一种面孔吸引力评价法及其应用实例

A Method of Assessing Facial Attractiveness and Its Application

目的评价面孔吸引力的客观测量值与主观打分值之间的一致性。方法利用Marquardt博士设计的黄金比例面具电子版制作成有机玻璃板,同时配合Photoshop软件和潘劲辉研发的面积计算程序对照片上的面孔进行面孔吸引力客观评分,该方法称为马图潘(MPP)法。同时发放问卷并对照片上的面孔进行面孔吸引力主观问卷调查。结果采用MPP法获得了40张中国女性面部照片的面孔吸引力客观测量值,也得到了这40张面部照片面孔吸引力的问卷主观打分值。经SPSS计算克龙巴赫α系数为0.871,表明问卷法的信度良好。作Bland-Altman散点图,一致性界限为-5.39～14.10分,2.5%(1/40)的点在95%的一致性界限以外;在一致性界限范围内,这2种面孔吸引力评分值差值的最大值为-5.33分,差值均数4.36分。实例:利用某校园网在校本科女生资料,分别选择具有漂亮的、象征性的、特质的和自然属性的名字作为研究对象,样本量250,用MPP法评价其面孔吸引力得分。结论采用Bland-Altman法分析2种面孔吸引力评价法的评分值,显示一致性良好。MPP法作为一种有效和可靠的评分方法可替代问卷法。相关分析(r=0.039)表明,名字与面孔吸引力不相关;方差分析(P> 0.05)表明,名字对面孔吸引力无影响。

Objective To evaluate the consistency between objective measurement and subjective scoring in facial attractiveness.Methods Make an objective scoring assessment in facial attractiveness in which the organic glass plate designed in the electronic version of the golden ratio mask by Dr Marquardt, the Photoshop software and the small area calculation program designed by Pan jin-hui were used. This method is named as Marquardt-Photoshop-Pan(MPP) method. At the same time, questionnaires were distributed to get the subjective scores. Results The objective scores of the facial attractiveness about 40 photos of Chinese women’s faces were obtained by MPP method, the subjective scores of these 40 facial photographs were also obtained by questionnaire survey. The Cronbach’s alpha coefficient is 0.871 by SPSS calculation, which showed that the reliability of the questionnaire is good. As a Bland-Altman scatter plot,the consistency limit is -5.39 ^+14.10 points, 2.5%(1/40) is outside the consistency limit of 95%;The maximum difference of 2 kinds of score values in face attractiveness is 5.33 points and the difference mean is 4.36 points in the range of consistency limits. Examples:Based on the data of undergraduate girls in a campus network, the names with beautiful, symbolic, characteristic and natural attributes were selected as the research objects. The sample size was 250, and the facial attractiveness score was evaluated by MPP method.Conclusion Bland-Altman method was used to analyze the scores of 2 kinds of evaluation methods in facial attractiveness, showing good consistency. The MPP approach can be used as an effective and reliable scoring methodology instead of questionnaire in facial attractiveness. The correlation analysis(r=0.039) showed that names were not related to the facial attractiveness;and variance analysis(P> 0.05) showed that names had no effect on the facial attractiveness.