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Expression Dependence in the Perception of Facial Identity

机译:面部身份感知中的表达依赖性

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We recognise familiar faces irrespective of their expression. This ability, crucial for social interactions, is a fundamental feature of face perception. We ask whether this constancy of facial identity may be compromised by changes in expression. This, in turn, addresses the issue of whether facial identity and expression are processed separately or interact. Using an identification task, participants learned the identities of two actors from naturalistic (so-called ambient) face images taken from movies. Training was either with neutral images or their expressive counterparts, perceived expressiveness having been determined experimentally. Expressive training responses were slower and more erroneous than neutral training responses. When tested with novel images of the actors that varied in expressiveness, neutrally trained participants gave slower and less accurate responses to images of high compared with low expressiveness. These findings clearly demonstrate that facial expressions impede the processing and learning of facial identity. Because this expression dependence is consistent with a late bifurcation model of face processing, in which changeable facial aspects and identity are coded in a common framework, it suggests that expressions are a part of facial identity representation.
机译:无论脸部表情如何,我们都能认出它们。这种对社交互动至关重要的能力是面部感知的基本特征。我们问面部表情的这种恒定性是否会因表情变化而受到损害。反过来,这解决了脸部身份和表情是单独处理还是交互的问题。通过识别任务,参与者从电影中拍摄的自然(所谓的环境)面部图像中了解了两个演员的身份。训练是使用中性图像或具有表现力的对应物进行,感觉的表现力已通过实验确定。富有表现力的训练反应比中立的训练反应更慢,更错误。当用表现力各异的演员的新颖形象进行测试时,与低表现力相比,受过中性训练的参与者对高表现力的图像反应较慢且准确性较差。这些发现清楚地表明,面部表情阻碍了面部识别的处理和学习。由于这种表达依赖性与面部处理的后期分叉模型一致,后者在一个通用框架中对可变的面部表情和身份进行编码,因此它暗示了表情是面部身份表示的一部分。

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