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A Neuroadaptive Cognitive Model for Dealing With Uncertainty in Tracing Pilots' Cognitive State
Author(s) -
Klaproth Oliver W.,
Halbrügge Marc,
Krol Laurens R.,
Vernaleken Christoph,
Zander Thorsten O.,
Russwinkel Nele
Publication year - 2020
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12515
Subject(s) - cognition , cockpit , computer science , flight simulator , cognitive model , aviation , electroencephalography , neurophysiology , simulation , tracing , cognitive psychology , artificial intelligence , psychology , engineering , aeronautics , neuroscience , psychiatry , operating system , aerospace engineering
A model‐based approach for cognitive assistance is proposed to keep track of pilots' changing demands in dynamic situations. Based on model‐tracing with flight deck interactions and EEG recordings, the model is able to represent individual pilots' behavior in response to flight deck alerts. As a first application of the concept, an ACT‐R cognitive model is created using data from an empirical flight simulator study on neurophysiological signals of missed acoustic alerts. Results show that uncertainty of individual behavior representation can be significantly reduced by combining cognitive modeling with EEG data. Implications for cognitive assistance in aviation are discussed.