Bayesian network for the prediction of situation awareness errors

Abstract

A new method is proposed to predict situation awareness errors in training simulations. It is based on Endsley's model and the 8 "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 initialization problem. The NASA behavioural competency model is also used to take individual differences into account.