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1.
Journal of Experimental Social Psychology ; 103:1-13, 2022.
Article in English | APA PsycInfo | ID: covidwho-2276998

ABSTRACT

The accurate and swift decoding of emotional expressions from faces is fundamental for social communication. Yet, emotion perception is prone to error. For example, the ease with which emotions are perceived is affected by stereotypes (Bijlstra, Holland, & Wigboldus, 2010). Moreover, the introduction of face masks mandates in response to the Covid-19 pandemic additionally impedes accurate emotion perception by introducing ambiguity to the emotion perception process. Predictive coding frameworks of visual perception predict that in such situations of increased ambiguity of the sensory input (i.e., faces with masks), people increasingly rely on their prior beliefs (i.e., their stereotypes). Using specification curve analysis, we tested this prediction across two experiments, featuring different social categories (Study 1: Gender;Study 2: Ethnicity) and corresponding emotion stereotypes. We found no evidence that face masks increase reliance on prior stereotypes. In contrast, in Study 1 (but not in Study 2), we found preliminary evidence that face masks decrease reliance on prior stereotypes. We discuss these findings in relation to predictive coding frameworks and dual process models and emphasize the need for up-to-date analytic methods in social cognition research. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

2.
Sci Rep ; 13(1): 4637, 2023 03 21.
Article in English | MEDLINE | ID: covidwho-2262696

ABSTRACT

People's natural tendencies to either approach or avoid different stimuli in their environment are considered fundamental motivators of human behaviour. There is a wealth of research exploring how changes in approach and avoidance motivational orientations impact behaviour with consequences for wellbeing. However, research has seldom explored this relationship in reverse. The COVID-19 pandemic offered a unique opportunity to explore whether widespread changes in social behaviour are associated with changes in automatic approach-avoidance tendencies over time. We gathered online survey data on people's adherence to 7 of the prescribed social restrictions set out by the UK government and people's automatic approach-avoidance tendencies in response to different stimuli (sad/happy faces and social scenes) at three time points during the COVID-19 pandemic. Reduced-overall-interaction (digital and in person) was found to be significantly associated with faster avoidance relative to approach of sad faces. The results suggest that automatic approach-avoidance tendencies may function to protect people against the typically negative experience of reduced social interaction, with important implications for understanding public resilience during times of crisis, and beyond.


Subject(s)
COVID-19 , Social Interaction , Humans , Pandemics , Avoidance Learning/physiology , COVID-19/epidemiology , Social Behavior
3.
Cogn Res Princ Implic ; 7(1): 83, 2022 09 05.
Article in English | MEDLINE | ID: covidwho-2109074

ABSTRACT

Face masks are now worn frequently to reduce the spreading of the SARS-CoV-2 virus. Their health benefits are undisputable, but covering the lower half of one's face also makes it harder for others to recognize facial expressions of emotions. Three experiments were conducted to determine how strongly the recognition of different facial expressions is impaired by masks, and which emotions are confused with each other. In each experiment, participants had to recognize facial expressions of happiness, sadness, anger, surprise, fear, and disgust, as well as a neutral expression, displayed by male and female actors of the Radboud Faces Database. On half of the 168 trials, the lower part of the face was covered by a face mask. In all experiments, facial emotion recognition (FER) was about 20% worse for masked faces than for unmasked ones (68% correct vs. 88%). The impairment was largest for disgust, followed by fear, surprise, sadness, and happiness. It was not significant for anger and the neutral expression. As predicted, participants frequently confused emotions that share activation of the visible muscles in the upper half of the face. In addition, they displayed response biases in these confusions: They frequently misinterpreted disgust as anger, fear as surprise, and sadness as neutral, whereas the opposite confusions were less frequent. We conclude that face masks do indeed cause a marked impairment of FER and that a person perceived as angry, surprised, or neutral may actually be disgusted, fearful, or sad, respectively. This may lead to misunderstandings, confusions, and inadequate reactions by the perceivers.


Subject(s)
COVID-19 , Facial Recognition , Confusion , Emotions/physiology , Facial Expression , Female , Humans , Male , Masks , SARS-CoV-2
4.
Journal of Experimental Social Psychology ; 103:104394, 2022.
Article in English | ScienceDirect | ID: covidwho-1966841

ABSTRACT

The accurate and swift decoding of emotional expressions from faces is fundamental for social communication. Yet, emotion perception is prone to error. For example, the ease with which emotions are perceived is affected by stereotypes (Bijlstra, Holland, & Wigboldus, 2010). Moreover, the introduction of face masks mandates in response to the Covid-19 pandemic additionally impedes accurate emotion perception by introducing ambiguity to the emotion perception process. Predictive coding frameworks of visual perception predict that in such situations of increased ambiguity of the sensory input (i.e., faces with masks), people increasingly rely on their prior beliefs (i.e., their stereotypes). Using specification curve analysis, we tested this prediction across two experiments, featuring different social categories (Study 1: Gender;Study 2: Ethnicity) and corresponding emotion stereotypes. We found no evidence that face masks increase reliance on prior stereotypes. In contrast, in Study 1 (but not in Study 2), we found preliminary evidence that face masks decrease reliance on prior stereotypes. We discuss these findings in relation to predictive coding frameworks and dual process models and emphasize the need for up-to-date analytic methods in social cognition research.

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