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Judging words at face value : interference in a word processing task reveals automatic processing of affective facial expressions

机译:从字面值判断单词:对文字处理任务的干预揭示了对情感面部表情的自动处理

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摘要

Earlier research has indicated that some characteristics of facial expressions may be automatically processed. This study investigated automaticity as evidenced by involuntary interference in a word evaluation task. Compound stimuli, consisting of words superimposed on pictures of affective faces, were presented to subjects who were given the task of evaluating the affective valence of the words while disregarding the faces. Results of three experiments showed that word evaluation was influenced by the concurrently shown affective faces. Overall, negative words were found to require longer latencies, indicating that more processing resources are invested in negative than in positive stimuli. This speed advantage for positive words was modified by the faces. Negative words were facilitated, relative to positive ones, when shown with a negative expression, e.g. a sad face. Correspondingly, negative words were inhibited, relative to positive ones, when shown with a positive expression, e.g. a happy face. The results are consistent with automatic, involuntary semantic processing of affective facial expressions.
机译:较早的研究表明,面部表情的某些特征可能会自动处理。这项研究调查了自动性,这在单词评估任务中受到非自愿干扰的证明。向对象提供了复合刺激,这些刺激由叠加在情感面孔图片上的单词组成,这些对象的任务是在不考虑面孔的情况下评估单词的情感价。三个实验的结果表明,单词评价受同时显示的情感面孔的影响。总体而言,发现负面词需要更长的等待时间,这表明负面情绪比正面情绪投入了更多的处理资源。正词的这种速度优势已被面部修改。与否定词相比,当否定词以否定表示(例如,悲伤的脸。相应地,当以正向表示时,例如相对于正向,则消极词被抑制。一张幸福的脸。结果与情感面部表情的自动,非自愿语义处理一致。

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