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Combining Traits Into a Face: A Reverse Correlation Approach
Social Cognition ( IF 1.636 ) Pub Date : 2019-10-01 , DOI: 10.1521/soco.2019.37.5.516
Manuel Oliveira 1 , Teresa Garcia-Marques 1 , Ron Dotsch 2
Affiliation  

The integration of multiple traits into a unitary impression has been extensively investigated in impression formation research. However, because the focus has typically been on the verbal output of the formed impressions, little is known about how impressions resulting from different trait combinations impact perceivers’ expectations about facial content. Here, we offer initial evidence about how trait integration occurs in social face perception. In two studies, we used a reverse correlation paradigm to obtain face images reflecting participants’ expectations about facial content for different trait combinations of dominance and trustworthiness. Analyses of the physical and perceived content of these images suggest that: (a) trustworthiness information outweighs dominance information in expectations about facial content; and (b) the face content derived from any trait combination contains information that goes beyond the content associated with each separate trait. These findings extend the research on trait integration to social face perception.

中文翻译:

将特征组合成面部:反向相关方法

在印象形成研究中已经广泛研究了将多个特征整合成一个整体的印象。但是,由于重点通常放在形成的印象的言语输出上,因此对于由不同特征组合产生的印象如何影响感知者对面部内容的期望知之甚少。在这里,我们提供有关特质整合如何在社交面孔感知中发生的初步证据。在两项研究中,我们使用反向相关范式来获取反映参与者对优势和信任度不同特征组合对面部内容的期望的面部图像。对这些图像的物理和感知内容的分析表明:(a)在对面部内容的期望中,可信赖度信息胜过优势信息;(b)从任何特征组合得出的面部内容所包含的信息超出了与每个单独特征相关联的内容。这些发现将特质整合的研究扩展到了社会面孔感知。
更新日期:2019-10-01
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