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    Distractor-interference reduction is dimensionally constrained

    Liesefeld, H.R. and Liesefeld, A.M. and Muller, Hermann (2019) Distractor-interference reduction is dimensionally constrained. Visual Cognition 27 (3-4), pp. 247-259. ISSN 1350-6285.

    Liesefeld_Liesefeld_Müller_2019_dimensionalConstraints.pdf - Author's Accepted Manuscript

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    ABSTRACTThe dimension-weighting account predicts that if observers search for a target standing out from the background in a particular dimension, they cannot readily ignore a distractor standing out in the same dimension. This prediction is tested here by asking two groups of observers to search for an orientation target or a luminance target, respectively, and presenting an additional distractor defined in either the respectively same dimension or the other dimension. Notably, in this cross-over design, the physically identical distractors served both as same- and different-dimension distractors, depending on target condition. While same-dimension distractors gave rise to massive interference, different-dimension distractors caused much weaker (though still substantial) interference. This result is most readily explained by the dimension-weighting account: different-dimension distractors are considerably down-weighted but not fully suppressed. Furthermore, same- and different dimension distractors delayed response times even when considering only the fastest (down to 2.5%) of trials, indicating that interference is exerted consistently on each trial, rather than probabilistically on some trials. Our results put strong constraints on models of distractor handling in visual search.


    Item Type: Article
    Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis, available online at the link above.
    Keyword(s) / Subject(s): Attentional capture, distractor handling, dimension-weighting account, additional-singleton task, visual search
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences
    Depositing User: Hermann Muller
    Date Deposited: 21 May 2019 10:35
    Last Modified: 02 Aug 2023 17:50


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