Visual search of emotional faces: The role of affective content and featural distinctiveness
Visual search of emotional faces: The role of affective content and featural distinctiveness
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DOI：
10.1080/02699930802151654
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发表时间：
2009-01-01
影响因子：
2.6
通讯作者：
Marrero, Hipolito
中科院分区：
文献类型：
--
作者：
Calvo, Manuel G.;Marrero, Hipolito
我们调查了一些情绪面部表情的视觉搜索优势的来源。一个情绪化的脸目标（高兴，惊讶，厌恶，恐惧，愤怒，或悲伤）在一系列中性的面孔。发现快乐目标的检测速度更快，而愤怒，特别是悲伤目标的检测效果更差。物理图像属性（e.例如，在一个实施例中，亮度）被排除作为视觉搜索中这些差异的潜在来源。相比之下，搜索优势部分是由于情感内容的促进处理，如情感识别任务所示。快乐的表情比其他表情更快被识别出来，并且不太可能与中性的表情混淆，而对愤怒和悲伤的表情更容易发生误判。然而，一些地方特色（e。例如，在一个实施例中，牙齿）在搜索优势模式中起着最强的作用。当这些特征对视觉搜索的贡献被统计出来时，优势就消失了。
We investigated the source of the visual search advantage of some emotional facial expressions. An emotional face target (happy, surprised, disgusted, fearful, angry, or sad) was presented in an array of neutral faces. A faster detection was found for happy targets, with angry and, especially, sad targets being detected more poorly. Physical image properties (e. g., luminance) were ruled out as a potential source of these differences in visual search. In contrast, the search advantage is partly due to the facilitated processing of affective content, as shown by an emotion identification task. Happy expressions were identified faster than the other expressions and were less likely to be confounded with neutral faces, whereas misjudgements occurred more often for angry and sad expressions. Nevertheless, the distinctiveness of some local features (e. g., teeth) that are consistently associated with emotional expressions plays the strongest role in the search advantage pattern. When the contribution of these features to visual search was factored out statistically, the advantage disappeared.