There has been much research on sex differences in the ability to recognise facial expressions of emotions, with results generally showing a female advantage in reading emotional expressions from the face. Therefore, little is known about how expression intensity and dynamic stimuli might affect the commonly reported female advantage in facial emotion recognition. Overall, females showed more accurate facial emotion recognition compared to males and were faster in correctly recognising facial emotions. The female advantage in reading expressions from the faces of others was unaffected by expression intensity levels and emotion categories used in the study.
A large-scale analysis of sex differences in facial expressions
Negative social evaluations represent social threats and elicit negative emotions such as anger or fear. Positive social evaluations, by contrast, may increase self-esteem and generate positive emotions such as happiness and pride. Gender differences are likely to shape both the perception and expression of positive and negative social evaluations. Yet, current knowledge is limited by a reliance on studies that used static images of individual expressers with limited external validity. Furthermore, only few studies considered gender differences on both the expresser and perceiver side. The present study approached these limitations by utilizing a naturalistic stimulus set displaying nine males and nine females expressers delivering social evaluative sentences to 32 female and 26 male participants perceivers.
Recent studies have shown that facial expression influences judgments of facial impression. Much of the evidence indicates that women are better in identifying various displays of facial affect. It is expected that this gender difference in the recognition of facial expressions will affect the processing of facial impression judgments.
The aim of this research was to determine a reliable method for quantitatively evaluating the facial expressions of children and adults in order to assess their dependence on age and gender. This study evaluated 80 healthy subjects divided into four groups: 20 girls mean age A video was used to record each individual executing three facial expressions: a rest pose, a lip pucker, and a posed smile. All distances measured in the posed smile and lip pucker were expressed as a percentage change from the rest pose.