Familiarity Hijack: How Morphing Faces With Celebrity Images Can Enhance Trust

Robin J. Tanner, Ahreum Maeng
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引用次数: 1

Abstract

In this research we investigate the effect of combining unfamiliar faces with those of celebrities. Using facial morphing software we create composite faces consisting of 65% of an unfamiliar face and 35% of a celebrity face. In two studies participants rated the resulting composite images as being significantly more trustworthy than the unfamiliar faces despite being entirely unaware of the presence of the celebrity faces in the morphed image. Building on previous literature, we argue that this effect is consistent with a familiarity explanation but is inconsistent with explanations relying on either similarity or transfer of specific individual meaning.
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熟悉劫持:如何用名人的形象变换面孔可以增强信任
在这项研究中,我们研究了将不熟悉的面孔与名人的面孔结合起来的效果。使用面部变形软件,我们创建了由65%的陌生面孔和35%的名人面孔组成的合成面孔。在两项研究中,参与者认为合成后的照片比不熟悉的照片更值得信赖,尽管他们完全没有意识到变形后的照片中有名人的脸。基于先前的文献,我们认为这种效应与熟悉度的解释是一致的,但与依赖于特定个体意义的相似性或转移的解释不一致。
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