The optimal control model of human response is applied to study target tracking performance in a AAA system. The effects on tracking error of different target motions. i.e. acceleration profiles, are studied via a covariance propagation modeling approach and via experiment. Different assumptions relative to the adaptive tracking behavior of the human are explored as well as different schemes for inter-axis attention allocation. The effects of visual information inherent in a moving target image (e.g. size, aspect angle, etc.) are explored via comparison of results with a moving image vs. image of fixed size and shape. Experimental tracking results are compared with those predicted by the model.