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Value-based attention capture: Differential effects of loss and gain contingencies

There is evidence that attention can be captured by a feature that is associated with reward. However, it is unclear how associating a feature with loss impacts attentional capture. Some have found evidence for attentional capture by loss-associated stimuli, suggesting that attention is biased towar...

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Autores principales: Becker, Mark W., Hemsteger, Samuel H., Chantland, Eric, Liu, Taosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409594/
https://www.ncbi.nlm.nih.gov/pubmed/32396607
http://dx.doi.org/10.1167/jov.20.5.4
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author Becker, Mark W.
Hemsteger, Samuel H.
Chantland, Eric
Liu, Taosheng
author_facet Becker, Mark W.
Hemsteger, Samuel H.
Chantland, Eric
Liu, Taosheng
author_sort Becker, Mark W.
collection PubMed
description There is evidence that attention can be captured by a feature that is associated with reward. However, it is unclear how associating a feature with loss impacts attentional capture. Some have found evidence for attentional capture by loss-associated stimuli, suggesting that attention is biased toward stimuli predictive of consequence, regardless of the valence of that consequence. However, in those studies, efficient attention to the loss-associated stimulus reduced the magnitude of the loss during training, so attention to the loss-associated stimulus was rewarded in relative terms. In Experiment 1 we associated a color with loss, gain, or no consequence during training and then investigated whether attention is captured by each color. Importantly, our training did not reward, even in a relative sense, attention to the loss-associated color. Although we found robust attentional capture by gain-associated colors, we found no evidence for capture by loss-associated colors. A second experiment showed that the observed effects cannot be explained by selection history and, hence, are specific to value learning. These results suggest that the learning mechanisms of value-based attentional capture are driven by reward, but not by loss or the predictability of consequences in general.
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spelling pubmed-74095942020-08-19 Value-based attention capture: Differential effects of loss and gain contingencies Becker, Mark W. Hemsteger, Samuel H. Chantland, Eric Liu, Taosheng J Vis Article There is evidence that attention can be captured by a feature that is associated with reward. However, it is unclear how associating a feature with loss impacts attentional capture. Some have found evidence for attentional capture by loss-associated stimuli, suggesting that attention is biased toward stimuli predictive of consequence, regardless of the valence of that consequence. However, in those studies, efficient attention to the loss-associated stimulus reduced the magnitude of the loss during training, so attention to the loss-associated stimulus was rewarded in relative terms. In Experiment 1 we associated a color with loss, gain, or no consequence during training and then investigated whether attention is captured by each color. Importantly, our training did not reward, even in a relative sense, attention to the loss-associated color. Although we found robust attentional capture by gain-associated colors, we found no evidence for capture by loss-associated colors. A second experiment showed that the observed effects cannot be explained by selection history and, hence, are specific to value learning. These results suggest that the learning mechanisms of value-based attentional capture are driven by reward, but not by loss or the predictability of consequences in general. The Association for Research in Vision and Ophthalmology 2020-05-12 /pmc/articles/PMC7409594/ /pubmed/32396607 http://dx.doi.org/10.1167/jov.20.5.4 Text en Copyright 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Article
Becker, Mark W.
Hemsteger, Samuel H.
Chantland, Eric
Liu, Taosheng
Value-based attention capture: Differential effects of loss and gain contingencies
title Value-based attention capture: Differential effects of loss and gain contingencies
title_full Value-based attention capture: Differential effects of loss and gain contingencies
title_fullStr Value-based attention capture: Differential effects of loss and gain contingencies
title_full_unstemmed Value-based attention capture: Differential effects of loss and gain contingencies
title_short Value-based attention capture: Differential effects of loss and gain contingencies
title_sort value-based attention capture: differential effects of loss and gain contingencies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409594/
https://www.ncbi.nlm.nih.gov/pubmed/32396607
http://dx.doi.org/10.1167/jov.20.5.4
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