Testing a poisson counter model for visual identification of briefly presented, mutually confusable single stimuli in pure accuracy tasks

    14 Citations (Scopus)

    Abstract

    The authors propose and test a simple model of the time course of visual identification of briefly presented, mutually confusable single stimuli in pure accuracy tasks. The model implies that during stimulus analysis, tentative categorizations that stimulus belongs to category j are made at a constant Poisson rate, v(i, j). The analysis is continued until the stimulus disappears, and the overt response is based on the categorization made the greatest number of times. The model was evaluated by Monte Carlo tests of goodness of fit against observed probability distributions of responses in two extensive experiments and also by quantifications of the information loss of the model compared with the observed data by use of information theoretic measures. The model provided a close fit to individual data on identification of digits and an apparently perfect fit to data on identification of Landolt rings.

    Original languageEnglish
    JournalJournal of Experimental Psychology: Human Perception and Performance
    Volume38
    Issue number3
    Pages (from-to)628-642
    ISSN0096-1523
    DOIs
    Publication statusPublished - Jun 2012

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