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周边视觉中面部表情的处理:神经生理学证据。

Processing of facial expressions in peripheral vision: neurophysiological evidence.

作者信息

Calvo Manuel G, Beltrán David, Fernández-Martín Andrés

机构信息

University of La Laguna, Tenerife, Spain.

出版信息

Biol Psychol. 2014 Jul;100:60-70. doi: 10.1016/j.biopsycho.2014.05.007. Epub 2014 May 28.

Abstract

We investigated the time course and processes in the recognition of facial expressions in peripheral vision (10.5°). Happy faces were categorized more accurately and faster than angry, fearful, sad, and neutral faces. Consistently, the N1 (90 to 130ms post-stimulus) and N2pc (200-300ms) ERP (event-related-potentials) components were more negative, and the SPWs (slow positive waves; 700-800ms) were smaller, for happy than for non-happy faces. Computational modeling revealed that the smiling mouth became visually salient earlier (95ms) than any other region, in temporal correspondence with the N1, thus showing an attentional capture by the smile. The N2pc presumably reflected the subsequent selective allocation of processing resources to happy faces. As a result, the reduced SPWs suggest that the decision process in expression categorization became less demanding for happy faces. We propose that facial expression recognition in peripheral vision is mainly driven by perceptual processing, without affective discrimination.

摘要

我们研究了周边视觉(10.5°)中面部表情识别的时间进程和过程。与愤怒、恐惧、悲伤和中性表情的面孔相比,快乐表情的面孔分类更准确、速度更快。一致地,对于快乐表情的面孔,N1(刺激后90至130毫秒)和N2pc(200 - 300毫秒)事件相关电位(ERP)成分更负,而慢正波(SPWs;700 - 800毫秒)更小。计算模型显示,微笑的嘴比其他任何区域在视觉上更早变得显著(95毫秒),在时间上与N1相对应,从而表明微笑引起了注意捕获。N2pc可能反映了随后对快乐表情面孔的处理资源的选择性分配。结果,SPWs的减少表明表情分类中的决策过程对快乐表情的面孔要求较低。我们提出,周边视觉中的面部表情识别主要由感知处理驱动,而无需情感辨别。

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