Using reinforcement learning to understand the emergence of "intelligent" eye-movement behavior during reading
Using reinforcement learning to understand the emergence of "intelligent" eye-movement behavior during reading
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DOI：
10.1037/0033-295x.113.2.390
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发表时间：
2006-04-01
影响因子：
5.4
通讯作者：
Laurent, PA
中科院分区：
文献类型：
--
作者：
Reichle, ED;Laurent, PA
熟练读者的眼球运动通常是非常有规律的（K。Rayner，1998）。这种规律性可能是由于读者的感知、认知和运动限制（例如，有限的视敏度）和任务的固有约束（例如，以正确的顺序识别单词）。为了验证这一假设，强化学习被用来让人工“代理”学习移动眼睛以尽可能有效地阅读。由此产生的模拟眼动模式类似于熟练的读者，并建议眼动行为的重要方面可能会出现的结果，满足对读者的约束。这些结果也为一些有争议的实验结果提供了新的解释，例如与单词跳跃相关的固定持续时间成本（R。克利格尔河Engbert，2005）和理论假设，例如眼动控制的E-Z Reader模型中的熟悉度检查（E。D. Reichle，A. Pollatsek，D. L. Fisher，& K. Rayner，1998）。
The eye movements of skilled readers are typically very regular (K. Rayner, 1998). This regularity may arise as a result of the perceptual, cognitive, and motor limitations of the reader (e.g., limited visual acuity) and the inherent constraints of the task (e.g., identifying the words in their correct order). To examine this hypothesis, reinforcement learning was used to allow an artificial "agent" to learn to move its eyes to read as efficiently as possible. The resulting patterns of simulated eye movements resembled those of skilled readers and suggest that important aspects of eye-movement behavior might emerge as a consequence of satisfying the constraints that are imposed on readers. These results also suggest novel interpretations of some contentious empirical results, such as the fixation duration costs associated with word skipping (R. Kliegl & R. Engbert, 2005), and theoretical assumptions, for example the familiarity check in the E-Z Reader model of eye-movement control (E. D. Reichle, A. Pollatsek, D. L. Fisher, & K. Rayner, 1998).