Overview
- Reports on the most important mental states studied in aviation operational contexts
- Describes machine learning algorithms for assessing operators’ cognitive and emotional states
- Discusses new findings obtained in both controlled and realistic environments
- Includes supplementary material: sn.pub/extras
Part of the book series: Biosystems & Biorobotics (BIOSYSROB, volume 18)
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About this book
This book discusses the emerging field of industrial neuroscience, and reports on the authors’ cutting-edge findings in the evaluation of mental states, including mental workload, cognitive control and training of personnel involved either in the piloting of aircraft and helicopters, or in managing air traffic. It encompasses neuroimaging and cognitive psychology techniques and shows how they have been successfully applied in the evaluation of human performance and human-machine interactions, and to guarantee a proper level of safety in such operational contexts. With an introduction to the most relevant concepts of neuroscience, neurophysiological techniques, simulators and case studies in aviation environments, it is a must-have for both students and scientists in the field of aeronautic and biomedical engineering, as well as for various professionals in the aviation world. This is the first book to intensively apply neurosciences to the evaluation of human factors and mental statesin aviation.
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Table of contents (8 chapters)
Authors and Affiliations
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Bibliographic Information
Book Title: Industrial Neuroscience in Aviation
Book Subtitle: Evaluation of Mental States in Aviation Personnel
Authors: Gianluca Borghini, Pietro Aricò, Gianluca Di Flumeri, Fabio Babiloni
Series Title: Biosystems & Biorobotics
DOI: https://doi.org/10.1007/978-3-319-58598-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-58597-0Published: 15 May 2017
Softcover ISBN: 978-3-319-86438-9Published: 29 July 2018
eBook ISBN: 978-3-319-58598-7Published: 09 May 2017
Series ISSN: 2195-3562
Series E-ISSN: 2195-3570
Edition Number: 1
Number of Pages: XIII, 147
Number of Illustrations: 5 b/w illustrations, 39 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Quality Control, Reliability, Safety and Risk, Experimental Psychology, Neurosciences, Aerospace Technology and Astronautics
Keywords
- Accidents in aviation
- Human factors in aviation
- Mental states
- Mental workload assessment
- Cognitive control
- Augmented cognition
- Human error
- Human-machine systems
- Neurophysiological signals in aircraft
- Task performance
- Air traffic management
- Adaptive automation
- ATM simulation
- Flight simulators
- quality control, reliability, safety and risk