Communications in Computer and Information Science

Human Mental Workload: Models and Applications

Third International Symposium, H-WORKLOAD 2019, Rome, Italy, November 14–15, 2019, Proceedings

Editors: Longo, Luca, Leva, Maria Chiara (Eds.)

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  • ISBN 978-3-030-32423-0
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About this book

This book constitutes the refereed proceedings of the Third International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2019, held in Rome, Italy, in November 2019.

The volume presents one keynote paper as well as 14 revised full papers, which were carefully reviewed and selected from 32 submissions. The papers are organized in two topical sections on models and applications.

Table of contents (15 chapters)

Table of contents (15 chapters)
  • Mental Workload Monitoring: New Perspectives from Neuroscience

    Pages 3-19

    Babiloni, Fabio

  • Real-Time Mental Workload Estimation Using EEG

    Pages 20-34

    Kartali, Aneta (et al.)

  • Student Workload, Wellbeing and Academic Attainment

    Pages 35-47

    Smith, Andrew P.

  • Task Demand Transition Rates of Change Effects on Mental Workload Measures Divergence

    Pages 48-65

    Muñoz-de-Escalona, Enrique (et al.)

  • Validation of a Physiological Approach to Measure Cognitive Workload: CAPT PICARD

    Pages 66-84

    Bracken, Bethany (et al.)

Buy this book

eBook $64.99
price for USA in USD (gross)
  • ISBN 978-3-030-32423-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $84.99
price for USA in USD
  • ISBN 978-3-030-32422-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Human Mental Workload: Models and Applications
Book Subtitle
Third International Symposium, H-WORKLOAD 2019, Rome, Italy, November 14–15, 2019, Proceedings
Editors
  • Luca Longo
  • Maria Chiara Leva
Series Title
Communications in Computer and Information Science
Series Volume
1107
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-32423-0
DOI
10.1007/978-3-030-32423-0
Softcover ISBN
978-3-030-32422-3
Series ISSN
1865-0929
Edition Number
1
Number of Pages
XIII, 241
Number of Illustrations
14 b/w illustrations, 71 illustrations in colour
Topics