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Jones, Alex L.

doi:10.31234/osf.io/dpmzq

Cited by 4 publications

(4 citation statements)

References 60 publications

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“…There is an ever-increasing trend to use artificially constructed faces in psychological research, but the current research shows that there is still an important role for real faces. This also reinforces the importance of effective controls when artificially manipulating faces to prevent perceptual biases (see also, Jones, 2018b;Windhager, Bookstein, Mueller, Zunner, Kirchengast, & Schaefer, 2018).…”

Section: Predicting Facial Attractiveness Linearly and Quadraticallysupporting

confidence: 67%

Exploring distinctiveness, attractiveness and sexual dimorphism in actualized face-spaces

Catz

Lewis

2020

Visual Cognition

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The multi-dimensional face-space metaphor has been a powerful explanatory force in face processing. Here, its predictive powers are considered for ratings of attractiveness, distinctiveness and sexual dimorphism using two different actualizations of face-space.One face-space was based on similarity ratings between pairs of faces and the other on facial feature eccentricity, both based on the same set of 200 faces. The two models both gave similar insights into the range of properties tested. Distinctive faces were located further from the center of these multi-dimensional face-spaces than typical faces. Attractiveness of males was linked to averageness within these models whereas for females, averageness had little effect on their attractiveness. Femininity was a better predictor of female face attractiveness, but masculinity showed a curvilinear relationship with the attractiveness of male faces. Together, these findings demonstrate the usefulness of the face-space metaphor in exploring ideas of the distinctiveness, attractiveness and the sexual dimorphism of faces.Exploring distinctiveness, attractiveness and sexual dimorphism in actualized face-spaces.Philosophers, writers and artists have been interested in human faces since ancient times (Wilmer, 2017) and it is still one of the main topics of research in cognitive psychology.Human faces contain a great amount of information including gender, mood, age, ethnicity, attention, and, in particular, the identity of its owner (Bruce & Young, 1986).Faces are encoded on the basis of mental schema which develops through life by exposure (Brennan,

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Section: Predicting Facial Attractiveness Linearly and Quadraticallysupporting

confidence: 67%

Exploring distinctiveness, attractiveness and sexual dimorphism in actualized face-spaces

Catz

Lewis

2020

Visual Cognition

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show abstract

“…First, many facial characteristics are correlated, making it difficult to isolate their unique effects (A. L. Jones, 2019). For example, resemblances to emotional expressions are correlated with a variety of other features such as fWHR (Deska et al, 2018), babyfacedness (Sacco & Hugenberg, 2009), and race (Bijlstra et al, 2014).…”

Section: The Importance Of Different Facial Characteristicsmentioning

confidence: 99%

Which Facial Features Are Central in Impression Formation?

Jaeger

Jones

2021

Social Psychological and Personality Science

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Which facial characteristics do people rely on when forming personality impressions? Previous research has uncovered an array of facial features that influence people’s impressions. Even though some (classes of) features, such as resemblances to emotional expressions or facial width-to-height ratio (fWHR), play a central role in theories of social perception, their relative importance in impression formation remains unclear. Here, we model faces along a wide range of theoretically important dimensions and use machine learning techniques to test how well 28 features predict impressions of trustworthiness and dominance in a diverse set of 597 faces. In line with overgeneralization theory, emotion resemblances were most predictive of both traits. Other features that have received a lot of attention in the literature, such as fWHR, were relatively uninformative. Our results highlight the importance of modeling faces along a wide range of dimensions to elucidate their relative importance in impression formation.

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“…First, many facial characteristics are correlated, making it difficult to isolate their unique effects (A. L. Jones, 2019). For example, resemblances to emotional expressions are correlated with a variety of other features such as facial width-to-height ratio (Deska et al, 2018), babyfacedness (Sacco & Hugenberg, 2009), and race (Bijlstra et al, 2014).…”

Section: The Importance Of Different Facial Characteristicsmentioning

confidence: 99%

Which facial features are central in impression formation?

Jaeger¹,

Jones²

2020

Preprint

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Which facial characteristics do people rely on when forming personality impressions from faces? Previous research has uncovered an array of facial features that influence people’s impressions. Even though some (classes of) features, such as facial width-to-height ratio or resemblances to emotional expressions, play a central role in theories of social perception, their relative importance in impression formation remains unclear. Here, we model faces along a wide range of theoretically important dimensions. We use machine learning to test how well 31 features predict impressions of trustworthiness and dominance in a diverse set of 597 faces. In line with overgeneralization theory, emotion resemblances were most predictive of both traits. Other features that have received a lot of attention in the literature, such as facial width-to-height ratio, were relatively uninformative. Our results highlight the importance of modeling faces along a wide range of dimensions to elucidate their relative importance in impression formation.

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Pre-print

Cited by 4 publications

References 60 publications

Exploring distinctiveness, attractiveness and sexual dimorphism in actualized face-spaces

Exploring distinctiveness, attractiveness and sexual dimorphism in actualized face-spaces

Which Facial Features Are Central in Impression Formation?

Which facial features are central in impression formation?

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