探索高和低问题互联网使用人之间的面部表情识别和混的差异:来自行为和ERP的证据
1Department of psychology, Tianjin University of Technology and Education, Tianjin 300222, China.
概括
问题性互联网使用 (PIU) 个体表现出较差的面部表情识别能力,特别是对于负面情绪. 侵略性是与面部情感感知这些困难相关的关键因素.
科学领域:
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 社会科学 社会科学 社会科学
背景情况:
- 准确的面部表情识别对于社交互动至关重要.
- 问题性互联网使用 (PIU) 可能会损害社会认知.
- 在各种临床群体中观察到情绪识别的缺陷.
研究的目的:
- 为了比较高PIU (HPIU) 和低PIU (LPIU) 个体之间的面部表情识别能力.
- 为了研究HPIU个体中情绪识别的神经相关性.
- 探索与PIU面部表情识别受损相关的心理社会因素.
主要方法:
- 进行了三个实验:一个六个替代性的强制选择任务,一个情绪表达多形态任务和与事件相关的潜力 (ERP).
- 参与者包括被归类为HPIU和LPIU的个人.
- 心理社会评估包括侵略,社会隔离,焦虑和防御风格的措施.
主要成果:
- 与LPIU个人相比,HPIU个人在识别基本情绪方面表现出明显较低的准确性.
- 在识别愤怒和厌恶表达时,HPIU个体犯的错误更多.
- 在HPIU个体中,ERP数据显示了更高的N170振幅对HPIU个体的愤怒,表明早期处理发生了改变.
- 在HPIU个体中,更高的侵略水平与更差的面部表情识别性能有显著的相关性.
结论:
- 患有PIU的个体在面部表情识别方面表现出缺陷,特别是在消极情绪方面.
- 攻击性成为PIU中情绪识别受损的重要心理社会相关因子.
- 这些发现凸显了对PIU相关社会认知缺陷的神经认知和心理社会基础的进一步研究的需要.
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