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[面部相似性维度——交叉验证]

[Dimensions of similarity of faces--a cross validation].

作者信息

Henss R

机构信息

Psychologisches Institut, Universität des Saarlandes.

出版信息

Z Exp Angew Psychol. 1994;41(3):398-414.

PMID:7801648
Abstract

Using a series of three experiments, a cross-validation study on the dimensions of similarity of faces was carried out. In experiment 1,100 subjects sorted two sets of facial photographs (61 men, 62 women; age range 20-60) into groups of faces similar in appearance. In experiment 2, a group of 864 subjects rated a subset of 36 male and 36 female faces on a personality differential consisting of 90 scales and a physiognomic differential consisting of 29 scales. Each judge rated a single photograph on all scales. In experiment 3, the complementary subsets of 25 male and 26 female faces were rated by a third group of 48 subjects. Each judge rated one set of photographs on eight different scales from the personality sphere. Nonmetric multidimensional scaling (ALSCAL) was carried out on the similarity judgements obtained in experiment 1. Using multiple regression procedures, the ratings from experiment 2 were regressed on the coordinates of the similarity spaces. About two-thirds of the personality scales and nearly half of the physiognomic scales could be fitted into the three-dimensional similarity space. By using factor values in place of scale values, the Big Five personality factors as well as physical attractiveness and age could be fitted into the three-dimensional space. The regression coefficients obtained in experiment 2 were used to predict the scale values of the complementary subsets of stimulus persons in experiment 3. With the exception of one scale ("unlogical--logical"), the cross-validation was extraordinarily successful.

摘要

通过一系列三个实验,对面部相似性维度进行了交叉验证研究。在实验1中,100名受试者将两组面部照片(61名男性,62名女性;年龄范围20 - 60岁)按照外貌相似程度进行分组。在实验2中,一组864名受试者对36名男性和36名女性面部的一个子集在由90个量表组成的人格差异量表和由29个量表组成的相貌差异量表上进行评分。每位评判员对所有量表上的一张照片进行评分。在实验3中,第三组48名受试者对25名男性和26名女性面部的互补子集进行评分。每位评判员在人格领域的八个不同量表上对一组照片进行评分。对实验1中获得的相似性判断进行了非度量多维尺度分析(ALSCAL)。使用多元回归程序,将实验2中的评分与相似性空间的坐标进行回归分析。大约三分之二的人格量表和近一半的相貌量表可以拟合到三维相似性空间中。通过使用因子值代替量表值,大五人格因素以及身体吸引力和年龄都可以拟合到三维空间中。实验2中获得的回归系数用于预测实验3中刺激人物互补子集的量表值。除了一个量表(“不合逻辑 - 合乎逻辑”)外,交叉验证非常成功。

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