Modeling the Effects of Environmental Factors on Human Control and Information Processing.

摘要

The optimal control model for pilot/vehicle systems has been modified to allow a different treatment of motor related sources of pilot randomness. Specifically, the concept of 'pseudo motor noise' has been implemented to provide a model parameter related more directly to uncertainties about the pilot's control input; this noise is treated as a disturbance on control rate. The revised model is able to provide a good match to low frequency 'phase droop' and to other measures of system performance and pilot response for previously explored tracking tasks. Data obtained in an AMRL experimental study of roll axis tracking are analyzed. The effects of motion cues on tracking performance are modeled by (1) an increment of 0.05 seconds to the pilot time delay, and (2) inclusion of sensory variables that are likely to be provided by motion cues (position, rate, and acceleration of the vehicle roll angle in these experiments).