Humans seamlessly infer the expanse of personality traits from others' facial appearance. These facial impressions are highly intercorrelated within a structure known as "face trait space." Research has extensively documented the facial features that underlie face impressions, thus outlining a bottom-up fixed architecture of face impressions, which cannot account for important ways impressions vary across perceivers. Classic theory in impression formation emphasized that perceivers use their lay conceptual beliefs about how personality traits correlate to form initial trait impressions, for instance, where trustworthiness of a target may inform impressions of their intelligence to the extent one believes the two traits are related. This considered, we explore the possibility that this lay "conceptual trait space"-how perceivers believe personality traits correlate in others-plays a role in face impressions, tethering face impressions to one another, thus shaping face trait space. In study 1, we found that conceptual and face trait space explain considerable variance in each other. In study 2, we found that participants with stronger conceptual associations between two traits judged those traits more similarly in faces. Importantly, using a face image classification task, we found in study 3 that participants with stronger conceptual associations between two traits used more similar facial features to make those two face trait impressions. Together, these findings suggest lay beliefs of how personality traits correlate may underlie trait impressions, and thus face trait space. This implies face impressions are not only derived bottom up from facial features, but also shaped by our conceptual beliefs.

Ostracism, excluding and ignoring others, results from a variety of factors. Here, we investigate the effect of personality on the likelihood of becoming a target of ostracism. Theorizing that individuals low in conscientiousness or agreeableness are at risk of getting ostracized, we tested our hypotheses within five pre-registered studies: Four experiments investigating participants' willingness to ostracize targets characterized by different personality traits and a reverse correlation face modelling study where we determined and subsequently validated the stereotypical face of an ostracized person. A survey study within a representative German data panel further corroborated our findings. In line with our hypotheses, persons low in conscientiousness or agreeableness provoke more ostracism intentions (Studies 1, 2, and 4), are more likely to be actually ostracized by others (Study 3), represent the stereotype of an "ostracizable" person (Study 5), and report experiencing more ostracism (Study 6). Effects remained stable even after controlling for likeability of the target (Study 2 and 4). Moreover, being described as negative on one personality dimension could not be compensated by being described as positive on the other (Study 4). In exploratory analyses, we further investigated the effects of openness to experience, neuroticism and extraversion. In sum, we find evidence that personality affects the likelihood of becoming a target of ostracism, and that especially low agreeableness and conscientiousness represent risk factors.

This is a preprint of this manuscript, published at the Proceedings of the National Academy of Sciences of the United States of America (http://www.pnas.org/content/early/2018/08/22/1807222115), version dated July 30th, 2018 (date will be updated with preprint, old versions documented by OSF). Project data and analysis materials are available online: https://osf.io/z23kf/.

Self-enhancement refers to the phenomenon that individuals tend to have unrealistically positive self-views. Traditional measures of self-enhancement typically imply self-evaluations and reference values, such as evaluations by others or evaluations of the average other. Comparing individuals' self-evaluations with such reference values, however, bears risks. It is not evident that the reference values are more accurate than the self-evaluations and it is not possible to distinguish self-enhancers from individuals who are indeed superior to others. Here, we present two novel methods to measure self-enhancement that circumvent these problems by using participants' own faces as reference values.In Study 1 we systematically manipulate facial characteristics that have previously been found to impact perceptions of attractiveness, likability, and the Big Two personality dimensions in participants' faces and ask them to recognize themselves. In Study 2 we use a novel approach to apply random noise patterns to participants' faces and ask them to indicate in which version they recognize themselves more. Aggregating these random noise patterns reveals the direction of self-recognition in a more bottom-up, data-driven way. Across both studies we find evidence for self-enhancement regarding attractiveness, likability, and the Big Two personality dimensions.

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