Citation

J. Exp. Psychol. Hum. Percept. Perform. 2015; 41(2): 355.

Copyright

(Copyright © 2015, American Psychological Association)

DOI

10.1037/xhp0000037

PMID

25822582

Abstract

Reports an error in "Testing a Poisson counter model for visual identification of briefly presented, mutually confusable single stimuli in pure accuracy tasks" by Søren Kyllingsbæk, Bo Markussen and Claus Bundesen (Journal of Experimental Psychology: Human Perception and Performance, 2012[Jun], Vol 38[3], 628-642). The original article used a computational shortcut (Equation A5) that strongly reduced the time needed to fit the Poisson counter model to experimental data. Unfortunately, the computational shortcut built on an approximation that was not well-founded in the Poisson counter model. To measure the actual deviation, the authors refitted both the computational shortcut and the Poisson counter model (Equations A1-A4) to the experimental data reported in the article. The Poisson counter model fits did, fortunately, not deviate noticeably from those produced by the computational shortcut, nor did they invalidate any conclusions derived. More information regarding the shortcut and the counter model is provided in the erratum. (The following abstract of the original article appeared in record 2011-20725-001.) 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 i 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. (PsycINFO Database Record

Language: en