Holistic Gaze Strategy to Categorize Facial Expression of Varying Intensities
Holistic Gaze Strategy to Categorize Facial Expression of Varying Intensities
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DOI：
10.1371/journal.pone.0042585
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发表时间：
2012-08-03
期刊：
影响因子：
3.7
通讯作者：
Guo, Kun
中科院分区：
文献类型：
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作者：
Guo, Kun
最近的行为和眼球追踪研究利用代表夸张情绪表达的面部，表明个体面部特征在传递解码面部表情的诊断线索方面发挥着主导作用。考虑到在日常生活中我们经常看到低强度表情的面孔，其中局部面部线索更加模糊，我们可能需要结合多个面部特征的表情线索来可靠地解码自然的面部表情。在这项研究中，我们应用变形技术来系统地改变六种基本面部表情的强度，并采用自定进度的表情分类任务来测量参与者的分类表现和相关的注视模式。对所有表情的汇总数据的分析表明，增加表情强度可以提高分类准确性，缩短反应时间并减少针对面部的注视次数。然而，针对内部面部特征（眼睛、鼻子和嘴巴区域）的注视比例和观看时间并不受不同强度水平的影响。个体面部表情之间的进一步比较表明，尽管个体面部特征的比例注视分配是由观看的表情定量调节的，但不同面部表情和不同强度的面部注视的整体注视分布在质量上是相似的。看来我们在处理自然面部表情时采用了整体观看策略，从所有内部面部特征中提取表达线索。
Using faces representing exaggerated emotional expressions, recent behaviour and eye-tracking studies have suggested a dominant role of individual facial features in transmitting diagnostic cues for decoding facial expressions. Considering that in everyday life we frequently view low-intensity expressive faces in which local facial cues are more ambiguous, we probably need to combine expressive cues from more than one facial feature to reliably decode naturalistic facial affects. In this study we applied a morphing technique to systematically vary intensities of six basic facial expressions of emotion, and employed a self-paced expression categorization task to measure participants' categorization performance and associated gaze patterns. The analysis of pooled data from all expressions showed that increasing expression intensity would improve categorization accuracy, shorten reaction time and reduce number of fixations directed at faces. The proportion of fixations and viewing time directed at internal facial features (eyes, nose and mouth region), however, was not affected by varying levels of intensity. Further comparison between individual facial expressions revealed that although proportional gaze allocation at individual facial features was quantitatively modulated by the viewed expressions, the overall gaze distribution in face viewing was qualitatively similar across different facial expressions and different intensities. It seems that we adopt a holistic viewing strategy to extract expressive cues from all internal facial features in processing of naturalistic facial expressions.