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The misclassification of facial expressions in generalised social phobia.

机译:社交恐惧症中面部表情的错误分类。

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The aim of this study was to investigate facial expression recognition (FER) accuracy in social phobia and in particular to explore how facial expressions of emotion were misclassified. We hypothesised that compared with healthy controls, subjects with social phobia would be no less accurate in their identification of facial emotions (as reported in previous studies) but that they would misclassify facial expressions as expressing threatening emotions (anger, fear or disgust). Thirty individuals with social phobia and twenty-seven healthy controls completed a FER task which featured six basic emotions morphed using computer techniques between 0 percent (neutral) and 100 percent intensity (full emotion). Supporting our hypotheses we found no differences between the groups on measures of the accuracy of emotion recognition but that compared with healthy controls the social phobia group were more likely both to misclassify facial expressions as angry and to interpret neutral facial expressions as angry. The healthy control group were more likely to misclassify neutral expressions as sad. The importance of the role of these biases in social phobia needs further replication but may help in understanding the disorder and provide an interesting area for future research and therapy.
机译:这项研究的目的是调查社交恐惧症中的面部表情识别(FER)准确性,尤其是探讨如何将面部表情的情感分类错误。我们假设与健康对照相比,社交恐惧症患者的面部表情识别同样准确(如先前的研究报道),但他们会将面部表情误分类为表达威胁性表情(愤怒,恐惧或厌恶)。 30名社交恐惧症患者和27名健康对照者完成了FER任务,该任务具有6种基本情感,这些情感是通过计算机技术在0%(中性)和100%强度(完全情感)之间变形的。支持我们的假设,我们发现两组之间在情绪识别准确性的度量上没有差异,但是与健康对照组相比,社交恐惧症组更可能将面部表情错误分类为愤怒,并且将中性面部表情解释为愤怒。健康对照组更有可能将中性表达错误分类为悲伤。这些偏见在社交恐惧症中的作用的重要性需要进一步复制,但可能有助于理解这种疾病,并为将来的研究和治疗提供了一个有趣的领域。

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