首页 | 本学科首页   官方微博 | 高级检索  
     


A probabilistic multidimensional model of location information
Authors:W. Todd Maddox  William Prinzmetal  Richard B. Ivry  F. Gregory Ashby
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
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.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号