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Experimental Psychology (Russia)
2021. Vol. 14, no. 3, 91–103
https://doi.org/10.17759/exppsy.2021140307
ISSN: 2072-7593 / 2311-7036 (online)

Features of Recognizing Facial Expressions in Short Time Intervals: the Level of Anxiety and Professional Affiliation

 
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Abstract

The aim of this study was to investigate how differences in anxiety levels relate to selective sensitivity to basic emotions (emotional bias) with minimal exposure time. Masked pictures of happiness, angry, fear, disgust, surprise, sad and neutral facial expressions were presented to 298 men at exposure times in intervals 16ms, 34ms, 49ms, 66ms. After presenting each image, the participants chose on the screen by pressing a key the name of an emotion suitable, in their opinion, Taylor Manifest Anxiety Scale (TMAS) was used to measure of trait anxiety. There were subjects of various professional groups (firefighters, military, athletes, psychologists, mathematicians). We found that Selective sensitivity to basic emotions at exposure times up to 49ms is determined by internal interpolation of the perceiver’s personality. Highly anxious men are unconsciously more likely to choose fear, anger and disgust. The increase in anxiety are accompanied by decreased preference of anger and happiness. Low-anxious men unconsciously ignore fear, anger, disgust, and preferred neutral face. Men of different professions are differed in the level of anxiety and emotional bias in basic emotions. Firefighters have the lowest level of anxiety, mathematics have the highest.

General Information

Keywords: selective sensitivity to basic emotions, emotional bias, microgenesis of perception, Ekman’s JACFEE Set of Stimuli, anxiety

Journal rubric: Psychology of Perception

OpenAlex citations: 0

OpenAlex trends: Neural and Behavioral Psychology Studies, Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes, Technology and Human Factors in Education and Health

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Number of citations: 0

Topics

Neural and Behavioral Psychology Studies

This cluster of papers explores the neural mechanisms underlying cognitive control, decision making, executive functions, and emotion regulation. It covers topics such as prefrontal cortex function, attentional networks, reward processing, and the development of cognitive control in the adolescent brain.

Number of works: 87930  |  Total number of citations: 2942326

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Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes

This cluster of papers focuses on the cognitive mechanisms underlying anxiety disorders, including attentional bias, rumination, and emotion regulation. It also explores the efficacy of cognitive-behavioral therapy and the neurobiological correlates of anxiety and depression. The papers cover a wide range of topics related to anxiety disorders, such as social phobia, generalized anxiety disorder, and depressive symptoms.

Number of works: 62863  |  Total number of citations: 1985409

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Technology and Human Factors in Education and Health

This cluster of papers explores the future of personalized medicine in healthcare, focusing on topics such as artificial intelligence, healthcare technology, medical innovation, ergonomics, biomedical signal analysis, digital health, cyber-physical systems, healthcare automation, and clinical decision support. The papers cover a wide range of interdisciplinary research related to advancing personalized medical treatments and technologies.

Number of works: 27270  |  Total number of citations: 81913

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Work details in OpenAlex

Article type: scientific article

DOI: https://doi.org/10.17759/exppsy.2021140307

Funding. The reported study was funded by Russian Foundation for Basic Research (RFBR), project number 18-013-00828.

Published

For citation: Khrisanfova, L.A. (2021). Features of Recognizing Facial Expressions in Short Time Intervals: the Level of Anxiety and Professional Affiliation. Experimental Psychology (Russia), 14(3), 91–103. (In Russ.). https://doi.org/10.17759/exppsy.2021140307

© Khrisanfova L.A., 2021

License: CC BY-NC 4.0

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Information About the Authors

Lyudmila A. Khrisanfova, Candidate of Science (Psychology), Leading Research Associate, Associate Professor, Chair of Psychology of Personality Development, Department of Social Sciences; Nizhny Novgorod, Lobachevsky State University of Nizhny Novgorod (UNN), Associate Employee of the Laboratory of Cognitive and Mathematical Psychology, Institute of Psychology, Russian Academy of Sciences, Moscow, Russian Federation, ORCID: https://orcid.org/0000-0001-6697-7939, e-mail: l.hri@mail.ru

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