Accounting for Private Taste: Facial shape analysis of Attractiveness and Inter-individual Variance
Accounting for Private Taste: Facial shape analysis of Attractiveness and Inter-individual Variance
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DOI：
10.1109/kst48564.2020.9059511
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发表时间：
2020-01
期刊：
影响因子：
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通讯作者：
Takumi Tanaka;Jan Mikuni;D. Shimane;Koyo Nakamura;Katsumi Watanabe
中科院分区：
文献类型：
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作者：
Takumi Tanaka;Jan Mikuni;D. Shimane;Koyo Nakamura;Katsumi Watanabe
吸引力是一种重要的面部属性，它在很大程度上会影响个人的印象或社会关系。最近，许多研究都对影响吸引力的面部形态特征进行了研究。值得注意的是，大多数研究都假定了面部吸引力的“基本事实”和普遍标准。然而，事实上，有充分的报道表明在吸引力判断上存在个体差异。这些个体差异可能源于个人对面部某些形态特征的偏好。然而，还没有直接的实证研究来调查面部吸引力评估中的差异。在这项研究中，我们研究了面部形态特征与对面部吸引力评分的判断之间的定量关系。我们发现，吸引力评分的差异可以通过一些传统的机器学习方法进行部分预测，并且面部轮廓的清晰度以及代表微笑表情的形态特征可能会对差异量产生影响。
Attractiveness is an important facial attribute, which could largely influence individuals' impressions or social relationship. Lately, numerous studies have examined the morphological facial features driving attractiveness. Notably, most of the studies have postulated the “ground-truth”, universal standards of facial attractiveness. However, in fact, it is well-reported that there are inter-individual differences in attractiveness judgments. These individual differences may be derived from individual preferences for certain morphological features in the faces. Nevertheless, there has been no direct empirical study to investigate the variances in the evaluation of facial attractiveness. In this study, we examined the quantitative relationships between morphological facial features and the judgments of attractiveness ratings for the faces. We found that the variances in attractiveness ratings could be partly predicted by some traditional machine learning, and that the sharpness of face outlines and morphological features representing the smile expression could have impacts on the amounts of the variances.