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When the eyes no longer lead: Familiarity and length effects eye-voice span

机译:当眼睛不再领先时:熟悉和长度会影响眼睛的声音范围

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摘要

During oral reading, the eyes tend to be ahead of the voice (eye-voice span, EVS). It has been hypothesized that the extent to which this happens depends on the automaticity of reading processes, namely on the speed of print-to-sound conversion. We tested whether EVS is affected by another automaticity component – immunity from interference. To that end, we manipulated word familiarity (high-frequency, lowfrequency, and pseudowords, PW) and word length as proxies of immunity from interference, and we used linear mixed effects models to measure the effects of both variables on the time interval at which readers do parallel processing by gazing at word N C 1 while not having articulated word N yet (offset EVS). Parallel processing was enhanced by automaticity, as shown by familiarity length interactions on offset EVS, and it was impeded by lack of automaticity, as shown by the transformation of offset EVS into voice-eye span (voice ahead of the offset of the eyes) in PWs. The relation between parallel processing and automaticity was strengthened by the fact that offset EVS predicted reading velocity. Our findings contribute to understand how the offset EVS, an index that is obtained in oral reading, may tap into different components of automaticity that underlie reading ability, oral or silent. In addition, we compared the duration of the offset EVS with the average reference duration of stages in word production, and we saw that the offset EVS may accommodate for more than the articulatory programming stage of word N.
机译:在口头阅读过程中,眼睛往往位于声音之前(眼声跨度,EVS)。假设发生这种情况的程度取决于读取过程的自动化程度,即取决于打印到声音转换的速度。我们测试了EVS是否受另一个自动化组件的影响–抗干扰能力。为此,我们操纵了单词熟悉度(高频,低频和伪单词,PW)和单词长度作为抗干扰能力的代表,并且我们使用线性混合效应模型来测量两个变量对时间间隔的影响。阅读器通过注视单词NC 1来进行并行处理,同时还没有清楚地表达单词N(偏移EVS)。并行处理通过自动增强,如偏移EVS上的熟悉度长度交互所示,而并行处理则由于缺乏自动化而受到阻碍,如偏移EVS转换为声像跨度(语音在眼偏移之前)所示。 PW。偏移量EVS预测读取速度的事实加强了并行处理与自动化之间的关系。我们的发现有助于理解偏移EVS(一种通过口头阅读获得的指标)如何利用自动性的不同成分,这些成分构成口头或沉默阅读能力的基础。此外,我们将偏移量EVS的持续时间与单词产生阶段的平均参考持续时间进行了比较,我们发现偏移量EVS可能比单词N的发音编程阶段所能容纳的更多。

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