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Human Mental Workload: Models and Applications

Second International Symposium, H-WORKLOAD 2018, Amsterdam, The Netherlands, September 20-21, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Luca Longo

    1. Dublin Institute of Technology, Dublin, Ireland

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    You can also search for this editor in PubMed   Google Scholar

  2. M. Chiara Leva

    1. Dublin Institute of Technology, 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 1012)

Included in the following conference series:

Conference proceedings info: H-WORKLOAD 2018.

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Table of contents (15 papers)

  1. Front Matter

    Pages I-XI
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  2. Models

    1. Front Matter

      Pages 1-1
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    2. Understanding, Supporting, and Redesigning Cognitive Work

      • Catherine M. Burns
      Pages 3-12

    3. Assessing Workload in Human-Machine Teams from Psychophysiological Data with Sparse Ground Truth

      • David Dearing, Aaron Novstrup, Terrance Goan
      Pages 13-22

    4. The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review

      • Giuliano Orru, Luca Longo
      Pages 23-48

    5. Developing an Objective Indicator of Fatigue: An Alternative Mobile Version of the Psychomotor Vigilance Task (m-PVT)

      • Michael Scott Evans, Daniel Harborne, Andrew P. Smith
      Pages 49-71

    6. Workload Assessment Using Speech-Related Neck Surface Electromyography

      • Aaron Novstrup, Terrance Goan, James Heaton
      Pages 72-91

    7. Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education

      • Karim Moustafa, Luca Longo
      Pages 92-111

    8. Measuring the Mental Workload of Operators of Highly Automated Vehicles

      • Kristen Fernández Medina
      Pages 112-128

  3. Applications

    1. Front Matter

      Pages 129-129
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    2. Latency Differences Between Mental Workload Measures in Detecting Workload Changes

      • Enrique Muñoz-de-Escalona, José Juan Cañas
      Pages 131-146

    3. Mental Workload and Other Causes of Different Types of Fatigue in Rail Staff

      • Jialin Fan, Andrew P. Smith
      Pages 147-159

    4. On the Mental Workload Assessment of Uplift Mapping Representations in Linked Data

      • Ademar Crotti Junior, Christophe Debruyne, Luca Longo, Declan O’Sullivan
      Pages 160-179

    5. An Empirical Approach to Workload and Human Capability Assessment in a Manufacturing Plant

      • Lorenzo Comberti, Maria Chiara Leva, Micaela Demichela, Stefano Desideri, Gabriele Baldissone, Franco Modaffari
      Pages 180-201

    6. Mental Workload in the Explanation of Automation Effects on ATC Performance

      • José Juan Cañas, Pedro Ferreira, Patricia López de Frutos, Eva Puntero, Elena López, Fernando Gómez-Comendador et al.
      Pages 202-221

    7. The Complementary Role of Activity Context in the Mental Workload Evaluation of Helicopter Pilots: A Multi-tasking Learning Approach

      • Ioannis Bargiotas, Alice Nicolaï, Pierre-Paul Vidal, Christophe Labourdette, Nicolas Vayatis, Stéphane Buffat
      Pages 222-238

    8. The Effect of an Exceptional Event on the Subjectively Experienced Workload of Air Traffic Controllers

      • Thea Radüntz, Norbert Fürstenau, André Tews, Lea Rabe, Beate Meffert
      Pages 239-257

    9. The Effect of Education and Training on Mental Workload in Medical Education

      • Aidan Byrne
      Pages 258-266

  4. Back Matter

    Pages 267-267
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  1. Human Mental Workload: Models and Applications

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About this book

This book constitutes the refereed proceedings of the Second International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2018, held in Amsterdam, The Netherlands, in September 2018.

The 15 revised full papers presented together with one keynote were carefully reviewed and selected from 31 submissions. The papers are organized in two topical sections on models and applications.

Editors and Affiliations

  • Dublin Institute of Technology, Dublin, Ireland

    Luca Longo, M. Chiara Leva

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