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Prediction and uncertainty in associative learning: examining controlled and automatic components of learned attentional biases

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Prediction and uncertainty in associative learning: examining controlled and automatic components of learned attentional biases. / Luque, David; Vadillo, Miguel A.; Le Pelley, Mike E. et al.
In: The Quarterly Journal of Experimental Psychology , Vol. 70, No. 8, 03.08.2017, p. 1485-1503.

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Harvard

Luque, D, Vadillo, MA, Le Pelley, ME & Beesley, T 2017, 'Prediction and uncertainty in associative learning: examining controlled and automatic components of learned attentional biases', The Quarterly Journal of Experimental Psychology , vol. 70, no. 8, pp. 1485-1503. https://doi.org/10.1080/17470218.2016.1188407

APA

Vancouver

Luque D, Vadillo MA, Le Pelley ME, Beesley T. Prediction and uncertainty in associative learning: examining controlled and automatic components of learned attentional biases. The Quarterly Journal of Experimental Psychology . 2017 Aug 3;70(8):1485-1503. Epub 2016 Jun 7. doi: 10.1080/17470218.2016.1188407

Author

Luque, David ; Vadillo, Miguel A. ; Le Pelley, Mike E. et al. / Prediction and uncertainty in associative learning : examining controlled and automatic components of learned attentional biases. In: The Quarterly Journal of Experimental Psychology . 2017 ; Vol. 70, No. 8. pp. 1485-1503.

Bibtex

@article{85c89e485db148cfa5a7adbd51b89f3e,
title = "Prediction and uncertainty in associative learning: examining controlled and automatic components of learned attentional biases",
abstract = "It has been suggested that attention is guided by two factors that operate during associative learning: a predictiveness principle, by which attention is allocated to the best predictors of outcomes, and an uncertainty principle, by which attention is allocated to learn about the less known features of the environment. Recent studies have shown that predictiveness-driven attention can operate rapidly and in an automatic way to exploit known relationships. The corresponding characteristics of uncertainty-driven attention, on the other hand, remain unexplored. In two experiments we examined whether both predictiveness and uncertainty modulate attentional processing in an adaptation of the dot probe task. This task provides a measure of automatic orientation to cues during associative learning. The stimulus onset asynchrony of the probe display was manipulated in order to explore temporal characteristics of predictiveness- and uncertainty-driven attentional effects. Results showed that the predictive status of cues determined selective attention, with faster attentional capture to predictive than to non-predictive cues. In contrast, the level of uncertainty slowed down responses to the probe regardless of the predictive status of the cues. Both predictiveness- and uncertainty-driven attentional effects were very rapid (at 250 ms from cue onset) and were automatically activated.",
keywords = "Associative learning, Attention, Dot probe, Predictiveness, Uncertainty",
author = "David Luque and Vadillo, {Miguel A.} and {Le Pelley}, {Mike E.} and Tom Beesley",
year = "2017",
month = aug,
day = "3",
doi = "10.1080/17470218.2016.1188407",
language = "English",
volume = "70",
pages = "1485--1503",
journal = "The Quarterly Journal of Experimental Psychology ",
issn = "1747-0218",
publisher = "Psychology Press Ltd",
number = "8",

}

RIS

TY - JOUR

T1 - Prediction and uncertainty in associative learning

T2 - examining controlled and automatic components of learned attentional biases

AU - Luque, David

AU - Vadillo, Miguel A.

AU - Le Pelley, Mike E.

AU - Beesley, Tom

PY - 2017/8/3

Y1 - 2017/8/3

N2 - It has been suggested that attention is guided by two factors that operate during associative learning: a predictiveness principle, by which attention is allocated to the best predictors of outcomes, and an uncertainty principle, by which attention is allocated to learn about the less known features of the environment. Recent studies have shown that predictiveness-driven attention can operate rapidly and in an automatic way to exploit known relationships. The corresponding characteristics of uncertainty-driven attention, on the other hand, remain unexplored. In two experiments we examined whether both predictiveness and uncertainty modulate attentional processing in an adaptation of the dot probe task. This task provides a measure of automatic orientation to cues during associative learning. The stimulus onset asynchrony of the probe display was manipulated in order to explore temporal characteristics of predictiveness- and uncertainty-driven attentional effects. Results showed that the predictive status of cues determined selective attention, with faster attentional capture to predictive than to non-predictive cues. In contrast, the level of uncertainty slowed down responses to the probe regardless of the predictive status of the cues. Both predictiveness- and uncertainty-driven attentional effects were very rapid (at 250 ms from cue onset) and were automatically activated.

AB - It has been suggested that attention is guided by two factors that operate during associative learning: a predictiveness principle, by which attention is allocated to the best predictors of outcomes, and an uncertainty principle, by which attention is allocated to learn about the less known features of the environment. Recent studies have shown that predictiveness-driven attention can operate rapidly and in an automatic way to exploit known relationships. The corresponding characteristics of uncertainty-driven attention, on the other hand, remain unexplored. In two experiments we examined whether both predictiveness and uncertainty modulate attentional processing in an adaptation of the dot probe task. This task provides a measure of automatic orientation to cues during associative learning. The stimulus onset asynchrony of the probe display was manipulated in order to explore temporal characteristics of predictiveness- and uncertainty-driven attentional effects. Results showed that the predictive status of cues determined selective attention, with faster attentional capture to predictive than to non-predictive cues. In contrast, the level of uncertainty slowed down responses to the probe regardless of the predictive status of the cues. Both predictiveness- and uncertainty-driven attentional effects were very rapid (at 250 ms from cue onset) and were automatically activated.

KW - Associative learning

KW - Attention

KW - Dot probe

KW - Predictiveness

KW - Uncertainty

U2 - 10.1080/17470218.2016.1188407

DO - 10.1080/17470218.2016.1188407

M3 - Journal article

C2 - 27174735

AN - SCOPUS:84976333435

VL - 70

SP - 1485

EP - 1503

JO - The Quarterly Journal of Experimental Psychology

JF - The Quarterly Journal of Experimental Psychology

SN - 1747-0218

IS - 8

ER -