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  • The Inria's Research Teams produce an annual Activity Report presenting their activities and their results of the year. These reports include the team members, the scientific program, the software developed by the team and the new results of the year. The report also describes the grants, contracts and the activities of dissemination and teaching. Finally, the report gives the list of publications of the year.

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Section: New Results

Use of Bayesian networks for situation awareness risks prediction

In all domains involving complex human systems interactions, such as the robotic domain, human errors may have dramatic impacts. These errors are often linked to situation awareness issues. We recently proposed a new method to predict situation awareness errors in training simulations [2]. 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 behavioral competency model is also used to take individual differences into account.