Faced with exclusion: Perceived facial warmth and competence influence moral judgments of social exclusion

Rudert, Selma Carolin; Reutner, Leonie; Greifeneder, Rainer; Walker, Mirella

doi:10.1016/j.jesp.2016.06.005

Cited by 57 publications

(53 citation statements)

References 45 publications

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“…This impact of facial masculinity/femininity persisted even though much more distinct and likewise visibly perceived information, that is, gender category information was provided. The finding that facial features strongly impacted personality ascriptions fits well into existing literature showing that people base diverse social judgments of others on subtle facial information, for example, about sexual orientation [49], political orientation [50], morality [51], criminality [52], or central personality dimensions [21]. …”

Section: Discussionsupporting

confidence: 78%

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Caring or daring? Exploring the impact of facial masculinity/femininity and gender category information on first impressions

Walker

Wänke

2017

PLoS ONE

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In two studies we disentangled and systematically investigated the impact of subtle facial cues to masculinity/femininity and gender category information on first impressions. Participants judged the same unambiguously male and female target persons–either with masculine or feminine facial features slightly enhanced–regarding stereotypically masculine (i.e., competence) and feminine (i.e., warmth) personality traits. Results of both studies showed a strong effect of facial masculinity/femininity: Masculine-looking persons were seen as colder and more competent than feminine-looking persons. This effect of facial masculinity/femininity was not only found for typical (i.e., masculine-looking men and feminine-looking women) and atypical (i.e., masculine-looking women and feminine-looking men) category members; it was even found to be more pronounced for atypical than for typical category members. This finding reveals that comparing atypical members to the group prototype results in pronounced effects of facial masculinity/femininity. These contrast effects for atypical members predominate assimilation effects for typical members. Intriguingly, very subtle facial cues to masculinity/femininity strongly guide first impressions and may have more impact than the gender category.

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Section: Discussionsupporting

confidence: 78%

“…So, exactly the same sort and amount of information was manipulated in all faces. This method has been shown to generalize across participants and faces before [16,21,51,52]. Secondly, the statistical method we applied to analyze our data, namely the linear mixed models analyses included random effects for participants and faces.…”

Section: Discussionmentioning

confidence: 99%

Caring or daring? Exploring the impact of facial masculinity/femininity and gender category information on first impressions

Walker

Wänke

2017

PLoS ONE

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“…The outcomes of machine learning based models will be in some way a reflect of the learning data they use, i.e., in the case of first impression analysis, the labels provided by the annotators. The validity of such data can be very subjective due to several factors, such as cultural [28], [29], social [21], [30], contextual [20], gender [31], [32], appearance [33], etc., which makes the research and development on personality perception a very challenging task.…”

Section: How Challenging and Subjective Can Be Apparent Personality Tmentioning

confidence: 99%

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Jacques

Güçlütürk

Pérez

et al. 2022

IEEE Trans. Affective Comput.

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Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point of view, by far speech and text have been the most considered cues of information for analyzing personality. However, recently there has been an increasing interest from the computer vision community in analyzing personality from visual data. Recent computer vision approaches are able to accurately analyze human faces, body postures and behaviors, and use these information to infer apparent personality traits. Because of the overwhelming research interest in this topic, and of the potential impact that this sort of methods could have in society, we present in this paper an up-to-date review of existing vision-based approaches for apparent personality trait recognition. We describe seminal and cutting edge works on the subject, discussing and comparing their distinctive features and limitations. Future venues of research in the field are identified and discussed. Furthermore, aspects on the subjectivity in data labeling/evaluation, as well as current datasets and challenges organized to push the research on the field are reviewed.

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“…We aimed for a minimum sample of 160 participants, which would provide manipulated facial appearance and followed a similar experimental design (Rudert, Reutner, Greifeneder, & Walker, 2017). We recruited 204 MTurk workers.…”

Section: Participantsmentioning

confidence: 99%

Effects of facial skin smoothness and blemishes on trait impressions

Jaeger¹,

Wagemans²,

Evans³

et al. 2017

Preprint

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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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Faced with exclusion: Perceived facial warmth and competence influence moral judgments of social exclusion

Cited by 57 publications

References 45 publications

Caring or daring? Exploring the impact of facial masculinity/femininity and gender category information on first impressions

Caring or daring? Exploring the impact of facial masculinity/femininity and gender category information on first impressions

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Effects of facial skin smoothness and blemishes on trait impressions

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