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Proportional Hazards Modeling of Saccadic Response Times During Reading

机译:阅读过程中偶发响应时间的比例危害建模

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In this article we use proportional hazards models to examine how low-level processes affect the probability of making a saccade over time, through the period of fixation, during reading. We apply the Cox proportional hazards model to investigate how launch distance (relative to word beginning), fixation location (relative to word center), and word frequency affect the hazard of a saccadic response. This model requires that covariates have a constant impact on the hazard over time, the assumption of proportional hazards. We show that this assumption is not supported. The impact of the covariates changes with the time passed since fixation onset. To account for the non-proportional hazards we fit step functions of time, resulting in a model with time-varying effects on the hazard. We evaluate the ability to predict the timing of saccades on held-out fixation data. The model with time-varying effects performs better in predicting the timing of saccades for fixations as short as 100 ms and as long as 500 ms, when compared both to a baseline model without covariates and a model which assumes constant covariate effects. This result suggests that the time-varying effects model better recovers the time course of low-level processes that influence the decision to move the eyes.
机译:在本文中,我们使用成比例的危害模型来检查在阅读过程中,整个固定过程中,低水平的过程如何影响随时间推移进行扫视的可能性。我们应用Cox比例风险模型来研究发射距离(相对于单词开头),注视位置(相对于单词中心)和单词频率如何影响跳字反应的危害。该模型要求协变量随时间(假设为比例风险)对危害具有恒定的影响。我们表明不支持此假设。自固定开始以来,协变量的影响随时间的流逝而变化。为了解决非比例风险,我们拟合了时间的阶跃函数,生成了一个对危害具有时变影响的模型。我们评估了根据固定的数据预测扫视时间的能力。与不带协变量的基线模型和假定恒定协变量效应的模型相比,具有时变效应的模型在短至100毫秒和长至500毫秒的固定注视的扫视时间预测中表现更好。该结果表明,时变效应模型可以更好地恢复影响决策运动的低级过程的时间过程。

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