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The spread of attention and learning in feature search: effects of target distribution and task difficulty.

机译:在特征搜索中注意力和学习的传播:目标分布和任务难度的影响。

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摘要

We examined the roles of two determinants of spatial attention in governing the spread of perceptual learning, namely, stimulus location distribution and task difficulty. Subjects were trained on detection of a target element with an odd orientation imbedded in an array of light bars with otherwise uniform orientation. To assess the effects of target distribution on attention and learning, target positions were distributed so that attention was allocated not only to the target positions themselves, but also to intermediate positions where the target was not presented. Target detection performance substantially improved and improvement spread to match the induced window of spatial attention rather than only the actual target locations. To assess the effect of task difficulty on the spread of attention and learning, the target-distractor orientation difference and the time interval available for processing were manipulated. In addition, we compared performance of subjects with more versus with less detection difficulty. A consistent pattern emerged: When the task becomes more difficult, the window of attention shrinks, and learning becomes more localized. We conclude that task-specific spatial attention is both necessary and sufficient to induce learning. The spread of spatial attention, and thus of learning, is determined by the integrated effects of target distribution and task difficulty. We propose a theoretical framework whereby these factors combine to determine the cortical level of the focus of attention, which in turn enables learning modifications.
机译:我们研究了空间注意力的两个决定因素在控制知觉学习的传播中的作用,即刺激位置分布和任务难度。对受试者进行了有关检测目标元素的检测,该目标元素具有奇怪的方向,该目标元素嵌入了具有均匀方向的灯条阵列中。为了评估目标分配对注意力和学习的影响,分配了目标位置,以便将注意力不仅分配给目标位置本身,而且分配给未提出目标的中间位置。目标检测性能得到了显着提高,并且改进也得到了扩展,以匹配引起的空间关注窗口,而不是仅匹配实际目标位置。为了评估任务难度对注意力和学习传播的影响,操纵了目标-干扰物定向差异和可用于处理的时间间隔。此外,我们比较了具有较高检测难度和较低检测难度的受试者的表现。出现了一个一致的模式:当任务变得更加困难时,关注的窗口缩小,学习变得更加局部化。我们得出结论,特定任务的空间注意力既是必要的也是足够的,以诱导学习。空间注意力的扩散以及学习的扩散取决于目标分布和任务难度的综合影响。我们提出了一个理论框架,其中这些因素结合起来可以确定关注焦点的皮质水平,进而可以进行学习修改。

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