A Hybrid Architecture for Non-technical Skills Diagnosis

  • Yannick BourrierEmail author
  • Francis Jambon
  • Catherine Garbay
  • Vanda Luengo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10858)


Our Virtual Learning Environment aims at improving the abilities of experienced technicians to handle critical situations through appropriate use of non-technical skills (NTS), a high-stake matter in many domains as bad mobilization of these skills is the cause of many accidents. To do so, our environment dynamically generates critical situations designed to target these NTS. As the situations need to be adapted to the learner’s skill level, we designed a hybrid architecture able to diagnose NTS. This architecture combines symbolic knowledge about situations, a neural network to drive the learner’s performance evaluation process, and a Bayesian network to model the causality links between situation knowledge and performance to reach NTS diagnosis. A proof of concept is presented in a driving critical situation.


Neural networks Bayesian networks Ill-defined domains 



This research is funded by the French National Research Agency (ANR) via the MacCoyCritical Project (ANR-14-CE24-0021).


  1. 1.
    Flin, R.H., O’Connor, P., Crichton, M.: Safety at the sharp end: a guide to non-technical skills. Ashgate Publishing Ltd., Farnham (2008)Google Scholar
  2. 2.
    Lynch, C., Ashley, K., Aleven, V., Pinkwart, N.: Defining Ill-defined domains; a literature survey. In: Proceedings of the Intelligent Tutoring Systems for Ill-Defined Domains Workshop, ITS 2006, pp. 1–10 (2006)Google Scholar
  3. 3.
    Bourrier, Y., Jambon, F., Garbay, C., Luengo, V.: An approach for the analysis of perceptual and gestural performance during critical situations. In: Lavoué, É., Drachsler, H., Verbert, K., Broisin, J., Pérez-Sanagustín, M. (eds.) EC-TEL 2017. LNCS, vol. 10474, pp. 373–378. Springer, Cham (2017). Scholar
  4. 4.
    Fournier-Viger, P., Nkambou, R., Nguifo, E.M.: Building intelligent tutoring systems for ill-defined domains. In: Nkambou, R., Bourdeau, J., Mizoguchi, R. (eds.) AITS. Studies in Computational Intelligence, vol. 308, pp. 81–101. Springer, Heidelberg (2010). Scholar
  5. 5.
    Burkhardt, J.M., Corneloup, V., Garbay, C., Bourrier, Y., Jambon, F., Luengo, V., Job, A., Cabon, P., Benabbou, A., Lourdeaux, D.: Simulation and virtual reality-based learning of non-technical skills in driving: critical situations, diagnosis and adaptation. IFAC-PapersOnLine 49(32), 66–71 (2016)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Yannick Bourrier
    • 1
    • 2
    Email author
  • Francis Jambon
    • 2
  • Catherine Garbay
    • 2
  • Vanda Luengo
    • 1
  1. 1.Sorbonne Université, CNRS, LIP6ParisFrance
  2. 2.Univ. Grenoble Alpes, CNRS, Grenoble INP, LIGGrenobleFrance

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