Abstract
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.
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Flin, R.H., O’Connor, P., Crichton, M.: Safety at the sharp end: a guide to non-technical skills. Ashgate Publishing Ltd., Farnham (2008)
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)
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). https://doi.org/10.1007/978-3-319-66610-5_29
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). https://doi.org/10.1007/978-3-642-14363-2_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)
Funding
This research is funded by the French National Research Agency (ANR) via the MacCoyCritical Project (ANR-14-CE24-0021).
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Bourrier, Y., Jambon, F., Garbay, C., Luengo, V. (2018). A Hybrid Architecture for Non-technical Skills Diagnosis. In: Nkambou, R., Azevedo, R., Vassileva, J. (eds) Intelligent Tutoring Systems. ITS 2018. Lecture Notes in Computer Science(), vol 10858. Springer, Cham. https://doi.org/10.1007/978-3-319-91464-0_31
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DOI: https://doi.org/10.1007/978-3-319-91464-0_31
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