Literature DB >> 30954779

Distractor handling via dimension weighting.

Heinrich René Liesefeld1, Hermann J Müller2.   

Abstract

Salient-but-irrelevant objects have the potential to distract attention. Objects are salient if they differ from their surround in some feature dimension, such as shape, orientation, or motion. One way to reduce distraction, therefore, is to attenuate all saliency signals from the respective feature dimension. This mechanism, or strategy, which follows from a broader theory of attentional selection termed Dimension-Weighting Account (DWA), is very powerful, as evidenced by the massive distractor interference observed when it is ineligible. However, it also consumes scarce cognitive resources, so that it is not always employed and often complemented by other mechanisms of distractor handling. These alternative mechanisms might be less effective and/or have negative side effects.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Year:  2019        PMID: 30954779     DOI: 10.1016/j.copsyc.2019.03.003

Source DB:  PubMed          Journal:  Curr Opin Psychol        ISSN: 2352-250X


  15 in total

1.  Spatially Guided Distractor Suppression during Visual Search.

Authors:  Tobias Feldmann-Wüstefeld; Marina Weinberger; Edward Awh
Journal:  J Neurosci       Date:  2021-03-02       Impact factor: 6.167

2.  Habituation to abrupt-onset distractors with different spatial occurrence probability.

Authors:  Matteo Valsecchi; Massimo Turatto
Journal:  Atten Percept Psychophys       Date:  2022-07-18       Impact factor: 2.157

3.  Learned distractor rejection persists across target search in a different dimension.

Authors:  Brad T Stilwell; Shaun P Vecera
Journal:  Atten Percept Psychophys       Date:  2022-08-31       Impact factor: 2.157

4.  Major issues in the study of visual search: Part 2 of "40 Years of Feature Integration: Special Issue in Memory of Anne Treisman".

Authors:  Jeremy M Wolfe
Journal:  Atten Percept Psychophys       Date:  2020-02       Impact factor: 2.199

5.  Flexible weighting of target features based on distractor context.

Authors:  Jeongmi Lee; Joy J Geng
Journal:  Atten Percept Psychophys       Date:  2020-02       Impact factor: 2.199

6.  Strategic Distractor Suppression Improves Selective Control in Human Vision.

Authors:  Wieske van Zoest; Christoph Huber-Huber; Matthew D Weaver; Clayton Hickey
Journal:  J Neurosci       Date:  2021-07-08       Impact factor: 6.167

7.  Saliency-Aware Subtle Augmentation Improves Human Visual Search Performance in VR.

Authors:  Olga Lukashova-Sanz; Siegfried Wahl
Journal:  Brain Sci       Date:  2021-02-25

Review 8.  Guided Search 6.0: An updated model of visual search.

Authors:  Jeremy M Wolfe
Journal:  Psychon Bull Rev       Date:  2021-02-05

9.  Statistical learning of target selection and distractor suppression shape attentional priority according to different timeframes.

Authors:  Valeria Di Caro; Chiara Della Libera
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

10.  Categorical grouping is not required for guided conjunction search.

Authors:  Igor S Utochkin; Vladislav A Khvostov; Jeremy M Wolfe
Journal:  J Vis       Date:  2020-08-03       Impact factor: 2.240

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