Symbolic architectures for cognition
Foundations of cognitive science
Unified theories of cognition
Simulating human performance in complex, dynamic environments
Simulating human performance in complex, dynamic environments
Pointing at trivariate targets in 3D environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Detection of Pilot Errors in Data by Combining Task Modeling and Model Checking
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
The difference matters: benchmarking visual performance of a cognitive pilot model
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
New requirements for modelling how humans succeed and fail in complex traffic scenarios
HESSD'09 Proceedings of the 7th FIP WG 13.5 international conference on Human Error, Safety and Systems Development
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This paper presents a cognitive modelling approach to predict pilot errors and error recovery during the interaction with aircraft cockpit systems. The model allows execution of flight procedures in a virtual simulation environment and production of simulation traces. We present traces for the interaction with a future Flight Management System that show in detail the dependencies of two cognitive error production mechanisms that are integrated in the model: Learned Carelessness and Cognitive Lockup. The traces provide a basis for later comparison with human data in order to validate the model. The ultimate goal of the work is to apply the model within a method for the analysis of human errors to support human centred design of cockpit systems. As an example we analyze the perception of automatic flight mode changes.