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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Official URL: http://link.springer.com/chapter/10.1007/3-540-479...


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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