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Hemispheric asymmetries in visual search

机译：视觉搜索中的半球不对称

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摘要

We conducted two visual search experiments, and found that target-detection accuracy and speed were better when the target was projected to the right hemisphere in the feature search condition and better when the target was projected to the left hemisphere in the feature-conjunction search condition. We propose that the highly efficient, so-called parallel search performance characteristic of feature search is enabled by a broadly distributed, global view of the visual field, and the right hemisphere is more efficient than the left in such global processing. On the other hand, the less-efficient performance characteristic of conjunction search (demonstrated by the set-size effect) involves serial shifts of focused attention, and the left hemisphere is more efficient than the right in such localised attentional processing. We suggest that hemispheric asymmetries observed in visual search are related to the attentional demands of the task, and that we adjust our attentional distribution to fit task difficulty. When the target is very distinct, a global, low-resolution attentional distribution is sufficient, and enables parallel search; but a localised, narrow-aperture attentional distribution is sometimes necessary to find targets that either require feature binding, or are very similar to other "distractor" stimuli in terms of compositional attributes.
机译：我们进行了两次视觉搜索实验，发现在特征搜索条件下将目标投射到右半球时，目标检测的准确性和速度更好，在特征结合条件下将目标投射到左半球时，目标检测精度和速度更好。 。我们建议通过视野的广泛分布的全局视图来实现特征搜索的高效，所谓的并行搜索性能特征，并且在这种全局处理中，右半球比左半球更有效。另一方面，合取搜索的效率较低的性能特征（由集合大小效应证明）涉及集中注意力的连续移位，并且在这种局部注意力处理中，左半球比右半球更有效。我们建议在视觉搜索中观察到的半球不对称与任务的注意力需求有关，并且我们调整注意力分布以适应任务难度。当目标非常不同时，全局的低分辨率注意力分布就足够了，并且可以进行并行搜索;但是有时需要局部的，狭窄的小孔注意力分布来找到需要特征绑定或在组成属性方面与其他“干扰物”刺激非常相似的目标。

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