Wolffhechel Karin, Fagertun Jens, Jacobsen Ulrik Plesner, Majewski Wiktor, Hemmingsen Astrid Sofie, Larsen Catrine Lohmann, Lorentzen Sofie Katrine, Jarmer Hanne
Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark.
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
PLoS One. 2014 Sep 18;9(9):e107721. doi: 10.1371/journal.pone.0107721. eCollection 2014.
Appearance is known to influence social interactions, which in turn could potentially influence personality development. In this study we focus on discovering the relationship between self-reported personality traits, first impressions and facial characteristics. The results reveal that several personality traits can be read above chance from a face, and that facial features influence first impressions. Despite the former, our prediction model fails to reliably infer personality traits from either facial features or first impressions. First impressions, however, could be inferred more reliably from facial features. We have generated artificial, extreme faces visualising the characteristics having an effect on first impressions for several traits. Conclusively, we find a relationship between first impressions, some personality traits and facial features and consolidate that people on average assess a given face in a highly similar manner.
众所周知,外貌会影响社交互动,而社交互动反过来又可能影响个性发展。在本研究中,我们专注于发现自我报告的个性特征、第一印象和面部特征之间的关系。结果表明,从面部可以以高于随机概率的水平读出几种个性特征,并且面部特征会影响第一印象。尽管如此,我们的预测模型无法从面部特征或第一印象中可靠地推断出个性特征。然而,第一印象可以从面部特征中更可靠地推断出来。我们生成了人工的、极端的面孔,以可视化对几种特征的第一印象有影响的特征。总之,我们发现了第一印象、一些个性特征和面部特征之间的关系,并证实人们平均以高度相似的方式评估给定的面孔。