Abstract:Faces are one of the key ways that we obtain social information about others. They allow people to identify individuals, understand conversational cues, and make judgements about other’s mental states. When the COVID-19 pandemic hit the United States, widespread mask-wearing practices were implemented, causing a shift in the way Americans typically interact. This introduction of masks into social exchanges posed a potential challenge – how would people make these important inferences about others when a large … Show more
“…Similarly, previous studies showed that individual differences in mask exposure influenced the use of visual cues from the face. A longitudinal study (two controlled experiments with 6 months apart) assessed the perceived emotional similarity between a pair of unmasked faces (Barrick et al, 2020). As mask exposure increases, there is an increase in the eye cue use.…”
Section: Discussionmentioning
confidence: 99%
“…An examination of eye movements showed that while Western individuals' eye fixations were scattered evenly across the faces, Eastern individuals mainly focused on the eyes (Jack et al, 2009). In addition, there is research that demonstrates that as individuals' exposure to masks increases, they actually get better at reading emotions (Barrick et al, 2020). Hence, timing of execution of these studies may matter.…”
Previous research has shown that face masks restrain the ability to perceive social information and readability of emotions. These studies mostly explored the effect of standard medical, often white masks on emotion recognition. However, in reality, many individuals prefer masks with different styles. We investigated whether the appearance of the mask (pattern-angular vs. curvy and color-black vs. white) affected the recognition of emotional states. Participants were asked to identify the emotions on faces covered by masks with different designs. The presence of masks impeded emotional recognition, dropping the accuracy and confidence and increasing reaction times. There were no main effects of angularity vs. curvature or color on emotion recognition, which suggests that mask design may not impair the recognition beyond the effect of mere mask wearing. Besides, we found relationships between individual difference variables such as mask wearing attitudes, mask design preferences, individual traits and emotional recognition. The majority of participants demonstrated positive attitudes towards mask wearing and preferred non-patterned black and white masks. Preferences for white masks were associated with better emotional recognition of masked faces. In contrast, those with negative attitudes towards masks showed lower performance in emotional recognition for masked faces, preferring patterned more than plain masks, perhaps viewing masks as a fashion item rather than a necessity. Moreover, preferences to wear patterned masks were negatively related to actual wearing masks indoors and perceived risks of COVID.
“…Similarly, previous studies showed that individual differences in mask exposure influenced the use of visual cues from the face. A longitudinal study (two controlled experiments with 6 months apart) assessed the perceived emotional similarity between a pair of unmasked faces (Barrick et al, 2020). As mask exposure increases, there is an increase in the eye cue use.…”
Section: Discussionmentioning
confidence: 99%
“…An examination of eye movements showed that while Western individuals' eye fixations were scattered evenly across the faces, Eastern individuals mainly focused on the eyes (Jack et al, 2009). In addition, there is research that demonstrates that as individuals' exposure to masks increases, they actually get better at reading emotions (Barrick et al, 2020). Hence, timing of execution of these studies may matter.…”
Previous research has shown that face masks restrain the ability to perceive social information and readability of emotions. These studies mostly explored the effect of standard medical, often white masks on emotion recognition. However, in reality, many individuals prefer masks with different styles. We investigated whether the appearance of the mask (pattern-angular vs. curvy and color-black vs. white) affected the recognition of emotional states. Participants were asked to identify the emotions on faces covered by masks with different designs. The presence of masks impeded emotional recognition, dropping the accuracy and confidence and increasing reaction times. There were no main effects of angularity vs. curvature or color on emotion recognition, which suggests that mask design may not impair the recognition beyond the effect of mere mask wearing. Besides, we found relationships between individual difference variables such as mask wearing attitudes, mask design preferences, individual traits and emotional recognition. The majority of participants demonstrated positive attitudes towards mask wearing and preferred non-patterned black and white masks. Preferences for white masks were associated with better emotional recognition of masked faces. In contrast, those with negative attitudes towards masks showed lower performance in emotional recognition for masked faces, preferring patterned more than plain masks, perhaps viewing masks as a fashion item rather than a necessity. Moreover, preferences to wear patterned masks were negatively related to actual wearing masks indoors and perceived risks of COVID.
“…Thus, when encountering a facial expression of forward facing, direct eye-gaze fear, the typically encountered signature of that expression is less cogent, leading to diminished detection accuracy (Adams & Kleck, 2003;Im et al, 2017;Sato et al, 2004). The effects of introducing noise to facial expression decoding can also be seen in recent research that suggests wearing a mask (hiding signal from the mouth) diminishes individuals' reliance on arousal cues (Barrick et al, 2020). Future research should investigate how obfuscation of face parts, gaze and head positioning influence accuracy of emotional expression identification when only low or high spatial frequency information is available.…”
Section: Limitations and Future Directionsmentioning
The accurate detection of emotion is critical to effectively navigating our social lives. However, it is not clear how distinct types of visual information afford the accurate perception of others’ emotion states. Here, we sought to examine the influence of different spatial frequency visual information on emotion categorization, and whether distinctive emotional dimensions (valence and arousal) are differentially influenced by specific spatial frequency content. Across one pilot and two experiments (N = 603), we tested whether emotional facial expressions that vary in valence, arousal, and motivational direction differ in accuracy of categorization as a function of low, intact, and high spatial frequency band information. Overall, we found a general decrease in the breadth of emotional expressions for filtered images but did not see a decrease in accuracy of categorization for the positive emotion, joy. Together, these results suggest that spatial frequency information influences perception of emotional expressions that differ in valence, arousal, and motivational direction.
“…Some emotional expressions including happy, sad, and angry are sometimes not perceived at all under a mask, with the face being interpreted instead as neutral ( Carbon, 2020 ). However, consistently engaging in social interaction with masked individuals is already leading to behavioral adaptation in Americans, with those who have more frequent masked interactions increasingly using cues for visual emotion information from the eyes ( Barrick et al., 2020 ).…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.