First Impressions of Strangers Rely on Generalization of Behavioral Traits Associated with previously Seen Facial Features

The influence of facial attractiveness and personal characteristics on imitation

Imitation plays a crucial role in learning and communication, although a little is known whether individuals imitate each other based on particular personality traits. Facial features and personal characteristics are the major components of personal impressions. This study adopted the color paradigm to explore the effect of the two factors on imitation. Experiment 1 examined the effect of facial attractiveness and face gender on imitation. The results showed that woman who appeared attractive drove imitation more than woman who did not. However, men who appeared attractive and unattractive differed insignificantly. Experiment 2 investigated the effect of facial attractiveness and personal characteristics on imitation. The results of Experiment 1 were verified, stating that positive personal characteristics drove imitation more than negative personal characteristics. The study found that facial attractiveness still affected imitation when characteristics information appeared. Regarding negative personal characteristics, individuals who appeared attractive drove imitation more than individuals who did not. The results indicate that imitation is automated, influenced not only by face types but also by personal characteristics.

The mental representation of occupational stereotypes is driven as much by their affective as by their semantic content

BACKGROUND

Studies on person perception showed that stereotypes can be activated by presenting either characteristic traits of group members, or labels associated to these groups. However, it is not clear whether these pieces of semantic information activate negative and positive stereotypes directly, or via an indirect cognitive pathway leading through brain regions responsible for affective responses. Our main objective with this study was to disentangle the effects of semantic and affective contents. To this end, we intended to scrutinize whether the representation of occupational labels is independent of the emotions they evoke.

METHODS

Participants (N = 73, M = 27.0, SD = 9.1, 31 men 42 women,) were asked to complete two tasks presented online. In the first task they had to arrange 20 occupational labels-randomly chosen from a pool of 60 items-in a two-dimensional space, moving the mouse pointer along two undefined axes. In a second task the axes' names were defined a priori. Subjects were asked to arrange the labels according to valence, the extent to which the word evoked pleasant or unpleasant feelings, and arousal, the extent to which the word evoked excitement or calmness.

RESULTS

Based on the final coordinates of the labels, two cluster analyses were carried out separately in the two tasks. The two clusters were compared with Fisher's exact test, which revealed that the cluster structures overlap significantly.

CONCLUSIONS

The results suggest that the spontaneous categorization and the semantic representation of occupations rely largely on the affective state they evoke. We propose that affective content might have a primacy over detailed semantic information in many aspects of person perception, including social categorization.

Spontaneous first impressions emerge from brief training

People have a strong and reliable tendency to infer the character traits of strangers based solely on facial appearance. In five highly powered and pre-registered experiments, we investigate the relative merits of learning and nativist accounts of the origins of these first impressions. First, we test whether brief periods of training can establish consistent first impressions de novo. Using a novel paradigm with Greebles-a class of synthetic object with inter-exemplar variation that approximates that seen between individual faces-we show that participants quickly learn to associate appearance cues with trustworthiness (Experiments 1 and 2). In a further experiment, we show that participants easily learn a two-dimensional structure in which individuals are presented as simultaneously varying in both trustworthiness and competence (Experiment 3). Crucially, in the final two experiments (Experiments 4 and 5) we show that, once learned, these first impressions occur following very brief exposure (100 ms). These results demonstrate that first impressions can be rapidly learned and, once learned, take on features previously thought to hold only for innate first impressions (rapid availability). Taken together, these results highlight the plausibility of learning accounts of first impressions.

Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design

As an emerging artificial intelligence system, social robot could socially communicate and interact with human beings. Although this area is attracting more and more attention, limited research has tried to systematically summarize potential features that could improve facial anthropomorphic trustworthiness for social robot. Based on the literature from human facial perception, product, and robot face evaluation, this paper systematically reviews, evaluates, and summarizes static facial features, dynamic features, their combinations, and related emotional expressions, shedding light on further exploration of facial anthropomorphic trustworthiness for social robot design.