Lüdtke, Andreas and Möbus, Claus and Thole, Heinz-Jürgen (2002) Cognitive Modelling Approach to Diagnose Over-Simplification in Simulation-Based Training. In: Intelligent Tutoring Systems, Proceedings of the 6th International Conference, ITS2002. Lecture Notes in Computer Science (2363). Springer Berlin Heidelberg, Berlin - Heidelberg, pp. 496-506. ISBN 978-3-540-47987-1

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Abstract

Simulation-based training has become a standard in operational knowledge training for supervisory control in safety-critical environments. But traditional simulators do not support mental model formation of automated systems though these systems are a dominant part in modern control systems. Recently various ”intelligent components” for this support have been suggested. But these approaches neglect the dynamic character of mental models. They focus on building a normative model at the beginning of the training but do not consider how it evolves due to knowledge acquisition processes. In this paper we present a model-based approach to diagnose success-driven learning in simulator training and to predict dangerous over-simplifications. Our research focuses on pilot training for automated cockpits.

Item Type:	Book Section
Uncontrolled Keywords:	Simulation-based training,supervisory control,safety-critical environments, mental models, knowledge acquisition process, success-driven learning, over-simplifications, pilot training, automated cockpits
Subjects:	Generalities, computers, information > Computer science, internet Philosophy and psychology > Psychology Technology, medicine, applied sciences > Engineering and machine engineering
Divisions:	School of Computing Science, Business Administration, Economics and Law > Department of Computing Science
Date Deposited:	13 Jan 2015 12:30
Last Modified:	13 Jan 2015 12:30
URI:	https://oops.uni-oldenburg.de/id/eprint/2017
URN:	urn:nbn:de:gbv:715-oops-20989
DOI:	10.1007/3-540-47987-2_52
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