用计算模型重审儿童心理旋转能力，发现幼童表现或无需真正心理旋转。
Re-assessing the evidence for mental rotation abilities in children using computational models
- 用模拟婴儿物体认知发展的计算模型检验儿童心理旋转
- 6个月至5岁儿童行为可用像素级比对策略解释
- 质疑现有证据，提示心理旋转可能晚于5岁才出现
成人存在强有力的多元证据支持心理旋转（MR）能力。然而，当前关于儿童的证据仅基于少数从成人研究改编的行为范式。本文利用近期关于儿童物体认知发展的计算模型，重新评估儿童心理旋转的证据。这些模型模拟了婴儿在与物体的具身互动中获得物体表征的过程。我们考察了两种不同于心理旋转的物体识别策略，并评估其能否复现针对6个月至5岁儿童的经典心理旋转任务结果。结果显示，对于5岁以下儿童，心理旋转可能并未发挥作用；事实上，一种反映刺激像素级比较的简单识别策略已足以解释最常用的心理旋转任务中的儿童行为。因此，本研究重新开启了关于儿童何时及如何发展真实心理旋转能力的讨论。
原文摘要 · Abstract (English)
There is strong and diverse evidence for mental rotation (MR) abilities in adults. However, current evidence for MR in children rests on just a few behavioral paradigms adapted from the adult literature. Here, we leverage recent computational models of the development of children's object recognition abilities to re-assess the evidence for MR in children. The computational models simulate infants' acquisition of object representations during embodied interactions with objects. We consider two different object recognition strategies, different from MRs, and assess their ability to replicate results from three classical MR tasks assigned to children between the ages of 6 months and 5 years. Our results show that MR may play no role in producing the results obtained from children younger than 5 years. In fact, we find that a simple recognition strategy that reflects a pixel-wise comparison of stimuli is sufficient to model children's behavior in the most used MR task. Thus, our study reopens the debate on how and when children develop genuine MR abilities.
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