Kramer Robin S S, Ward Robert
School of Psychology, Bangor University, Bangor, Gwynedd, UK.
Q J Exp Psychol (Hove). 2010 Nov;63(11):2273-87. doi: 10.1080/17470211003770912. Epub 2010 May 17.
We investigated forms of socially relevant information signalled from static images of the face. We created composite images from women scoring high and low values on personality and health dimensions and measured the accuracy of raters in discriminating high from low trait values. We also looked specifically at the information content within the internal facial features, by presenting the composite images with an occluding mask. Four of the Big Five traits were accurately discriminated on the basis of the internal facial features alone (conscientiousness was the exception), as was physical health. The addition of external features in the full-face images led to improved detection for extraversion and physical health and poorer performance on intellect/imagination (or openness). Visual appearance based on internal facial features alone can therefore accurately predict behavioural biases in the form of personality, as well as levels of physical health.
我们研究了从面部静态图像中传递出的社会相关信息的形式。我们根据女性在个性和健康维度上得分的高低创建了合成图像,并测量了评分者区分高特质值和低特质值的准确性。我们还通过用遮挡面具呈现合成图像,专门研究了面部内部特征中的信息内容。仅基于面部内部特征就能准确区分出大五人格特质中的四项(尽责性除外),身体健康状况也是如此。全脸图像中外部特征的加入提高了对外向性和身体健康的检测能力,但在智力/想象力(或开放性)方面表现较差。因此,仅基于面部内部特征的视觉外观就能准确预测个性形式的行为偏差以及身体健康水平。