Quantifying facial expression recognition across viewing conditions
Quantifying facial expression recognition across viewing conditions
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DOI：
10.1016/j.visres.2005.10.028
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发表时间：
2006-04-01
期刊：
影响因子：
1.8
通讯作者：
Wilson, HR
中科院分区：
文献类型：
--
作者：
Goren, D;Wilson, HR
面部表情是社交互动和评估各种情况下潜在危险的关键。因此，当面部表情以生物学上合理的方式转变时，我们的大脑必须能够识别它们。我们使用合成的快乐、悲伤、愤怒和恐惧的面孔来确定在简短演示中识别这些情绪所需的几何变化量。使用涉及中心观看、周边观看和倒转的五种替代强制选择条件来研究四种情绪之间的识别。两种选择的强制选择用于研究当刺激中的空间频率信息被修改时的影响歧视。结果显示了情感和任务依赖的检测模式。与中峰值频率或高峰值频率定义的面部表情相比，低峰值频率呈现的面部表情更难与中性面部表情区分开来。除了快乐的面孔之外，面孔的外围呈现也使识别变得更加困难。恐惧检测和识别任务之间的差异可能是由于在从其他情绪中识别恐惧时普遍混淆了悲伤。这些发现进一步支持了这些情绪是彼此分开处理的观点。 (c) 2005 Elsevier Ltd. 保留所有权利。
Facial expressions are key to social interactions and to assessment of potential danger in various situations. Therefore, our brains must be able to recognize facial expressions when they are transformed in biologically plausible ways. We used synthetic happy, sad, angry and fearful faces to determine the amount of geometric change required to recognize these emotions during brief presentations. Five-alternative forced choice conditions involving central viewing, peripheral viewing and inversion were used to study recognition among the four emotions. Two-alternative forced choice was used to study affect discrimination when spatial frequency information in the stimulus was modified. The results show an emotion and task-dependent pattern of detection. Facial expressions presented with low peak frequencies are much harder to discriminate from neutral than faces defined by either mid or high peak frequencies. Peripheral presentation of faces also makes recognition much more difficult, except for happy faces. Differences between fearful detection and recognition tasks are probably due to common confusions with sadness when recognizing fear from among other emotions. These findings further support the idea that these emotions are processed separately from each other. (c) 2005 Elsevier Ltd. All rights reserved.