Monte Carlo Model of Tracking Behavior

Abstract

A Monte Carlo model was devised for simulation of human tracking behavior with a digital computer. The model had four basic equations and included provision for one- and two-dimensional tracking, repetitive and irregular input signals, and practice trials. Four groups of 12 human subjects each were given 40 practice trials on either one- or two-dimensional tracking, and either repetitive or irregular input signals. The model was then used to simulate corresponding data for four groups of 12 hypothetical subjects each, and comparisons of the real and hypothetical subject samples were made for various measures of proficiency. Overall, the adequacy of the simulation was judged as good. Research tactics are discussed for arriving at a generalized model of n-dimensional tracking behavior, and for elaborated models that will include procedural and decision acts to simulate more complex man-machine systems.