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Using Computational Cognitive Modeling to Diagnose Possible Sources of Aviation ErrorWe present a computational model of a closed-loop, pilot-aircraft-visual scene-taxiway system created to shed light on possible sources of taxi error. Creating the cognitive aspects of the model using ACT-R required us to conduct studies with subject matter experts to identify experiential adaptations pilots bring to taxiing. Five decision strategies were found, ranging from cognitively-intensive but precise, to fast, frugal but robust. We provide evidence for the model by comparing its behavior to a NASA Ames Research Center simulation of Chicago O'Hare surface operations. Decision horizons were highly variable; the model selected the most accurate strategy given time available. We found a signature in the simulation data of the use of globally robust heuristics to cope with short decision horizons as revealed by errors occurring most frequently at atypical taxiway geometries or clearance routes. These data provided empirical support for the model.
Document ID
20070023491
Acquisition Source
Ames Research Center
Document Type
Other
Authors
Byrne, M. D.
(Rice Univ. Houston, TX, United States)
Kirlik, Alex
(Illinois Univ. at Urbana-Champaign Savoy, IL, United States)
Date Acquired
August 23, 2013
Publication Date
June 1, 2003
Publication Information
Publication: The International Journal of Aviation Psychology
Volume: 15
Issue: 2
Subject Category
Air Transportation And Safety
Report/Patent Number
PB2007-105492
AHFD-03-14
Funding Number(s)
CONTRACT_GRANT: NCC2-1219
CONTRACT_GRANT: NDD2-1321
CONTRACT_GRANT: NAG2-1609
Distribution Limits
Public
Copyright
Other

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