli capture attention more easily than neutral stimuli, a phenomenon often referred to as “emotional attention”. However, contradictory findings of the “threat superiority effect” and the “happy face advantage” provoke questions about how emotional valence biases attentional capture. In addition, an enduring attentional bias toward threat is commonly observed in highly anxious individuals, but the exact type of anxiety—state or trait—that modulates the attentional bias for threat has not been agreed upon. To understand how the valence of emotional faces affects attentional capture and how the type of anxiety modulates emotional attention, we preregistered and conducted an online visual search experiment via Amazon’s Mechanical Turk. Participants (n=154) searched for a unique emotional face (happy or angry) among three or seven distractor faces that were closely cropped and balanced for low-level image statistics. Consistent with the “happy face advantage”, we found an attentional bias for positive over negative valence in visual search, robust at both set sizes, in accuracy, response time, and inverse efficiency score. We also found that the anxiety ratings from the State-Trait Anxiety Inventory (STAI)—both state and trait anxiety—correlated positively with search accuracy for angry targets, but negatively with search accuracy for happy targets. Given these opposing patterns of correlation, we further computed a valence index of emotional attention as a difference in search accuracy between angry and happy targets. This valence index correlated strongly with anxiety, suggesting that participants with higher anxiety showed more threat-related attentional bias and less attentional bias to stimuli with positive valence. Together, our findings reveal the role of emotional valence in attentional capture and unveil a distinct impact of anxiety on attention to positive and threatening stimuli.

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