Abstract
This paper describes an integrated design and implementation framework for cognitive models in complex task environments. We propose a task- and human-centered development methodology for deriving the cognitive models, and present a goal-based framework for implementing them. We illustrate our approach by modelling cognitive lockup as an error producing mechanism for pilots, and present the outcomes of the implemented cognitive models that resulted from applying our methods and tools.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
CLIPS: a tool for building expert systems. http://clipsrules.sourceforge.net/
Diggelen J van, Beun RJ, Dignum F, Eijk RM van, Meyer J-J Ch, ANEMONE: An effective minimal ontology negotiation environment. In: Proceedings of the fifth international conference on Autonomous Agents and Multi-agent Systems (AAMAS06), ACM Press, pp 899–906, 2006
Lüdtke A, Osterloh J-P, Mioch T, Rister F, Looije R (2010). Cognitive modelling of pilot errors and error recovery in flight management tasks. In human error, safety and systems development, LNCS5962, Springer
Mioch T, Osterloh J-P, Javaux D (2011) Selecting human error types for cognitive modelling and simulation. In: P. C. Cacciabue et al. (eds.), Human modelling in assisted transportation. doi:10.1007/978-88-470-1821-1_13
Neerincx MA, Lindenberg J, Smets N.J.J.M, Bos A, Breebaart L, Grant T, Olmedo-Soler A, Brauer U, Wolff M (2008) The mission execution crew assistant: improving human-machine team resilience for long duration missions. In: Proceedings of the 59th international astronautical congress (IAC2008), Glasgow
Rasmussen J (1983) Skills, rules, knowledge: signals, signs and symbols and other distinctions in human performance models. IEEE Trans: Syst, Man Cybern SMC-13(3):257–266
Russell SJ, Norvig P (2003) Artificial intelligence: A modern approach. Pearson education. 2nd ed. Prentice Hall, USA
Acknowledgment
The work described in this paper is funded by the European Commission in the 7th Framework Programme, Transportation under the number FP7-211988. This study is part of the research program “Autonomous Training” (V1023) under contract for the Netherlands Department of Defense.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Italia Srl
About this paper
Cite this paper
van Diggelen, J., Janssen, J., Mioch, T., Neerincx, M. (2011). Flexible Design and Implementation of Cognitive Models for Predicting Pilot Errors in Cockpit Design. In: Cacciabue, P., Hjälmdahl, M., Luedtke, A., Riccioli, C. (eds) Human Modelling in Assisted Transportation. Springer, Milano. https://doi.org/10.1007/978-88-470-1821-1_15
Download citation
DOI: https://doi.org/10.1007/978-88-470-1821-1_15
Published:
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-1820-4
Online ISBN: 978-88-470-1821-1
eBook Packages: EngineeringEngineering (R0)