A neuroadaptive cognitive model for dealing with uncertainty in tracing pilots' cognitive state

Autor: Laurens R. Krol, Oliver W. Klaproth, Thorsten O. Zander, Christoph Vernaleken, Marc Halbrügge, Nele Russwinkel
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Cognitive model
Adult
Male
Linguistics and Language
Computer science
Aviation
Cognitive Neuroscience
cognitive assistance
Experimental and Cognitive Psychology
ComputerApplications_COMPUTERSINOTHERSYSTEMS
Tracing
Electroencephalography
Flight simulator
050105 experimental psychology
03 medical and health sciences
0302 clinical medicine
Cognition
ddc:150
Artificial Intelligence
Human–computer interaction
medicine
Humans
0501 psychology and cognitive sciences
Representation (mathematics)
Man-Machine Systems
medicine.diagnostic_test
business.industry
05 social sciences
flight deck alerts
Uncertainty
Middle Aged
Models
Theoretical

cognitive modeling
Cockpit
Human-Computer Interaction
Pilots
150 Psychologie
Auditory Perception
Female
neuroadaptive technology
business
030217 neurology & neurosurgery
Psychomotor Performance
model‐tracing
DOI: 10.14279/depositonce-11280
Popis: 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.
Databáze: OpenAIRE