面对变化:使用自动化面部表情分析来检查抑郁症治疗中的情绪灵活性
Dana Atzil Slonim1, Ido Yehezkel2, Adar Paz2
1Department of Psychology, Bar-Ilan University, Ramat-Gan, Israel. dana.slonim@gmail.com.
Administration and policy in mental health
|October 25, 2023
概括
情绪灵活性,适应情绪的能力,对于治疗抑郁症至关重要. 客户更高的情绪灵活性与治疗期间抑郁症状的减少有关.
科学领域:
- 心理学 心理学 心理学
- 精神病学是一个精神病学.
- 计算机科学 计算机科学
背景情况:
- 抑郁症的特点是情绪不灵活.
- 目前在治疗中测量情绪过程的方法依赖于在离散间隔的主观报告.
- 需要持续,客观的措施来理解抑郁症治疗期间的动态情绪变化.
研究的目的:
- 检查情绪灵活性与抑郁症状之间的关联.
- 在客户端和会话层面调查这些关联.
- 评估计算机化面部表情分析在抑郁症研究中的有用性.
主要方法:
- 观察性研究分析了283次治疗会议的视频录像.
- 使用自动面部表情识别来测量情绪灵活性.
- 使用贝克抑郁 inventory-II.II评估的抑郁水平.
主要成果:
- 在更高的情绪灵活性和较低的抑郁症状之间发现了显著的关联.
- 这种关联在客户端和会话层面都被观察到.
- 计算机测量有效地捕获了抑郁症治疗中的情绪过程.
结论:
- 情绪灵活性是抑郁症的一个关键特征,既是稳定的特征,也是波动的状态.
- 面部表情的自动分析提供了一种可扩展和特定的方法来研究抑郁症中的情绪动态.
- 研究结果支持在治疗研究和实践中整合客观,持续的情感测量.
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