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视觉搜索情境线索中的构型学习

Configural learning in contextual cuing of visual search.

作者信息

Beesley Tom, Vadillo Miguel A, Pearson Daniel, Shanks David R

机构信息

School of Psychology, University of New South Wales.

Division of Psychology and Language Sciences, University College London.

出版信息

J Exp Psychol Hum Percept Perform. 2016 Aug;42(8):1173-85. doi: 10.1037/xhp0000185. Epub 2016 Feb 25.

DOI:10.1037/xhp0000185
PMID:26913779
Abstract

Two experiments were conducted to explore the role of configural representations in contextual cuing of visual search. Repeating patterns of distractors (contexts) were trained incidentally as predictive of the target location. Training participants with repeating contexts of consistent configurations led to stronger contextual cuing than when participants were trained with contexts of inconsistent configurations. Computational simulations with an elemental associative learning model of contextual cuing demonstrated that purely elemental representations could not account for the results. However, a configural model of associative learning was able to simulate the ordinal pattern of data. (PsycINFO Database Record

摘要

进行了两项实验,以探究构型表征在视觉搜索的情境线索化中的作用。干扰项(情境)的重复模式被偶然训练为目标位置的预测指标。用一致构型的重复情境对参与者进行训练,比用不一致构型的情境进行训练时产生更强的情境线索化。用情境线索化的元素联想学习模型进行的计算模拟表明,单纯的元素表征无法解释这些结果。然而,一种联想学习的构型模型能够模拟数据的顺序模式。(《心理学文摘数据库记录》

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No exploitation of temporal sequence context during visual search.视觉搜索过程中未利用时间序列上下文。
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