Which Facial Features Are Central in Impression Formation?

Jaeger, Bastian; Jones, Alex L.

doi:10.1177/19485506211034979

Cited by 23 publications

(32 citation statements)

References 51 publications

(100 reference statements)

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“…To further investigate the role of different classes of colour characteristics in predicting the preference of real human faces, and identify the most important colour predictors, techniques from machine learning were implemented in the modelling process. Similar approaches can be found in previous studies 38 , 39 .…”

Section: Methodssupporting

confidence: 72%

“…To further investigate the role of the three different classes of colour characteristics (average/local skin colour, skin colour variation, and facial colour contrast) in predicting the preference of real human faces, and identify their relative importance, techniques from machine learning were implemented, following previous studies 38 , 39 . We used cross-validated linear regression models (fivefold cross validation with 50 repeats) to compare the predictive power of the three different classes of facial colour characteristics.…”

Section: Resultsmentioning

confidence: 99%

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Different colour predictions of facial preference by Caucasian and Chinese observers

Xiao

Yang

et al. 2022

Sci Rep

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Facial colour characteristics convey vital personal information and influence social interactions and mate choices as contributing factors to perceived beauty, health, and age. How various colour characteristics affect facial preference and whether there are cultural differences are not fully understood. Here, we provide a useful and repeatable methodology for skin colour research based on a realistic skin model to investigate the effect of various facial colour characteristics on facial preference and compare the role of colour predictors in Caucasian (CA) and Chinese (CN) samples. Our results show that, although the average skin colour of facial areas plays a limited role, together with colour variation and contrast, there are stronger links between colour and facial preference than previously revealed. We also find large cultural differences in facial colour perceptions; Chinese observers tend to rely more heavily on colour and lightness cues to judge facial preference than Caucasian observers.

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Section: Methodssupporting

confidence: 72%

Section: Resultsmentioning

confidence: 99%

Different colour predictions of facial preference by Caucasian and Chinese observers

Xiao

Yang

et al. 2022

Sci Rep

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“…However, the dominant approach to characterizing judgments derived from faces and facial attributes involves drawing conclusions based on aggregated measures collected from disparate observers. For example, one highly replicable finding is that neutral faces that have more feminine attributes (e.g., lighter skin, rounded jawline) and appear happier are judged as more trustworthy (see, e.g., Oosterhof and Todorov, 2008 ; Jaeger and Jones, 2021 ). However, this observation is based on averaged judgments across both faces and raters (i.e., participants).…”

Section: Introductionmentioning

confidence: 99%

A data-driven, hyper-realistic method for visualizing individual mental representations of faces

2022

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Research in person and face perception has broadly focused on group-level consensus that individuals hold when making judgments of others (e.g., “X type of face looks trustworthy”). However, a growing body of research demonstrates that individual variation is larger than shared, stimulus-level variation for many social trait judgments. Despite this insight, little research to date has focused on building and explaining individual models of face perception. Studies and methodologies that have examined individual models are limited in what visualizations they can reliably produce to either noisy and blurry or computer avatar representations. Methods that produce low-fidelity visual representations inhibit generalizability by being clearly computer manipulated and produced. In the present work, we introduce a novel paradigm to visualize individual models of face judgments by leveraging state-of-the-art computer vision methods. Our proposed method can produce a set of photorealistic face images that correspond to an individual's mental representation of a specific attribute across a variety of attribute intensities. We provide a proof-of-concept study which examines perceived trustworthiness/untrustworthiness and masculinity/femininity. We close with a discussion of future work to substantiate our proposed method.

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“…Nevertheless, the literature remains rather mixed regarding an exclusive association of facial shape features to dominance judgments. While some studies found that facial shape features were relevant to trustworthiness impressions (Kleisner et al, 2013 ; Stirrat & Perrett, 2010 ), others – more directly focused on the relative contribution of facial features to both judgment dimensions – have found that facial shape was a stronger predictor of dominance impressions compared to trustworthiness impressions, which in turn were more strongly predicted by features resembling the expression of happiness (Jaeger & Jones, 2022 ).…”

mentioning

confidence: 99%

The effect of facial occlusion on facial impressions of trustworthiness and dominance

Oliveira

Garcia‐Marques

2022

Mem Cogn

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Recognizing the role that facial appearance plays in guiding social interactions, here we investigated how occlusions of the bottom-face region affect facial impressions of trustworthiness and dominance. Previous studies suggesting that different facial features impact inferences on these traits sustain the hypothesis that wearing a face mask will differently affect each trait inference. And specifically, that trustworthiness impressions will be more disrupted by this type of face occlusion than dominance impressions. In two studies, we addressed this possibility by occluding the bottom face region of faces that were previously shown to convey different levels of dominance and trustworthiness, and tested differences in the ability to discriminate between these trait levels across occlusion conditions. In Study 1 faces were occluded by a mask, and in Study 2 by a square image. In both studies, results showed that although facial occlusions generally reduced participants’ confidence on their trait judgments, the ability to discriminate facial trustworthiness was more strongly affected than the ability to discriminate facial dominance. Practical and theoretical implications of these findings are discussed.

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Which Facial Features Are Central in Impression Formation?

Cited by 23 publications

References 51 publications

Different colour predictions of facial preference by Caucasian and Chinese observers

Different colour predictions of facial preference by Caucasian and Chinese observers

A data-driven, hyper-realistic method for visualizing individual mental representations of faces

The effect of facial occlusion on facial impressions of trustworthiness and dominance

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