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Individual Differences in Eye-Movements During Reading: Working Memory and Speed-of-Processing Effects

机译:阅读期间眼动脉的个体差异:工作记忆和处理速度效果

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摘要

Theories of eye-movement control in reading should ultimately describe how differences in knowledge and cognitive abilities affect reading and comprehension. Current mathematical models of eye-movement control do not yet incorporate individual differences as a source of variation in reading, although developmental and group-difference effects have been studied. These models nonetheless provide an excellent foundation for describing and explaining how and why patterns of eye-movements differ across readers (e.g., ). Our focus in this article is on two aspects of individual variation: global processing speed (e.g., ) and working-memory capacity (e.g., ). Using Hierarchical Linear Modeling (HLM) (), we tested the extent to which overall reading speed and working-memory capacity moderate the degree to which syntactic and semantic information affect fixation times. Previous published data (Traxler et al., 2005) showed that working memory capacity and syntactic complexity interacted to determine fixation times in an eye-movement monitoring experiment. In a new set of models based on this same data set, we found that working-memory capacity interacted with sentence-characteristic variables only when processing speed was not included in the model. We interpret these findings with respect to current accounts of sentence processing and suggest how they might be incorporated into eye-movement control models.
机译:阅读中的眼球运动控制应最终描述知识和认知能力的差异如何影响阅读和理解。目前的眼球运动控制数学模型尚未将个体差异作为阅读的变化来源,尽管已经研究了发展和组差异效应。这些型号仍然为描述和解释在读者(例如,)跨越读者(例如,)中的图像不同的方式和原因提供了优异的基础。我们在本文中的重点是个人变体的两个方面:全球处理速度(例如,)和工作记忆容量(例如,)。使用分层线性建模(HLM)(),我们测试了整体读取速度和工作记忆库容量的程度,适度的句法和语义信息影响固定时间的程度。以前公布的数据(Traxler等,2005)表明,工作记忆力和句法复杂性相互作用,以确定眼部运动监测实验中的固定时间。在基于此相同数据集的新型模型中,我们发现在模型中未包含处理速度时,才与句子特征变量相互作用的工作内存容量。我们在句子处理的当前账户方面解释这些调查结果,并建议如何将它们纳入眼部运动控制模型。

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