200 research outputs found

    Do facial first impressions reflect a shared social reality?

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    This work was supported by an Australian Research Council (ARC) Discovery Early Career Research Award to CS [DE 190101043], the ARC Centre of Excellence in Cognition and its Disorders [CE110001021], and an ARC Discovery Award [DP170104602]. The funding sources had no influence on the research.Peer reviewedPostprintPostprin

    How do you say ā€˜helloā€™? Personality impressions from brief novel voices

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    On hearing a novel voice, listeners readily form personality impressions of that speaker. Accurate or not, these impressions are known to affect subsequent interactions; yet the underlying psychological and acoustical bases remain poorly understood. Furthermore, hitherto studies have focussed on extended speech as opposed to analysing the instantaneous impressions we obtain from first experience. In this paper, through a mass online rating experiment, 320 participants rated 64 sub-second vocal utterances of the word ā€˜helloā€™ on one of 10 personality traits. We show that: (1) personality judgements of brief utterances from unfamiliar speakers are consistent across listeners; (2) a two-dimensional ā€˜social voice spaceā€™ with axes mapping Valence (Trust, Likeability) and Dominance, each driven by differing combinations of vocal acoustics, adequately summarises ratings in both male and female voices; and (3) a positive combination of Valence and Dominance results in increased perceived male vocal Attractiveness, whereas perceived female vocal Attractiveness is largely controlled by increasing Valence. Results are discussed in relation to the rapid evaluation of personality and, in turn, the intent of others, as being driven by survival mechanisms via approach or avoidance behaviours. These findings provide empirical bases for predicting personality impressions from acoustical analyses of short utterances and for generating desired personality impressions in artificial voices

    Combining Deep Facial and Ambient Features for First Impression Estimation

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    14th European Conference on Computer Vision (ECCV) -- OCT 08-16, 2016 -- Amsterdam, NETHERLANDSFirst impressions influence the behavior of people towards a newly encountered person or a human-like agent. Apart from the physical characteristics of the encountered face, the emotional expressions displayed on it, as well as ambient information affect these impressions. In this work, we propose an approach to predict the first impressions people will have for a given video depicting a face within a context. We employ pre-trained Deep Convolutional Neural Networks to extract facial expressions, as well as ambient information. After video modeling, visual features that represent facial expression and scene are combined and fed to a Kernel Extreme Learning Machine regressor. The proposed system is evaluated on the ChaLearn Challenge Dataset on First Impression Recognition, where the classification target is the Big Five personality trait labels for each video. Our system achieved an accuracy of 90.94% on the sequestered test set, 0.36% points below the top system in the competition

    Evaluations of People Depicted With Facial Disfigurement Compared to Those With Mobility Impairment

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    There are few extant studies of stereotyping of people with facial disfigurement. In the present study, two experiments (both within-participants) showed positive evaluations of people depicted as wheelchair users and, from the same participants, negative evaluations of people with facial disfigurements, compared to controls. The results of Experiment 2 suggested that implicit affective attitudes were more negative toward people with facial disfigurement than wheelchair users and were correlated with evaluation negativity. Social norms were perceived to permit more discrimination against people with facial disfigurement than against wheelchair users. These factors could help to explain the evaluative differences between the two disadvantaged groups

    Avoiding the uncanny valley : robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion

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    ā€œThe original publication is available at www.springerlink.comā€. Copyright Springer. DOI: 10.1007/s10514-007-9058-3This article presents the results of video-based Human Robot Interaction (HRI) trials which investigated peopleā€™s perceptions of different robot appearances and associated attention-seeking features and behaviors displayed by robots with different appearance and behaviors. The HRI trials studied the participantsā€™ preferences for various features of robot appearance and behavior, as well as their personality attributions towards the robots compared to their own personalities. Overall, participants tended to prefer robots with more human-like appearance and attributes. However, systematic individual differences in the dynamic appearance ratings are not consistent with a universal effect. Introverts and participants with lower emotional stability tended to prefer the mechanical looking appearance to a greater degree than other participants. It is also shown that it is possible to rate individual elements of a particular robotā€™s behavior and then assess the contribution, or otherwise, of that element to the overall perception of the robot by people. Relating participantsā€™ dynamic appearance ratings of individual robots to independent static appearance ratings provided evidence that could be taken to support a portion of the left hand side of Moriā€™s theoretically proposed ā€˜uncanny valleyā€™ diagram. Suggestions for future work are outlined.Peer reviewe

