Bayesian network for the prediction of situation awareness errors Online publication date: Fri, 13-Jul-2018
by Jean-Marc Salotti
International Journal of Human Factors Modelling and Simulation (IJHFMS), Vol. 6, No. 2/3, 2018
Abstract: A new method is proposed to predict situation awareness errors in training simulations. It is based on Endsley's model and the eight 'situation awareness demons' that she described. The predictions are determined thanks to a Bayesian network and noisy-or nodes. A maturity model is introduced to come up with the initialisation problem. The NASA behavioural competency model is also used to take individual differences into account.
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