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Human Mental Workload: Models and Applications

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Luca Longo

    1. Technological University Dublin, Dublin, Ireland

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    You can also search for this editor in PubMed   Google Scholar

  2. Maria Chiara Leva

    1. Technological University Dublin, Dublin, Ireland

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1107)

Included in the following conference series:

Conference proceedings info: H-WORKLOAD 2019.

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Table of contents (15 papers)

  1. Front Matter

    Pages i-xiii
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  2. Models

    1. Front Matter

      Pages 1-1
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    2. Mental Workload Monitoring: New Perspectives from Neuroscience

      • Fabio Babiloni
      Pages 3-19

    3. Real-Time Mental Workload Estimation Using EEG

      • Aneta Kartali, Milica M. Janković, Ivan Gligorijević, Pavle Mijović, Bogdan Mijović, Maria Chiara Leva
      Pages 20-34

    4. Student Workload, Wellbeing and Academic Attainment

      • Andrew P. Smith
      Pages 35-47

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

      • Enrique Muñoz-de-Escalona, José Juan Cañas, Jair van Nes
      Pages 48-65

    6. 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 et al.
      Pages 66-84

    7. 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, José Juan Cañas, Enrique Muñoz-de-Escalona
      Pages 85-104

    8. 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 et al.
      Pages 105-117

  3. Applications

    1. Front Matter

      Pages 119-119
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    2. Deep Learning for Automatic EEG Feature Extraction: An Application in Drivers’ Mental Workload Classification

      • Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Gianluca Di Flumeri
      Pages 121-135

    3. Hybrid Models of Performance Using Mental Workload and Usability Features via Supervised Machine Learning

      • Bujar Raufi
      Pages 136-155

    4. Operator Functional State: Measure It with Attention Intensity and Selectivity, Explain It with Cognitive Control

      • Alexandre Kostenko, Philippe Rauffet, Sorin Moga, Gilles Coppin
      Pages 156-169

    5. 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, Fabio Babiloni
      Pages 170-185

    6. Do Cultural Differences Play a Role in the Relationship Between Time Pressure, Workload and Student Well-Being?

      • Omolaso Omosehin, Andrew P. Smith
      Pages 186-204

    7. Ocular Indicators of Mental Workload: A Comparison of Scanpath Entropy and Fixations Clustering

      • Piero Maggi, Orlando Ricciardi, Francesco Di Nocera
      Pages 205-212

    8. Eye-Tracking Metrics as an Indicator of Workload in Commercial Single-Pilot Operations

      • Anja K. Faulhaber, Maik Friedrich
      Pages 213-225

    9. 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 et al.
      Pages 226-239

  4. Back Matter

    Pages 241-241
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Other volumes

  1. Human Mental Workload: Models and Applications

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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.

Editors and Affiliations

  • Technological University Dublin, Dublin, Ireland

    Luca Longo, Maria Chiara Leva

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