Skip to Main content Skip to Navigation
Journal articles

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 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.
Complete list of metadatas
Contributor : Jean-Marc Salotti <>
Submitted on : Wednesday, December 5, 2018 - 11:46:14 AM
Last modification on : Sunday, March 29, 2020 - 1:13:44 AM
Long-term archiving on: : Wednesday, March 6, 2019 - 12:45:56 PM


anonymous prediction of situat...
Files produced by the author(s)



Jean Marc Salotti. Bayesian network for the prediction of situation awareness errors. International Journal of Human Factors Modelling and Simulation, Inderscience, 2018, 6 (2/3), pp.119-126. ⟨10.1504/IJHFMS.2018.093174⟩. ⟨hal-01944420⟩



Record views


Files downloads