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Statistical regularities across trials bias attentional selection.
Journal of Experimental Psychology: Human Perception and Performance ( IF 2.1 ) Pub Date : 2020-04-23 , DOI: 10.1037/xhp0000753
Ai-Su Li 1 , Jan Theeuwes 1
Affiliation  

Previous studies have shown that attentional selection can be biased toward locations that are likely to contain a target and away from locations that are likely to contain a distractor. It is assumed that through statistical learning, participants are able to extract the regularities in the display, which in turn biases attentional selection. The present study employed the additional singleton task to examine the ability of participants to extract regularities that occurred across trials. In four experiments, we found that participants were capable of picking up statistical regularities concerning target positions across trials both in the absence and presence of distracting information. It is concluded that through statistical learning, participants are able to extract intertrial statistical associations regarding subsequent target location, which in turn biases attentional selection. We argue here that the weights within the spatial priority map can be dynamically adapted from trial to trial such that the selection of a target at a particular location increases the weights of the upcoming target location within the spatial priority map, giving rise to a more efficient target selection. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

中文翻译:

各个试验的统计规律性偏向注意选择。

先前的研究表明,注意力选择可能偏向可能包含目标的位置,而偏离可能包含干扰因素的位置。假设通过统计学习,参与者能够提取显示中的规律性,这反过来又会引起注意力选择的偏向。本研究采用了额外的单例任务来检查参与者提取整个试验中发生的规律性的能力。在四个实验中,我们发现,无论是否存在分散注意力的信息,参与者都能够在整个试验中获得有关目标位置的统计规律性。结论是,通过统计学习,参与者能够提取有关后续目标位置的组织间统计关联,反过来又偏向注意选择。我们在这里争论说,可以在每次试验之间动态调整空间优先级图内的权重,以使在特定位置处选择目标的权重增加了空间优先级图内即将到来的目标位置的权重,从而提高了效率目标选择。(PsycInfo数据库记录(c)2020 APA,保留所有权利)。
更新日期:2020-04-23
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