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Logistic Mixed Models to Investigate Implicit and Explicit Belief Tracking

机译:用于隐式和显式信念跟踪的逻辑混合模型

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摘要

We investigated the proposition of a two-systems Theory of Mind in adults’ belief tracking. A sample of N = 45 participants predicted the choice of one of two opponent players after observing several rounds in an animated card game. Three matches of this card game were played and initial gaze direction on target and subsequent choice predictions were recorded for each belief task and participant. We conducted logistic regressions with mixed effects on the binary data and developed Bayesian logistic mixed models to infer implicit and explicit mentalizing in true belief and false belief tasks. Although logistic regressions with mixed effects predicted the data well a Bayesian logistic mixed model with latent task- and subject-specific parameters gave a better account of the data. As expected explicit choice predictions suggested a clear understanding of true and false beliefs (TB/FB). Surprisingly, however, model parameters for initial gaze direction also indicated belief tracking. We discuss why task-specific parameters for initial gaze directions are different from choice predictions yet reflect second-order perspective taking.
机译:我们研究了成年人信仰追踪中的两种系统的心理理论的命题。 N = 45名参与者的样本在观看动画纸牌游戏中的几轮后,预测会选择两个对手玩家之一。玩了这场纸牌游戏的三场比赛,并记录了针对每个信念任务和参与者的目标初始注视方向和随后的选择预测。我们对二进制数据进行了混合影响的逻辑回归,并开发了贝叶斯逻辑混合模型,以推断对真实信念和错误信念任务的内隐和外显思维。尽管具有混合效果的逻辑回归可以很好地预测数据,但是具有潜在任务和主题特定参数的贝叶斯逻辑混合模型可以更好地说明数据。如预期的那样,明确的选择预测表明对真假信念(TB / FB)有清晰的理解。但是,令人惊讶的是,初始注视方向的模型参数也表明了置信度跟踪。我们讨论了为什么初始注视方向的特定于任务的参数与选择预测不同,却反映了二阶观点。

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