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The capacity limitations of multiple‐template visual search during task preparation and target selection

视觉搜索 模板 任务(项目管理) N2pc 选择(遗传算法) 选择性注意 心理学 计算机科学 人工智能 模式识别(心理学) 沟通 视觉注意 认知 神经科学 管理 经济 程序设计语言
作者
Anna Grubert,Ziyi Wang,Ella Williams,Mikel Jimenez,Roger W. Remington,Martin Eimer
出处
期刊:Psychophysiology [Wiley]
标识
DOI:10.1111/psyp.14720
摘要

Abstract Visual search is guided by mental representations of target‐defining features (attentional templates) that are activated in a preparatory fashion. It remains unknown how many templates can be maintained concurrently, and what kind of costs are associated with multiple‐template versus single‐template search. Here, we compared the operation of attentional templates during three‐color and single‐color search tasks. Preparatory template activation processes were tracked by measuring N2pc components to task‐irrelevant singleton color probes that appeared in rapid succession during the interval between search displays. These probes attract attention (as indexed by an N2pc) if the corresponding color template is active at the time when the probe appears. In a three‐color search task where target identity was fully predictable (Experiment 1), only probes that matched the upcoming target color triggered N2pcs, demonstrating that only a single target template was activated. When three possible color targets appeared randomly and unpredictably (Experiment 2), probes that matched any of these colors triggered N2pcs, demonstrating that all three templates were activated concurrently. However, relative to a single‐color search task, clear costs emerged in this three‐color task for attentional guidance toward search targets and for search performance. These costs appear to be linked to inhibitory interactions between simultaneously active search templates. These findings show that while at least three target templates can be maintained in parallel, multiple‐template search is still subject to capacity limitations which affect both template‐guided attentional guidance and the subsequent selective processing of search targets.
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