Literature DB >> 22329789

How implicit is visual statistical learning?

Julie Bertels1, Ana Franco, Arnaud Destrebecqz.   

Abstract

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. PsycINFO Database Record (c) 2012 APA, all rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22329789     DOI: 10.1037/a0027210

Source DB:  PubMed          Journal:  J Exp Psychol Learn Mem Cogn        ISSN: 0278-7393            Impact factor:   3.051


  28 in total

Review 1.  Towards a theory of individual differences in statistical learning.

Authors:  Noam Siegelman; Louisa Bogaerts; Morten H Christiansen; Ram Frost
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-05       Impact factor: 6.237

Review 2.  The multi-component nature of statistical learning.

Authors:  Joanne Arciuli
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-01-05       Impact factor: 6.237

3.  Implicit and explicit contributions to statistical learning.

Authors:  Laura J Batterink; Paul J Reber; Helen J Neville; Ken A Paller
Journal:  J Mem Lang       Date:  2015-08-01       Impact factor: 3.059

4.  Statistical learning as an individual ability: Theoretical perspectives and empirical evidence.

Authors:  Noam Siegelman; Ram Frost
Journal:  J Mem Lang       Date:  2015-05-01       Impact factor: 3.059

5.  Dissociable behavioural outcomes of visual statistical learning.

Authors:  Brett C Bays; Nicholas B Turk-Browne; Aaron R Seitz
Journal:  Vis cogn       Date:  2016-02-22

6.  Familiar units prevail over statistical cues in word segmentation.

Authors:  Bénédicte Poulin-Charronnat; Pierre Perruchet; Barbara Tillmann; Ronald Peereman
Journal:  Psychol Res       Date:  2016-08-31

7.  Neural correlates of implicit knowledge about statistical regularities.

Authors:  Sachio Otsuka; Jun Saiki
Journal:  Exp Brain Res       Date:  2017-09-07       Impact factor: 1.972

8.  Suppressed Sensory Response to Predictable Object Stimuli throughout the Ventral Visual Stream.

Authors:  David Richter; Matthias Ekman; Floris P de Lange
Journal:  J Neurosci       Date:  2018-07-20       Impact factor: 6.167

9.  Measuring individual differences in statistical learning: Current pitfalls and possible solutions.

Authors:  Noam Siegelman; Louisa Bogaerts; Ram Frost
Journal:  Behav Res Methods       Date:  2017-04

10.  Redefining "Learning" in Statistical Learning: What Does an Online Measure Reveal About the Assimilation of Visual Regularities?

Authors:  Noam Siegelman; Louisa Bogaerts; Ofer Kronenfeld; Ram Frost
Journal:  Cogn Sci       Date:  2017-10-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.