Cover image for Human performance modeling in aviation
Title:
Human performance modeling in aviation
Publication Information:
London : CRC Press/Taylor & Francis Group, 2008
Physical Description:
376 p. : ill. ; 25 cm.
ISBN:
9780805859645

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30000010205150 TL553.6 H854 2008 Open Access Book Book
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Summary

Summary

Based on the six-year NASA Aviation Safety and Security Program Human Performance Modeling project, a collaboration of five teams from industry and academia, Human Performance Modeling in Aviation chronicles the results of modeling NASA-supplied data on two aviation flight deck problems: pilot surface operations taxi errors, and approach and landing with synthetic vision systems. The book provides a deep understanding of the aviation problems and "what-if" system redesigns of flight deck technologies and procedures.

Five modeling teams describe how they applied their models to these two problems and discuss the results in terms of the specific problems addressed, the modeling challenges faced, and the modeling solutions developed to address complex, real-world situations. The book then compares the five modeling tools used, shedding light on the unique approach that each brings to bear on two qualitatively different problems. It includes a "virtual roundtable discussion" that poses questions to each of the five teams and offers take-home lessons and insights into the modeling process and its complexities. The modeling teams also explore the issue of model validation and the approach that they adopted.

Concluding with a summary of how modeling fits into the system design and evaluation process, the text covers state-of-the-art advances in human performance modeling for complex systems. Critical for modeling aviation-domain tasks, these modeling capabilities can also be applied to other complex-system domains such as process control, medical applications, surface transportation, and military command and control, which share similar human-system interaction issues.


Table of Contents

David C. Foyle and Becky L. HooeyDavid C. Foyle and Becky L. HooeyBecky L. Hooey and David C. FoyleKenneth Leiden and Michael D. Byrne and Kevin M. Corker and Stephen E. Deutsch and Christian Lebiere and Christopher D. WickensMichael D. Byrne and Alex Kirlik and Michael D. FleetwoodChristian Lebiere and Rick Archer and Brad Best and Dan SchunkKevin M. Corker and Koji Muraoka and Savita Verma and Amit Jadhav and Brian F. GoreStephen E. Deutsch and Richard W. PewChristopher D. Wickens and Jason S. McCarley and Amy L. Alexander and Lisa C. Thomas and Michael Ambinder and Sam ZhengKenneth Leiden and Brad BestDavid C. Foyle and Becky L. Hooey and Michael D. Byrne and Alex Kirlik and Christian Lebiere and Rick Archer and Kevin M. Corker and Stephen E. Deutsch and Richard W. Pew and Christopher D. Wickens and Jason S. McCarleyBecky L. Hooey and David C. Foyle
Forewordp. vii
Prefacep. ix
Acknowledgmentsp. xi
The Editorsp. xiii
The Contributorsp. xv
Part 1 Goals, Aviation Problems, and Modeling
Chapter 1 The NASA Human Performance Modeling Project: Goals, Approach, and Overviewp. 3
Chapter 2 Using Human Performance Modeling in Aviationp. 15
Chapter 3 Aviation Safety Studies: Taxi Navigation Errors and Synthetic Vision System Operationsp. 29
Part 2 Application of Individual Modeling Tools to the Aviation Problems
Chapter 4 Overview of Human Performance Modeling Toolsp. 67
Chapter 5 An ACT-R Approach to Closing the Loop on Computational Cognitive Modeling: Describing Dynamics of Interactive Decision Making and Attention Allocationp. 77
Chapter 6 Modeling Pilot Performance with an Integrated Task Network and Cognitive Architecture Approachp. 105
Chapter 7 Air MIDAS: A Closed-Loop Model Frameworkp. 145
Chapter 8 D-OMAR: An Architecture for Modeling Multitask Behaviorsp. 183
Chapter 9 Attention-Situation Awareness (A-SA) Model of Pilot Errorp. 213
Part 3 Implications for Modeling and Aviation
Chapter 10 A Cross-Model Comparisonp. 243
Chapter 11 Human Performance Modeling: A Virtual Roundtable Discussionp. 285
Chapter 12 Advancing the State of the Art of Human Performance Models to Improve Aviation Safetyp. 321
Indexp. 351