Attentional spread in the statistical processing of visual displays
Attentional spread in the statistical processing of visual displays
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DOI：
10.3758/bf03195009
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发表时间：
2005-01-01
期刊：
影响因子：
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通讯作者：
Treisman, A
中科院分区：
文献类型：
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作者：
Chong, SC;Treisman, A
我们测试了这样一个假设，即将注意力分配到一系列相似的项目上，可以使其统计属性自动可用。我们发现，与需要集中注意力的任务相比，提取圆圈集的平均大小更容易与需要分散注意力或全局注意力的任务结合起来。一种解释可能是提取统计描述符需要并行访问数组中的所有信息。与这一说法一致，我们发现，当总可用时间相匹配时，同时呈现优于连续呈现。然而，优势很小；并行访问简化了统计处理，而不是必需的。当注意力分散在一个显示器上时，统计处理是自动的，这一证据来自于这样的发现：当平均判断与另一个需要分散注意力或全局注意力的任务同时进行时，相对于单一任务的表现，准确性没有下降。
We tested the hypothesis that distributing attention over an array of similar items makes its statistical properties automatically available. We found that extracting the mean size of sets of circles was easier to combine with tasks requiring distributed or global attention than with tasks requiring focused attention. One explanation may be that extracting the statistical descriptors requires parallel access to all the information in the array. Consistent with this claim, we found an advantage for simultaneous over successive presentation when the total time available was matched. However, the advantage was small; parallel access facilitates statistical processing without being essential. Evidence that statistical processing is automatic when attention is distributed over a display came from the finding that there was no decrement in accuracy relative to single-task performance when mean judgments were made concurrently with another task that required distributed or global attention.