Virtual faces as a tool to study emotion recognition deficits in schizophrenia
Virtual faces as a tool to study emotion recognition deficits in schizophrenia
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DOI：
10.1016/j.psychres.2009.11.004
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发表时间：
2010-10-30
影响因子：
11.3
通讯作者：
Mathiak, Klaus
中科院分区：
文献类型：
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作者：
Dyck, Miriam;Winbeck, Maren;Mathiak, Klaus
研究精神分裂症患者情绪识别的研究主要提供面部表情的照片。虚拟现实（VR）可以提供更好的控制和更高的情感显示灵活性。VR允许操纵面部表情，并可以在受控且更自然的环境中模拟社交互动。然而，据我们所知，没有研究系统地调查精神分裂症患者是否表现出相同的情绪识别缺陷时，情绪表达的虚拟相比，自然的面孔。20名精神分裂症患者和20名对照组对自然和虚拟面孔的图片进行了基本情感表达（快乐，悲伤，愤怒，恐惧，厌恶和中立）的评分。与我们的假设一致，结果显示，情绪识别障碍也出现了虚拟人物表达的情绪。与自然表达相比，虚拟表达只包含主要的情感特征，精神分裂症患者似乎已经在识别基本情感特征方面受损。这一发现具有实际意义，因为它支持将虚拟情感表达用于精神病学研究：改变面部特征，动画化身面部和创建治疗模拟的容易性使得经过验证的人工表情非常适合研究和治疗精神分裂症的情感识别缺陷。(C)2009爱思唯尔爱尔兰有限公司保留所有权利。
Studies investigating emotion recognition in patients with schizophrenia predominantly presented photographs of facial expressions. Better control and higher flexibility of emotion displays could be afforded by virtual reality (VR). VR allows the manipulation of facial expression and can simulate social interactions in a controlled and yet more naturalistic environment. However, to our knowledge, there is no study that systematically investigated whether patients with schizophrenia show the same emotion recognition deficits when emotions are expressed by virtual as compared to natural faces. Twenty schizophrenia patients and 20 controls rated pictures of natural and virtual faces with respect to the basic emotion expressed (happiness, sadness, anger, fear, disgust, and neutrality). Consistent with our hypothesis, the results revealed that emotion recognition impairments also emerged for emotions expressed by virtual characters. As virtual in contrast to natural expressions only contain major emotional features, schizophrenia patients already seem to be impaired in the recognition of basic emotional features. This finding has practical implication as it supports the use of virtual emotional expressions for psychiatric research: the ease of changing facial features, animating avatar faces, and creating therapeutic simulations makes validated artificial expressions perfectly suited to study and treat emotion recognition deficits in schizophrenia. (C) 2009 Elsevier Ireland Ltd. All rights reserved.