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Author H-WORKLOAD (Conference) (3rd : 2019 : Rome, Italy)

Title Human mental workload : models and applications : third International Symposium, H-WORKLOAD 2019, Rome, Italy, November 14-15, 2019, Proceedings / Luca Longo, Maria Chiara Leva (eds.)
Published Cham, Switzerland : Springer, 2019

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Description 1 online resource (xiii, 241 pages) : illustrations (some color)
Series Communications in computer and information science, 1865-0929 ; 1107
Communications in computer and information science ; 1107. 1865-0929
Contents [I]. Models: Mental workload monitoring : new perspectives from neuroscience / Fabio Babiloni -- Real-time mental workload estimation using EEG / Aneta Kartali, Milica M. Janković, Ivan Gligorijević, Pavle Mijović, Bogdan Mijović, and Maria Chiara Leva -- Student workload, wellbeing and academic attainment / Andrew P. Smith -- Task demand transition rates of change effects on mental workload measures divergence / Enrique Muñoz-de-Escalona, José Juan Cañas, and Jair van Nes -- Validation of a physiological approach to measure cognitive workload : CAPT PICARD / Bethany Bracken, Calvin Leather, E. Vincent Cross II, Jerri Stephenson, Maya Greene, Jeff Lancaster, Brandin Munson, and Kritina Holden -- COMETA : an air traffic controller's mental workload model for calculating and predicting demand and capacity balancing / Patricia López de Frutos, Rubén Rodríguez Rodríguez, Danlin Zheng Zhang, Shutao Zheng -- EEG-based workload index as a taxonomic tool to evaluate the similarity of different robot-assisted surgery systems / Gianluca Di Flumeri, Pietro Aricò, Gianluca Borghini, Nicolina Sciaraffa, Vincenzo Ronca, Alessia Vozzi, Silvia Francesca Storti, Gloria Menegaz, Paolo Fiorini, and Fabio Babiloni
[II]. Applications: Deep learning for automatic EEG feature extraction : an application in drivers' mental workload classification / Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, and Gianluca Di Flumeri -- Hybrid models of performance using mental workload and usability features via supervised machine learning / Bujar Raufi -- Operator functional state : measure it with attention intensity and selectivity, explain it with cognitive control / Alexandre Kostenko, Philippe Rauffet, Sorin Moga, and Gilles Coppin -- On the use of machine learning for EEG-based workload assessment : algorithms comparison in a realistic task / Nicolina Sciaraffa, Pietro Aricò, Gianluca Borghini, Gianluca Di Flumeri, Antonio Di Florio, and Fabio Babiloni -- Do cultural differences play a role in the relationship between time, pressure, workload and student well-being? / Omolaso Omosehin and Andrew P. Smith -- Ocular indicators of mental workload : a comparison of scanpath entropy and fixations clustering / Piero Maggi, Orlando Ricciardi, and Francesco Di Nocera -- Eye-tracking metrics as an indicator of workload in commercial single-pilot operations / Anja K. Faulhaber and Maik Friedrich -- EEG-based mental workload and perception-reaction time of the drivers while using adaptive cruise control / Ennia Acerra, Margherita Pazzini, Navid Ghasemi, Valeria Vignali, Claudio Lantieri, Andrea Simone, Gianluca Di Flumeri, Pietro Aricò, Gianluca Borghini, Nicolina Sciaraffa, Paola Lanzi, and Fabio Babiloni
Summary 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
Notes International conference proceedings
Includes author index
Online resource; title from PDF title page (SpringerLink, viewed October 16, 2019)
Subject Human engineering -- Congresses
Human engineering
Genre/Form proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Longo, Luca, editor
Leva, Maria Chiara, editor.
ISBN 9783030324230
3030324230
Other Titles H-WORKLOAD 2019