量化了字长、词频和可预测性对阅读障碍者的影响
Quantifying the Effects of Word Length, Frequency, and Predictability on Dyslexia
- 通过眼动数据建模三类词特征对阅读时间的影响
- 阅读障碍者对可预测性的敏感度更高，且三者共同缩小30%差距
- 结果支持语言工作记忆理论，为干预提供实证依据
我们研究了在大规模自然阅读数据中，阅读障碍者的阅读成本出现在何处以及在何种条件下产生。利用与词级特征（字长、词频、可预测性）对齐的眼动追踪数据，我们建模了每种特征如何影响阅读障碍者与正常读者的阅读时间差异。结果发现，这三项特征在两类读者中均显著影响阅读时间，而阅读障碍者对各项特征的敏感度更强，尤其在可预测性方面。通过对这些特征进行反事实调整，阅读障碍者与正常读者之间的阅读时间差距缩小了约三分之一，其中可预测性效应最强，其次为字长和词频。这些模式符合阅读障碍理论中关于语言工作记忆和语音编码需求增高的假设，并提示未来研究应聚焦词汇复杂性和周边预览优势以解释剩余差距。简言之，本研究量化了阅读障碍额外成本出现的时机、规模，并为干预策略和计算模型提供了可操作指导。
原文摘要 · Abstract (English)
We ask where, and under what conditions, dyslexic reading costs arise in a large-scale naturalistic reading dataset. Using eye-tracking aligned to word-level features (word length, frequency, and predictability), we model how each feature influences dyslexic time costs. We find that all three features robustly change reading times in both typical and dyslexic readers, and that dyslexic readers show stronger sensitivities to each, especially predictability. Counterfactual manipulations of these features substantially narrow the dyslexic-control gap by about one third, with predictability showing the strongest effect, followed by length and frequency. These patterns align with dyslexia theories that posit heightened demands on linguistic working memory and phonological encoding, and they motivate further work on lexical complexity and parafoveal preview benefits to explain the remaining gap. In short, we quantify when extra dyslexic costs arise, how large they are, and offer actionable guidance for interventions and computational models for dyslexics.
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