非沉浸式虚拟现实与沉浸式虚拟现实之间的情感识别差异:精神分裂症和双相情感障碍的初步发现
Mauro Scala1,2,3,4, Daniel Sánchez-Reolid5,6, Roberto Sánchez-Reolid5,6,7
1Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy.
International clinical psychopharmacology
|December 6, 2024
概括
患有精神分裂症和双相情感障碍 (BD) 的患者使用虚拟现实显示面部情感识别 (FER) 功能受损. 精神分裂症患者的准确性低于健康对照组,而BD患者则显示中间结果,特别是负面情绪.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 虚拟现实应用 虚拟现实应用
背景情况:
- 社会认知缺陷会影响双相情感障碍 (BD) 和精神分裂症的情绪处理.
- 传统的面部情感识别 (FER) 研究使用静态图像,限制了生态有效性.
- 动态虚拟面孔为评估FER提供了更现实的方法.
研究的目的:
- 评估精神分裂症和BD患者的FER准确度,使用沉浸式和非沉浸式虚拟现实中的动态虚拟面孔.
- 为了比较精神分裂症,BD和健康对照 (HCs) 之间的FER准确性.
- 调查虚拟现实设置对FER的影响.
主要方法:
- 开发动态虚拟面孔,描绘六种基本情绪和中性表情.
- 在沉浸式和非沉浸式虚拟现实环境中呈现虚拟面孔.
- 在精神分裂症患者 (n=10),BD (n=10) 和HC (n=10) 中评估FER准确度.
主要成果:
- 精神分裂症和BD患者在两个虚拟现实环境中都表现出类似的FER精度.
- 与HC相比,精神分裂症患者的FER准确性明显较低.
- BD患者显示FER准确度中等,识别负面情绪显著受损.
结论:
- 动态虚拟现实是评估精神病患者群体FER的一个可行的工具.
- 精神分裂症和BD都与FER受损相关,精神分裂症显示出更明显的缺陷.
- 识别负面情绪的缺陷是这两组患者的一个关键特征.
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