Division of Plastic & Reconstructive Surgery, Children's Hospital of Philadelphia.
Penn Center for Neuroaesthetics.
J Craniofac Surg. 2022;33(5):1431-1435. doi: 10.1097/SCS.0000000000008662. Epub 2022 Jun 27.
Facial proportionality and symmetry are positively associated with perceived levels of facial attractiveness.
The aims of this study were to confirm and extend the association of proportionality with perceived levels of attractiveness and character traits and determine differences in attractiveness and character ratings between "anomalous" and "typical" faces using a large dataset.
Ratings of 597 unique individuals from the Chicago Face Database were used. A formula was developed as a proxy of relative horizontal proportionality, where a proportionality score of "0" indicated perfect proportionality and more negative scores indicated less proportionality. Faces were categorized as "anomalous" or "typical" by 2 independent reviewers based on physical features.
Across the ratings for all faces, Spearman correlations revealed greater proportionality was associated with attractiveness ( ρ = 0.292, P < 0.001) and trustworthiness ( ρ = 0.193, P < 0.001), while lesser proportionality was associated with impressions of anger (ρ = 0.132, P = 0.001), dominance (ρ = 0.259, P < 0.001), and threateningness ( ρ = 0.234, P < 0.001). Mann-Whitney U tests revealed the typical cohort had significantly higher levels of proportionality (-13.98 versus -15.14, P = 0.030) and ratings of attractiveness (3.39 versus 2.99, P < 0.001) and trustworthiness (3.48 versus 3.35, P < 0.001).
This study demonstrated that facial proportionality is not only significantly associated with higher ratings of attractiveness, but also associated with judgements of trustworthiness. Proportionality plays a role in evoking negative attributions of personality characteristics to people with facial anomalies.
面部比例和对称性与感知到的面部吸引力水平呈正相关。
本研究旨在通过使用大型数据集来确认和扩展比例与感知吸引力和性格特征水平之间的关联,并确定“异常”和“典型”面孔之间在吸引力和性格评价方面的差异。
使用来自芝加哥人脸数据库的 597 个独特个体的评分。开发了一个公式作为相对水平比例的代理,其中比例得分为“0”表示完美比例,负数表示比例越小。根据身体特征,由 2 位独立评审员将人脸分类为“异常”或“典型”。
在所有面孔的评分中,Spearman 相关分析显示,更大的比例与吸引力( ρ = 0.292,P < 0.001)和可信度( ρ = 0.193,P < 0.001)呈正相关,而较小的比例与愤怒( ρ = 0.132,P = 0.001)、支配( ρ = 0.259,P < 0.001)和威胁性( ρ = 0.234,P < 0.001)印象呈负相关。Mann-Whitney U 检验显示,典型队列的比例明显更高(-13.98 与-15.14,P = 0.030),吸引力评分(3.39 与 2.99,P < 0.001)和可信度评分(3.48 与 3.35,P < 0.001)也更高。
本研究表明,面部比例不仅与更高的吸引力评分显著相关,还与可信度判断相关。比例在对具有面部异常的人产生负面人格特征归因方面起着作用。