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Human Mental Workload: Models and Applications

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Cover of 'Human Mental Workload: Models and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Understanding, Supporting, and Redesigning Cognitive Work
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    Chapter 2 Assessing Workload in Human-Machine Teams from Psychophysiological Data with Sparse Ground Truth
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    Chapter 3 The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review
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    Chapter 4 Developing an Objective Indicator of Fatigue: An Alternative Mobile Version of the Psychomotor Vigilance Task (m-PVT)
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    Chapter 5 Workload Assessment Using Speech-Related Neck Surface Electromyography
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    Chapter 6 Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education
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    Chapter 7 Measuring the Mental Workload of Operators of Highly Automated Vehicles
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    Chapter 8 Latency Differences Between Mental Workload Measures in Detecting Workload Changes
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    Chapter 9 Mental Workload and Other Causes of Different Types of Fatigue in Rail Staff
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    Chapter 10 On the Mental Workload Assessment of Uplift Mapping Representations in Linked Data
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    Chapter 11 An Empirical Approach to Workload and Human Capability Assessment in a Manufacturing Plant
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    Chapter 12 Mental Workload in the Explanation of Automation Effects on ATC Performance
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    Chapter 13 The Complementary Role of Activity Context in the Mental Workload Evaluation of Helicopter Pilots: A Multi-tasking Learning Approach
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    Chapter 14 The Effect of an Exceptional Event on the Subjectively Experienced Workload of Air Traffic Controllers
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    Chapter 15 The Effect of Education and Training on Mental Workload in Medical Education
Overall attention for this book and its chapters
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Mentioned by

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1 Wikipedia page

Citations

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Readers on

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10 Mendeley
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Title
Human Mental Workload: Models and Applications
Published by
Springer International Publishing, April 2019
DOI 10.1007/978-3-030-14273-5
ISBNs
978-3-03-014272-8, 978-3-03-014273-5
Editors

Longo, Luca, Leva, M. Chiara

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Postgraduate 3 30%
Unspecified 2 20%
Lecturer 1 10%
Professor 1 10%
Other 3 30%
Readers by discipline Count As %
Psychology 3 30%
Engineering 3 30%
Unspecified 2 20%
Computer Science 1 10%
Sports and Recreations 1 10%
Other 3 30%