Do infants' gaze sequences predict their looking time? Testing the sequential-learnability model

M. Schlesinger, Scott P. Johnson, Dima Amso
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引用次数: 3

Abstract

We recently demonstrated that the gaze sequences produced by infants during an habituation event predict their looking times to both the habituation and (one of two) posthabituation test events [1]. Specifically, we trained a simple recurrent network (SRN) to predict infants' habituation gaze sequences. Sequences that were easier for the SRN to learn were associated with shorter looking times at the end of habituation, as well as longer looking times to one of two posthabituation test events. In the current study, we extended these findings by applying the sequential-learnability model to a new set of looking-time data, in which an important visual cue was removed from the habituation and test events. Following our previous work, we predicted that “learnability” of infants' habituation gaze sequences would predict their habituation looking time. However, unlike the previous study, we also predicted that habituation gaze sequences would not predict looking time to either of the posthabituation test events. The results were consistent with both of these predictions.
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婴儿的凝视序列能预测他们的注视时间吗?测试顺序学习性模型
我们最近证明,婴儿在习惯化事件中产生的凝视序列预测了他们对习惯化和(两个中的一个)习惯化后测试事件的注视时间[1]。具体来说,我们训练了一个简单的循环网络(SRN)来预测婴儿的习惯注视序列。对于SRN来说,更容易学习的序列与习惯化结束时更短的观察时间有关,同时与两个适应后测试事件之一的更长时间有关。在当前的研究中,我们将顺序可学习性模型应用于一组新的观看时间数据,其中从习惯化和测试事件中删除了重要的视觉线索,从而扩展了这些发现。根据我们之前的研究,我们预测婴儿习惯凝视序列的“可学习性”将预测他们的习惯观看时间。然而,与之前的研究不同的是,我们还预测,习惯化凝视序列不能预测对任何一种情境后测试事件的注视时间。结果与这两种预测一致。
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