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Data-driven mathematical model of East-Asian facial attractiveness: the relative contributions of shape and reflectance to attractiveness judgements

机译:数据驱动的东亚人脸吸引力数学模型:形状和反射率对吸引力判断的相对贡献

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Facial attractiveness is judged through a combination of multiple cues including morphology (facial shape) and skin properties (facial reflectance). While several studies have examined the way in which people in Western cultures judge facial attractiveness, there have been fewer investigations into non-Western attitudes. This is because stimuli that quantitatively vary the attractiveness of non-Western faces are rare. In the present study, we built a model of the attractiveness of East-Asian faces, judged by East-Asian observers. Therefore, 400 computer-generated East-Asian faces were created and attractiveness rating scores were collected from Japanese observers. Data-driven mathematical calculations were used to identify quantitative links between facial attractiveness and shape and reflectance properties, with no prior hypothesis. Results indicate that faces with larger eyes, smaller noses and brighter skin are judged as more attractive, regardless of the sex of the faces, possibly reflecting a general preference for femininity. Shape is shown to be a strong determinant of attractiveness for both male and female faces, while reflectance properties are less important in judging male facial attractiveness. Our model provides a tool to effectively produce East-Asian face stimuli that quantitatively varies attractiveness and can be used to elucidate visual processes related to attractiveness judgements.
机译:面部吸引力是通过多种线索(包括形态(面部形状)和皮肤特性(面部反射率))的组合来判断的。尽管有几项研究研究了西方文化中的人对面部吸引力的判断方式,但对非西方态度的研究却很少。这是因为很少能定量改变非西方面孔的吸引力的刺激。在本研究中,我们建立了一个由东亚观察员判断的东亚面孔吸引力模型。因此,创建了400张计算机生成的东亚面孔,并从日本观察员那里收集了吸引力等级分数。数据驱动的数学计算用于确定面部吸引力与形状和反射特性之间的定量联系,而没有先前的假设。结果表明,无论脸部性别如何,大眼睛,小鼻子和亮皮肤的脸都被认为更具吸引力,这可能反映了女性普遍的偏好。形状是决定男性和女性面部吸引力的重要决定因素,而反射率特性在判断男性面部吸引力方面并不那么重要。我们的模型提供了一种工具,可以有效地产生可定量改变吸引力的东亚人脸刺激,并可用于阐明与吸引力判断相关的视觉过程。

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