BIROn - Birkbeck Institutional Research Online

    Competitive guided search: meeting the challenge of benchmark RT distributions

    Moran, R. and Zehetleitner, M. and Muller, Hermann J. and Usher, Marius (2013) Competitive guided search: meeting the challenge of benchmark RT distributions. Journal of Vision 13 (24), ISSN 1534-7362.

    Full text not available from this repository.

    Abstract

    Historically, visual search models were mainly evaluated based on their account of mean reaction times (RTs) and accuracy data. More recently, Wolfe, Palmer, and Horowitz (2010) have demonstrated that the shape of the entire RT distributions imposes important constraints on visual search theories and can falsify even successful models such as guided search, raising a challenge to computational theories of search. Competitive guided search is a novel model that meets this important challenge. The model is an adaptation of guided search, featuring a series of item selection and identification iterations with guidance towards targets. The main novelty of the model is its termination rule: A quit unit, which aborts the search upon selection, competes with items for selection and is inhibited by the saliency map of the visual display. As the trial proceeds, the quit unit both increases in strength and suffers less saliency-based inhibition and hence the conditional probability of quitting the trial accelerates. The model is fitted to data the data from three classical search task that have been traditionally considered to be governed by qualitatively different mechanisms, including a spatial configuration, a conjunction, and a feature search (Wolfe et al., 2010). The model is mathematically tractable and it accounts for the properties of RT distributions and for error rates in all three search tasks, providing a unifying theoretical framework for visual search.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Depositing User: Sarah Hall
    Date Deposited: 27 Oct 2015 10:28
    Last Modified: 27 Oct 2015 10:28
    URI: http://eprints.bbk.ac.uk/id/eprint/13184

    Statistics

    Downloads
    Activity Overview
    0Downloads
    80Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item