Facial Skin Smoothness as an Indicator of Perceived Trustworthiness and Related Traits

Tsankova, Elena; Kappas, Arvid

doi:10.1177/0301006615616748

Cited by 35 publications

(36 citation statements)

References 20 publications

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“…Materials. Similar to Tsankova and Kappas (2016), we used photos from the Radboud Faces Database (Langner et al, 2010). We selected 10 male and 10 female individuals with a frontal gaze and a neutral facial expression.…”

Section: Methodsmentioning

confidence: 99%

Effects of Facial Skin Smoothness and Blemishes on Trait Impressions

et al. 2018

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People make trait inferences based on facial appearance, and these inferences guide social approach and avoidance. Here, we investigate the effects of textural features on trait impressions from faces. In contrast to previous work, which exclusively manipulated skin smoothness, we manipulated smoothness and the presence of skin blemishes independently (Study 1) and orthogonally (Study 2). We hypothesized that people are particularly sensitive to skin blemishes because blemishes potentially indicate poor health and the presence of an infectious disease. We therefore predicted that the negative effect of blemished skin is stronger than the positive effect of smoothed skin. The results of both studies are in line with this reasoning. Across ratings of trustworthiness, competence, maturity, attractiveness, and health, the negative influence of skin blemishes was stronger and more consistent than the positive influence of skin smoothness (Study 1). Moreover, the presence of skin blemishes diminished the positive effect of skin smoothness on attractiveness ratings (Study 2). In sum, both facial skin blemishes and facial skin smoothness influence trait impression, but the negative effect of blemished skin is larger and more salient than the positive effect of smooth skin.

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Section: Methodsmentioning

confidence: 99%

Effects of Facial Skin Smoothness and Blemishes on Trait Impressions

et al. 2018

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“…Given the close matching of shape properties across our identity-matched real and artificial faces, it may be the case that some aspects of skin pigmentation and related surface properties are disrupted when faces are rendered with artificial appearance, and these must carry important information for social evaluation. Skin smoothness, for example, influences observers' evaluation of some social variables [31], and computer-generated faces frequently appear to have smoother skin than real face images. In general, these basic results comparing the social evaluation of real faces and artificial faces suggest a number of interesting avenues to explore, particularly with regard to understanding the visual information that leads artificial faces to receive different social evaluations than real ones.…”

Section: Discussionmentioning

confidence: 99%

Using social face-space to estimate social variables in real and artificial faces

Balas¹,

Thrash²

2019

Preprint

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Observers estimate a range of social characteristics from images of human faces. An important unifying framework for these judgments is the observation that a low-dimensional social face-space based on perceived valence and dominance captures most of the variance across a wide range of social evaluation judgments. However, it is not known whether or not this low-dimensional space can be used to infer the outcome of new social judgments. Further, the extent to which such social inference may differ across real and computer-generated faces is also unknown. We addess both of these issues by recovering valence/dominance axes from social judgments made to real and artificial faces, then attempt to use these coordinates to predict independent social judgment data obtained from new human observers. We find that above-chance performance can be achieved, though performance appears to be better with artificial faces than real ones.

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“…Considering these previous works, we decided to consider the internal facial features (eyebrows, eyes, nose, and mouth) and the jaw contour in this study. Although other features have effect on faces perception, e.g., hair and facial hair, skin tone, and facial proportions [14,[63][64][65][66][67], we limited our study to those features that have a main effect on face perception, rather than considering features that may vary from time to time like hair (people can get a haircut). In addition to these five facial features, the relative positions between them will be considered.…”

Section: A Genetic Algorithm To Generate Facesmentioning

confidence: 99%

Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces

et al. 2018

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Human faces play a central role in our lives. Thanks to our behavioural capacity to perceive faces, how a face looks in a painting, a movie, or an advertisement can dramatically influence what we feel about them and what emotions are elicited. Facial information is processed by our brain in such a way that we immediately make judgements like attractiveness or masculinity or interpret personality traits or moods of other people. Due to the importance of appearance-driven judgements of faces, this has become a major focus not only for psychological research, but for neuroscientists, artists, engineers, and software developers. New technologies are now able to create realistic looking synthetic faces that are used in arts, online activities, advertisement, or movies. However, there is not a method to generate virtual faces that convey the desired sensations to the observers. In this work, we present a genetic algorithm based procedure to create realistic faces combining facial features in the adequate relative positions. A model of how observers will perceive a face based on its features’ appearances and relative positions was developed and used as the fitness function of the algorithm. The model is able to predict 15 facial social traits related to aesthetic, moods, and personality. The proposed procedure was validated comparing its results with the opinion of human observers. This procedure is useful not only for creating characters with artistic purposes, but also for online activities, advertising, surgery, or criminology.

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Facial Skin Smoothness as an Indicator of Perceived Trustworthiness and Related Traits

Cited by 35 publications

References 20 publications

Effects of Facial Skin Smoothness and Blemishes on Trait Impressions

Effects of Facial Skin Smoothness and Blemishes on Trait Impressions

Using social face-space to estimate social variables in real and artificial faces

Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces

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