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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Table of contents (8 chapters)
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
About this book
Authors and Affiliations
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