Statistical regularities induce spatial as well as feature-specific suppression
Statistical regularities induce spatial as well as feature-specific suppression
We are constantly extracting regularities from the visual environment to optimize attentional orienting. Here we examine the phenomenon that recurrent presentation of distractors in a specific location leads to its attentional suppression. Specifically, we address the question whether suppression is specific to the spatial regularities of distractors or also extends to visual features bearing statistical regularities. To that end, we used a visual search task with two high probability locations, each showing one of two distractor types more often than the other. At these high probability locations, target processing was impaired and attentional capture by either distractor was reduced, consistent with feature-unspecific spatial suppression. However, suppression was more facilitated when the distractor feature was presented at the high probability location that matched its features, suggesting feature-specific suppression. Interestingly, feature-unspecific spatial suppression only spread between locations when distractors varied within a feature dimension (e.g. red and green) but not when they varied across feature dimensions (e.g., red and square). Our findings thus demonstrate a joint influence of implicitly learned spatial and feature regularities on attention and reveal how the visual system can benefit from complex statistical regularities.
1291-1303
Failing, Michel
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Feldmann-Wustefeld, Tobias
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Wang, Benchi
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Olivers, Christian
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Theeuwes, Jan
c5c51ab0-c9dc-4e33-bae6-5ebe0958193b
October 2019
Failing, Michel
b17bf34e-6adc-4c0e-b801-7903a5d6b85f
Feldmann-Wustefeld, Tobias
ad65a041-3b03-4374-8483-2eb878a6c909
Wang, Benchi
06687eb8-bfb2-4033-bd9d-b7d6429b8656
Olivers, Christian
9e540088-b1e7-4686-8fe1-035dd3367068
Theeuwes, Jan
c5c51ab0-c9dc-4e33-bae6-5ebe0958193b
Failing, Michel, Feldmann-Wustefeld, Tobias, Wang, Benchi, Olivers, Christian and Theeuwes, Jan
(2019)
Statistical regularities induce spatial as well as feature-specific suppression.
Journal of Experimental Psychology: Human Perception and Performance, 45 (10), .
(doi:10.1037/xhp0000660).
Abstract
We are constantly extracting regularities from the visual environment to optimize attentional orienting. Here we examine the phenomenon that recurrent presentation of distractors in a specific location leads to its attentional suppression. Specifically, we address the question whether suppression is specific to the spatial regularities of distractors or also extends to visual features bearing statistical regularities. To that end, we used a visual search task with two high probability locations, each showing one of two distractor types more often than the other. At these high probability locations, target processing was impaired and attentional capture by either distractor was reduced, consistent with feature-unspecific spatial suppression. However, suppression was more facilitated when the distractor feature was presented at the high probability location that matched its features, suggesting feature-specific suppression. Interestingly, feature-unspecific spatial suppression only spread between locations when distractors varied within a feature dimension (e.g. red and green) but not when they varied across feature dimensions (e.g., red and square). Our findings thus demonstrate a joint influence of implicitly learned spatial and feature regularities on attention and reveal how the visual system can benefit from complex statistical regularities.
Text
StatReg_preprint
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Accepted/In Press date: 22 March 2019
e-pub ahead of print date: 3 June 2019
Published date: October 2019
Identifiers
Local EPrints ID: 431448
URI: http://eprints.soton.ac.uk/id/eprint/431448
ISSN: 0096-1523
PURE UUID: 773e7b09-9879-4d20-bcb9-76235adf0156
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Date deposited: 04 Jun 2019 16:30
Last modified: 16 Mar 2024 01:51
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Contributors
Author:
Michel Failing
Author:
Tobias Feldmann-Wustefeld
Author:
Benchi Wang
Author:
Christian Olivers
Author:
Jan Theeuwes
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