Abstract

In order to determine the required visual frame rate (FR) for minimizing prediction errors with out-the-window video displays at remote/virtual airport towers, 13 active air-traffic controllers viewed high dynamic fidelity simulations of landing aircraft and decided whether aircraft would stop as if to be able to make a turnoff or whether a runway excursion would be expected. The viewing conditions and simulation dynamics replicated visual rates and environments of transport aircraft landing at small commercial airports. The required frame rate was estimated using Bayes inference on prediction errors by linear FR-extrapolation of event probabilities conditional on predictions (stop, no-stop). Furthermore, estimates were obtained from exponential model fits to the parametric and nonparametric perceptual discriminabilities d′ and A (average area under ROC curves) as dependent on FR. Decision errors are biased towards preference of overshoot and appear due to illusionary increase in speed at low frame rates. Both Bayes and A-extrapolations yield a frame rate requirement of 35 40 Hz for minimizing decision errors. Definitive recommendations require further experiments with FR > 30 Hz.

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