人工智能增强的自然主义社会互动分析描述了精神分裂症中相互影响的障碍
Marco Kramer1, Dustin Hirsch1, Anesa Sacic1
1Dept. of Psychiatry, LWL University Hospital, Ruhr University Bochum, Germany.
Journal of psychiatric research
|August 17, 2024
概括
精神分裂症患者表现出情绪反应减弱和面部模仿能力受损,特别是对积极情绪,导致社会缺陷. 这些发现突出了在社交互动期间相互调整的挑战.
科学领域:
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
背景情况:
- 社会缺陷是精神分裂症的核心特征,通常与受损的相互影响性有关.
- 关于模仿和精神分裂症社会同步的先前研究产生了不一致的结果,并且往往缺乏现实世界的适用性.
研究的目的:
- 研究精神分裂症患者在自然环境中的二极交互期间的相互影响行为.
- 用先进的AI和行为编码来分析面部表情,模仿和情绪同步.
主要方法:
- 20名精神分裂症患者和20名对照人群与一个健康参与者一起玩了一场合作式的棋盘游戏.
- 面部表情分析使用了Affectiva Emotion AI,随机性和状态空间由Mangold INTERACT进行评估.
- 精神病症状,压力,情感和游戏经验通过问卷进行测量;采用年龄调整的ANCOVA.
主要成果:
- 尽管有相似的主观经验,但精神分裂症患者对积极影响的反应减少,对快乐表达的模仿能力受损.
- 精神分裂症患者的面部表情通常更为消极 (增加悲伤,减少快乐),与形情绪相关.
- 涉及精神分裂症患者的双向相互作用显示,对共享的积极情绪状态的相互吸引力较小.
结论:
- 受损的相互影响过程,包括减少积极影响的反应和模仿,有助于精神分裂症的社会功能障碍.
- 研究结果表明,精神分裂症患者在调整相互相互作用动态方面存在缺陷.
- 这项研究为理解和潜在地治疗精神分裂症中社会认知缺陷提供了新的方向.
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