Visual statistical learning requires attention

被引:0
|
作者
Duncan, Dock H. [1 ,2 ]
van Moorselaar, Dirk [1 ,2 ]
Theeuwes, Jan [1 ,2 ,3 ]
机构
[1] Vrije Univ Amsterdam, Dept Expt & Appl Psychol, Amsterdam, Netherlands
[2] Inst Brain & Behav Amsterdam IBBA, Amsterdam, Netherlands
[3] ISPA Inst Univ, William James Ctr Res, Lisbon, Portugal
基金
欧盟地平线“2020”;
关键词
Statistical learning; Attention; Visual search; Distractor suppression; Feature guided search; DOWN SEARCH STRATEGIES; WORKING-MEMORY; TOP-DOWN; SELECTIVE ATTENTION; SPEECH SEGMENTATION; IMPLICIT; SUPPRESSION; REGULARITIES; MECHANISMS; TARGET;
D O I
10.3758/s13423-024-02605-1
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Statistical learning is a person's ability to automatically learn environmental regularities through passive exposure. Since the earliest studies of statistical learning in infants, it has been debated exactly how "passive" this learning can be (i.e., whether attention is needed for learning to occur). In Experiment 1 of the current study, participants performed a serial feature search task where they searched for a target shape among heterogenous nontarget shapes. Unbeknownst to the participants, one of these nontarget shapes was presented much more often in location. Even though the regularity concerned a nonsalient, nontarget item that did not receive any attentional priority during search, participants still learned its regularity (responding faster when it was presented at this high-probability location). While this may suggest that not much, if any, attention is needed for learning to occur, follow-up experiments showed that if an attentional strategy (i.e., color subset search or exogenous cueing) effectively prevents attention from being directed to this critical regularity, incidental learning is no longer observed. We conclude that some degree of attention to a regularity is needed for visual statistical learning to occur.
引用
收藏
页数:14
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