Where to look next? Eye movements reduce local uncertainty
Where to look next? Eye movements reduce local uncertainty
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DOI：
10.1167/7.3.6
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发表时间：
2007-01-01
影响因子：
1.8
通讯作者：
Coughlan, James
中科院分区：
文献类型：
--
作者：
Renninger, Laura Walker;Verghese, Preeti;Coughlan, James
我们如何决定下一步去哪里看？在自然的、主动的视觉过程中，我们移动眼睛从视觉场景中收集与任务相关的信息。信息论为研究视觉刺激信息如何与先验知识和任务目标相结合来规划眼球运动提供了一个优雅的框架。我们测量了观察者在执行形状学习和匹配任务时的眼球运动，在这个任务中，与任务相关的信息是严格控制的。使用计算模型，我们探索了观察者在计划下一个眼球运动时使用的潜在策略。一种策略是将眼睛移动到最大限度地获得有关形状的总信息的位置，这相当于减少了全局的不确定性。观察者的行为可能看起来与这种策略高度相似，但对连续注视位置的严格分析表明，观察者可能使用的是一种局部规则：只注视信息最多的位置，即减少局部不确定性。
How do we decide where to look next? During natural, active vision, we move our eyes to gather task-relevant information from the visual scene. Information theory provides an elegant framework for investigating how visual stimulus information combines with prior knowledge and task goals to plan an eye movement. We measured eye movements as observers performed a shape-learning and -matching task, for which the task-relevant information was tightly controlled. Using computational models, we probe the underlying strategies used by observers when planning their next eye movement. One strategy is to move the eyes to locations that maximize the total information gained about the shape, which is equivalent to reducing global uncertainty. Observers' behavior may appear highly similar to this strategy, but a rigorous analysis of sequential fixation placement reveals that observers may instead be using a local rule:fixate only the most informative locations, that is, reduce local uncertainty.