How Implicit Is Visual Statistical Learning?

被引:70
|
作者
Bertels, Julie [1 ,2 ]
Franco, Ana [1 ,3 ]
Destrebecqz, Arnaud [1 ]
机构
[1] Univ Libre Brussels, Consciousness Cognit & Computat Grp, B-1050 Brussels, Belgium
[2] Fonds Natl Rech Sci, B-1050 Brussels, Belgium
[3] Fonds Natl Rech Luxembourg, Luxembourg, Luxembourg
关键词
statistical learning; consciousness; subjective measures; DISCRIMINATION; KNOWLEDGE; THRESHOLD; AWARENESS;
D O I
10.1037/a0027210
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
In visual statistical learning, participants learn the statistical regularities present in a sequence of visual shapes. A recent study (Kim, Seitz, Feenstra, & Shams, 2009) suggests that visual statistical learning occurs implicitly, as it is not accompanied by conscious awareness of these regularities. However, that interpretation of the data depends on 2 unwarranted assumptions concerning the nature and sensitivity of the tasks used to measure learning. In a replication of this study, we used a 4-choice completion task as a direct measure of learning, in addition to an indirect measure consisting of a rapid serial visual presentation task. Moreover, binary confidence judgments were recorded after each completion trial. This way, we measured systematically the extent to which sequence knowledge was available to consciousness. Supporting the notion that the role of unconscious knowledge was overestimated in Kim et al.'s study, our results reveal that participants' performance cannot be exclusively accounted for by implicit knowledge.
引用
收藏
页码:1425 / 1431
页数:7
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