A probabilistic multidimensional model of location information |
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Authors: | W. Todd Maddox William Prinzmetal Richard B. Ivry F. Gregory Ashby |
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Affiliation: | (1) Estes Lab, Department of Psychology, Harvard University, 02138 Cambridge, MA, USA;(2) Present address: Department of Psychology, Arizona State University, 85287 Tempe, AZ, USA;(3) University of California at Berkeley, California, USA;(4) University of California at Santa Barbara, California, USA |
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Abstract: | Summary A probabilistic multidimensional model of location discrimination is developed and applied to data from an experiment in which subjects are required to determine whether a briefly presented horizontal and vertical bar are touching. The proposed gap-detection model assumes that errors in perception are due to variability in the perceived location and/or in the perceived length of the bars. A series of gap-detection models that allow variability only in perceived location were rejected on the basis of likelihood-ratio tests of overall goodness of fit. However, when the models were modified to account for: (a) a compression of the distance perceived between the bars (Wolford, 1975), or (b) the bisection illusion (Künnapas, 1955), excellent absolute fits to the data were obtained. A pair of models that suggests that the horizontal/vertical illusion or a response bias was operative failed. Applications of the model to more conventional object-perception experiments (e. g., the illusory-conjunction experiment) are discussed. |
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