Power of averaging: Noise reduction by ensemble coding of multiple faces.

Power of averaging: Noise reduction by ensemble coding of multiple faces.
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平均的力量:通过多个面部的整体编码来降低噪声。

DOI:
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发表时间:
2020
期刊:
Journal of experimental psychology. General
影响因子:
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通讯作者:
S. C. Chong
S. C. Chong
中科院分区:
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文献类型:
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作者:
Jisoo Sun;S. C. Chong

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面孔感知是社会交往中的一种重要能力。人脸的整体处理使我们能够很容易地理解人脸属性,尽管人脸相似。多人脸的包围编码使我们能够在视觉系统容量有限的情况下轻松地判断人群的特征。目前的研究调查是否整体处理的脸是不同的集成编码的多个面孔,如果是这样,如何。我们测试了面部反转如何影响整体处理和整体编码。参与者被要求区分一张脸或一群脸(愤怒或快乐的脸)的情绪强度。更重要的是,面部或面部特征有时是颠倒的。我们发现,一个脸反转效果是更大的区别个人的情绪比在人群中的区别情绪。随着倒置成分数量的增加,这两种辨别能力都受到更大的干扰。在整体加工中,干扰程度因情绪和特征的不同而不同,但在整体编码中,干扰程度没有变化。整体编码中的反转效应比整体处理中的反转效应弱,因为反转产生的噪声可能在平均中被抵消。不同的反转效应取决于不同的情绪和面部特征,观察只有在整体处理,因为不均匀的面部特征的个人情绪处理的贡献可能会降低噪声消除的有效性。总之,这些结果表明,集成编码提供了一个强大的机制,涉及个人代表性的噪声消除。(PsycINFO数据库记录(c)2019阿帕,保留所有权利)。
Face perception is an important ability in social interaction. Holistic processing of a face enables us to understand facial attributes easily despite similarity of faces. Ensemble coding of multiple faces enables us to judge the characteristics of a crowd easily despite the limited capacity of the visual system. The current study investigated whether holistic processing of a face is different from ensemble coding of multiple faces and, if so, how. We tested how face inversion influenced both holistic processing and ensemble coding. Participants were asked to discriminate emotion intensities of either a single face or a crowd of faces (angry or happy face[s]). More important, face(s) or facial features were sometimes presented upside-down. We found that a face inversion effect was larger in discriminating individual emotion than in discriminating emotion in a crowd. As the number of inverted components increased, both discrimination abilities were more disrupted. The degree of disruption varied depending on different emotions and features in holistic processing, but it did not vary in ensemble coding. The inversion effect was weaker in ensemble coding than in holistic processing because noise produced by inversion might have cancelled out in averaging. Different inversion effects depending on different emotions and facial features were observed only in holistic processing because uneven contributions of facial features to individual emotion processing might have reduced the effectiveness of noise cancellation. Together, these results suggest that ensemble coding provides a powerful mechanism of noise cancellation involved with individual representation. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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