    Similarities and Differences in Chinese and Caucasian Adults' Use of Facial Cues for Trustworthiness Judgments

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    All cultural groups in the world place paramount value on interpersonal trust. Existing research suggests that although accurate judgments of another's trustworthiness require extensive interactions with the person, we often make trustworthiness judgments based on facial cues on the first encounter. However, little is known about what facial cues are used for such judgments and what the bases are on which individuals make their trustworthiness judgments.In the present study, we tested the hypothesis that individuals may use facial attractiveness cues as a ā€œshortcutā€ for judging another's trustworthiness due to the lack of other more informative and in-depth information about trustworthiness. Using data-driven statistical models of 3D Caucasian faces, we compared facial cues used for judging the trustworthiness of Caucasian faces by Caucasian participants who were highly experienced with Caucasian faces, and the facial cues used by Chinese participants who were unfamiliar with Caucasian faces. We found that Chinese and Caucasian participants used similar facial cues to judge trustworthiness. Also, both Chinese and Caucasian participants used almost identical facial cues for judging trustworthiness and attractiveness.The results suggest that without opportunities to interact with another person extensively, we use the less racially specific and more universal attractiveness cues as a ā€œshortcutā€ for trustworthiness judgments

    Reading the face of a leader: women with low facial masculinity are perceived as competitive

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    In competitive settings, people prefer leaders with masculine faces. But is facial masculinity a trait that is similarly desired in men and women leaders? Across three studies, we discovered that people indeed prefer men and women leaders who have faces with masculine traits. But surprisingly, we find that people also prefer women with low facial masculinity as leaders in competitive contexts (Study 1). Our findings indicate that low facial masculinity in women, but not in men is perceived to indicate competitiveness (Study 2). Thus, in contrast to men, women leaders who rate high in facial masculinity as well as those low in facial masculinity are both selected as leaders in competitive contexts. Indeed, among CEOs of S&P 500 companies, we find a greater range of facial masculinity amongwomen CEOs than among men CEOs (Study 3). Our results suggest that traits of facial masculinity in men and women are interpreted differently. Low facial masculinity in women is linked to competitiveness and not only to cooperativeness as suggested by prior research

    The Perceived Benefits of Height: Strength, Dominance, Social Concern, and Knowledge among Bolivian Native Amazonians

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    Research in industrial countries suggests that, with no other knowledge about a person, positive traits are attributed to taller people and correspondingly, that taller people have slightly better socioeconomic status (SES). However, research in some non-industrialized contexts has shown no correlation or even negative correlations between height and socioeconomic outcomes. It remains unclear whether positive traits remain attributed to taller people in such contexts. To address this question, here we report the results of a study in a foraging-farming society of native Amazonians in Bolivia (Tsimaneā€™)ā€“a group in which we have previously shown little association between height and socioeconomic outcomes. We showed 24 photographs of pairs of Tsimaneā€™ women, men, boys, and girls to 40 women and 40 men >16 years of age. We presented four behavioral scenarios to each participant and asked them to point to the person in the photograph with greater strength, dominance, social concern, or knowledge. The pairs in the photographs were of the same sex and age, but one person was shorter. Tsimaneā€™ women and men attributed greater strength, dominance, and knowledge to taller girls and boys, but they did not attribute most positive traits to taller adults, except for strength, and more social concern only when women assessed other women in the photographs. These results raise a puzzle: why would Tsimaneā€™ attribute positive traits to tall children, but not tall adults? We propose three potential explanations: adultsā€™ expectations about the more market integrated society in which their children will grow up, height as a signal of good child health, and childrenā€™s greater variation in the traits assessed corresponding to maturational stages
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