Human female attractiveness: waveform analysis of body shape
Human female attractiveness: waveform analysis of body shape
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人类女性吸引力：体形波形分析
DOI：
10.1098/rspb.2002.2133
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
P. Cornelissen
中科院分区：
文献类型：
--
作者：
M. Tovée;P. Hancock;S. Mahmoodi;Ben R R Singleton;P. Cornelissen
身体质量指数(BMI)和体型(尤其是腰臀比或腰围比)是衡量女性外表吸引力的两个假设线索。为了确定这些暗示的相对重要性，我们让23名男性和23名女性本科生对一组60张真实女性身体的照片进行吸引力评分。在我们的一组图像中，BMI和WHR的相对范围有利于WHR。我们根据457名女性的样本得出了这一范围。我们没有限制腰围范围，尽管我们将BMI范围保持在0.5S.D.样本的两边都意味着。结果，腰围比平均为1.65。样本均值的两边。然而，即使有了这些优势，腰围比体重指数作为身体吸引力评级的预测指标也没有那么重要。与腰围相比，体重指数与吸引力评分的相关性更强(体重指数∼为0.5%，腰围∼为0.2%)。为了进一步探索BMI和WHR的相对重要性，我们特意选择了这些图像中显示BMI和WHR呈负相关的子集(即图像越重，曲线越美的组)。如果腰围比是最重要的吸引力决定因素，那么曲线美(但BMI更高)的图像应该被认为是最具吸引力的。然而，如果BMI是一个更好的预测指标，那么相反的情况应该是正确的。我们发现，曲线越美(但BMI越高)的图像被认为最不具吸引力，从而颠倒了预期的评级模式。这有力地表明，观众的判断更多地受到BMI的影响，而不是腰围比。最后，体型可能是魅力的重要暗示，但简单的比例(如腰围比)并不能充分反映这一点。因此，我们将躯干的轮廓视为一种波形，并对其进行了一系列波形分析，以使我们能够量化身体形状并将其与吸引力相关联。波形分析解决了整个躯干形状的复杂性，并揭示了躯干形状的固有属性，而不是基于关于任意物理特征的先前决定的形状元素。我们的分析将波形分解成客观量化的元素，然后可以测试这些元素在预测吸引力方面的重要性。所有能很好地描述体型的成分与吸引力的相关性都很弱。我们的结果表明，BMI比腰围更能预测吸引力。
Two putative cues to female physical attractiveness are body mass index (BMI) and shape (particularly the waist–hip ratio or WHR). To determine the relative importance of these cues we asked 23 male and 23 female undergraduates to rate a set of 60 pictures of real women's bodies in front–view for attractiveness. In our set of images, the relative ranges of BMI and WHR favoured WHR. We based these ranges on a sample of 457 women. We did not limit the WHR range, although we kept the BMI range to 0.5 s.d. either side of the sample means. As a result, WHR averaged 1.65 s.d. either side of its sample mean. However, even with these advantages, WHR was less important than BMI as a predictor of attractiveness ratings for bodies. BMI is far more strongly correlated with ratings of attractiveness than WHR (BMI ∼ 0.5, WHR ∼ 0.2). To further explore the relative importance of BMI and WHR, we deliberately chose a subset of these images that demonstrated an inverse correlation of BMI and WHR (i.e. a group in which as images get heavier they also become more curvaceous). If WHR is the most important determinant of attractiveness, then the more curvaceous (but higher BMI) images should be judged most attractive. However, if BMI is a better predictor, then the opposite should be true. We found that the more curvaceous (but higher BMI) images were judged least attractive, thereby inverting the expected rating pattern. This strongly suggests that viewers' judgements were influenced more by BMI than WHR. Finally, it is possible that body shape is an important cue to attractiveness, but that simple ratios (such as WHR) are not adequately capturing it. Therefore, we treated the outline of the torso as a waveform and carried out a set of waveform analyses on it to allow us to quantify body shape and correlate it with attractiveness. The waveform analyses address the complexity of the whole torso shape, and reveal innate properties of the torso shape and not shape elements based on prior decisions about arbitrary physical features. Our analyses decompose the waveform into objective quantified elements whose importance in predicting attractiveness can then be tested. All of the components that were good descriptors of body shape were weakly correlated with attractiveness. Our results suggest that BMI is a stronger predictor of attractiveness than WHR.
DOI：
10.1001/jama.1995.03520300035033
发表时间：
1995-02
期刊：
JAMA
影响因子：
--
作者：
W. Willett;J. Manson;M. Stampfer;G. Colditz;B. Rosner;F. Speizer;C. Hennekens
通讯作者：
W. Willett;J. Manson;M. Stampfer;G. Colditz;B. Rosner;F. Speizer;C. Hennekens
影响因子：
158.5
作者：
Stevens, J;Cai, JW;Wood, JL
通讯作者：
Wood, JL