The purpose of this study was to review existing human operator modeling techniques and evaluate their potential utility for performance measurement applications (e.g., to support the type of flight simulation research that entails accounting for the perception and utilization of various cues). The major human operator characteristics that ought to be accounted for by a useful model were identified: psychological refractory period, operator intermittency, range effect, inadvertent crosscoupling, bang-bang control, and cue utilization. Existing models were then categorized, surveyed, and summarized. The categories of models surveyed include describing functions, optimal control model, discrete and finite state methods, adaptive techniques, preview models, and other nonlinear approaches. Models in each category were evaluated based on the extent to which they represented the identified human operator characteristics as well as other aspects of their general validity for performance measurement applications. Results were that none of the models implemented more than a few of the human operator characteristics; many were based on assumptions that were unacceptable for measurement applications; and others had not been developed far enough to justify their use as a point of departure for measurement. It was concluded that existing models were not sufficiently representative of known characteristics of human behavior to be useful for general application in performance measurement. (A 100-item bibliography is included.) (Author/JH)