人类可以从决策速度单独推断社会偏好
Sophie Bavard1, Erik Stuchlý1, Arkady Konovalov2
1Department of Psychology, University of Hamburg, Hamburg, Germany.
PLoS biology
|June 20, 2024
概括
响应时间 (RT) 揭示了社会偏好,即使没有观察选择. 这项研究表明,人们仅仅从RT中推断出他人的偏好,从而挑战了先前的学习模型.
科学领域:
- 认知科学 认知科学
- 社会心理学 社会心理学
- 神经科学是一个神经科学.
背景情况:
- 人类从观察到的决定中推断出他人的偏好.
- 从选择中进行观察式学习已经得到了很好的研究.
- 响应时间 (RT) 在社会偏好学习中的作用尚未得到充分探索.
研究的目的:
- 调查选择和RT如何为学习他人的社会偏好做出贡献.
- 确定单独的RT是否足以推断社会偏好.
- 开发一个观察式社会学习的计算模型.
主要方法:
- 预先注册的直角设计,参与者观察独裁者游戏的行为.
- 信息条件:只有选择,只有RT,选择和RT,或没有信息.
- 将行为分析与计算建模结合起来.
主要成果:
- RT是社会偏好的重要预测因素.
- 参与者仅仅从RT信息中成功推断出社会偏好.
- 一个新的观察强化学习模型准确匹配了人类的推断.
- 观察到的人类学习偏离贝叶斯关于选择与RT信息的预测.
结论:
- 响应时间为推断社会偏好提供了丰富的信息来源.
- 人类的观察学习表明了复杂性,但也有局限性.
- 这些发现挑战了现有的社会学习和贝叶斯推理模型.
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