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Noise-enhanced performance in reading

机译:阅读时的噪音增强性能

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When we read a text, typical sequences of fixations on words form a rather complicated trajectory―almost like a random walk. This complex behaviour is the result of the interplay between lexical processing and programming of saccadic eye movements, the two processes that drive eye movements during reading. Stochastic fluctuations are present in both subsystems. We use a minimal three-state model with residence time-dependent transition probabilities to study the role of stochasticity. In particular, we investigate the influence of noise on reading time by numerical simulations. Our model suggests that performance in reading is enhanced by an intermediate level of noise in lexical processing.
机译:当我们阅读文本时,典型的单词注解序列会形成相当复杂的轨迹-几乎就像是随机漫步。这种复杂的行为是词汇处理和眼动眼动程序编程之间相互作用的结果,这是在阅读过程中驱动眼动的两个过程。两个子系统中都存在随机波动。我们使用最小三态模型与驻留时间相关的转移概率来研究随机性的作用。特别是,我们通过数值模拟研究了噪声对读取时间的影响。我们的模型表明,词汇处理中的中等水平的噪声会增强阅读性能。

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