情绪调节,快速或缓慢:战略选择的计算模型
Jonas Petter1, Ashish Mehta1, Kate Petrova1
1Department of Psychology, Stanford University.
Emotion (Washington, D.C.)
|February 18, 2025
概括
研究人员将情绪调节理论翻译成数学语言,以更好地理解战略选择. 一个计算模型解释了为什么人们更喜欢高情绪强度的分心和低强度的重新评估.
科学领域:
- 情感科学是一种情感科学.
- 认知心理学 认知心理学
- 计算建模计算建模
背景情况:
- 情绪调节策略有各种各样的后果,促使研究影响策略选择的因素.
- 现有的理论主要是自然语言,限制了准确性和可测试性.
研究的目的:
- 将情绪调节策略选择的语言理论翻译成正式的数学语言.
- 开发一个计算模型,解释分心与重新评估的强度依赖偏好.
主要方法:
- 现有理论的正式化成数学语言.
- 基于正式理论的计算模型的开发.
- 模型与情绪调节策略选择的经验研究结果的验证.
主要成果:
- 理论的正式化揭示了潜在的假设和研究缺陷.
- 由此产生的计算模型准确地预测了基于情绪强度的战略选择的经验观察.
- 证明了数学正式化在推进情感科学的有用性.
结论:
- 数学形式化增强了理论的清晰度,并在情绪调节研究中产生了可测试的假设.
- 开发的模型提供了一个精确的解释,观察到战略偏好与情感强度的转变.
- 这种方法可以加速情感科学的进步,并为适应性情感调节的干预提供信息.
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