Literature DB >> 16248737

Eye gaze and individual differences consistent with learned attention in associative blocking and highlighting.

John K Kruschke1, Emily S Kappenman, William P Hetrick.   

Abstract

The associative learning effects called blocking and highlighting have previously been explained by covert learned attention, but evidence for learned attention has been indirect, via models of response choice. The present research reports results from eye tracking consistent with the attentional hypothesis: Gaze duration is diminished for blocked cues and augmented for highlighted cues. If degree of attentional learning varies across individuals but is relatively stable within individuals, then the magnitude of blocking and highlighting should covary across individuals. This predicted correlation is obtained for both choice and eye gaze. A connectionist model that implements attentional learning is shown to fit the data and account for individual differences by variation in its attentional parameters.

Mesh:

Year:  2005        PMID: 16248737     DOI: 10.1037/0278-7393.31.5.830

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


  31 in total

1.  Attention and salience in associative blocking.

Authors:  Stephen E Denton; John K Kruschke
Journal:  Learn Behav       Date:  2006-08       Impact factor: 1.986

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Journal:  Cogn Sci       Date:  2016-09-16

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Journal:  Mem Cognit       Date:  2011-11

6.  Evidence for online processing during causal learning.

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Journal:  Learn Behav       Date:  2015-03       Impact factor: 1.986

7.  Effects of outcome and trial frequency on the inverse base-rate effect.

Authors:  Hilary J Don; Evan J Livesey
Journal:  Mem Cognit       Date:  2017-04

Review 8.  Hearing hooves, thinking zebras: A review of the inverse base-rate effect.

Authors:  Hilary J Don; Darrell A Worthy; Evan J Livesey
Journal:  Psychon Bull Rev       Date:  2021-02-10

9.  Structural selection in implicit learning of artificial grammars.

Authors:  Esther van den Bos; Fenna H Poletiek
Journal:  Psychol Res       Date:  2009-02-12

Review 10.  From drugs to deprivation: a Bayesian framework for understanding models of psychosis.

Authors:  P R Corlett; C D Frith; P C Fletcher
Journal:  Psychopharmacology (Berl)       Date:  2009-05-28       Impact factor: 4.530

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