2014
DOI: 10.1007/s12144-014-9244-3
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Once Upon a Face: the Effect of Eye Size, Observer and Stimulus Gender on Impression Formation

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Cited by 10 publications
(5 citation statements)
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References 36 publications
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“…It is difficult to understand why gender seemed to impact several self-perception dimensions in this context. Previous research on face perception highlighted that an effect of eye size alteration was only significant for female participants [7], which is in line with our results and may suggest that women are more sensitive to change in their eyes. The fact that women are more used to Snapchat filters than men (in 2021, the percentage of women using SnapChat worldwide is of 57,4% and for 40,9% of men 5 ) may have impacted the way they perceive themselves through them.…”
Section: Influence Of Gendersupporting
confidence: 92%
“…It is difficult to understand why gender seemed to impact several self-perception dimensions in this context. Previous research on face perception highlighted that an effect of eye size alteration was only significant for female participants [7], which is in line with our results and may suggest that women are more sensitive to change in their eyes. The fact that women are more used to Snapchat filters than men (in 2021, the percentage of women using SnapChat worldwide is of 57,4% and for 40,9% of men 5 ) may have impacted the way they perceive themselves through them.…”
Section: Influence Of Gendersupporting
confidence: 92%
“…Baby-faced adults (particularly with larger eyes) are usually believed to have more socially desirable traits: they are considered more attractive and sociable (Cunningham, Roberts, Barbee, Druen, & Wu,1995;Geldart et al, 1999;Gonçalves et al, 2012aGonçalves et al, , 2012bGonçalves et al, , 2014Pettijohn & Tesser, 2005), honest, caring, empathetic, and intelligent (Atoum & AlSimadi, 2000;Paunonen, Ewan, Erathy, Lefave, & Goldberg, 1999). However, the effect of eye size on rape perception is not clearly defined.…”
Section: From Physical Appearance To Eye Sizementioning
confidence: 99%
“…14), along with single- and multiple-feature variation15. Although these approaches proved productive, information about natural variation and covariation of the features could not be included and, in spite of modern software and feature manipulations (e.g., refs 16,17) cannot be retrieved. By distinguishing between local and global variation, the GMM approach presented in this paper supersedes such testing of isolated single features.…”
mentioning
confidence: 99%