Title: Bayesian network for the prediction of situation awareness errors

Authors: Jean-Marc Salotti

Addresses: IMS Laboratory, CNRS, Bordeaux University, INRIA, ENSC, 109 Avenue Roul, 33405 Talence Cedex, France

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.

Keywords: situation awareness; Bayesian network; noisy-or; behavioural competency.

DOI: 10.1504/IJHFMS.2018.093174

International Journal of Human Factors Modelling and Simulation, 2018 Vol.6 No.2/3, pp.119 - 126

Received: 11 Sep 2017
Accepted: 27 Oct 2017

Published online: 28 Jun 2018 *

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