Predicting Pilot Error in Nextgen: Pilot Performance Modeling and Validation EffortsWe review 25 articles presenting 5 general classes of computational models to predict pilot error. This more targeted review is placed within the context of the broader review of computational models of pilot cognition and performance, including such aspects as models of situation awareness or pilot-automation interaction. Particular emphasis is placed on the degree of validation of such models against empirical pilot data, and the relevance of the modeling and validation efforts to Next Gen technology and procedures.
Document ID
20140010184
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Wickens, Christopher (Alion Science and Technology Boulder, CO, United States)
Sebok, Angelia (Alion Science and Technology Boulder, CO, United States)
Gore, Brian (San Jose State Univ. Moffett Field, CA, United States)
Hooey, Becky (San Jose State Univ. Moffett Field, CA, United States)
Date Acquired
July 28, 2014
Publication Date
July 21, 2012
Subject Category
Aeronautics (General)
Report/Patent Number
ARC-E-DAA-TN5182Report Number: ARC-E-DAA-TN5182
Meeting Information
Meeting: International Conference on Applied Human Factors and Ergonomics (2012)