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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
Attention for Chapter 3: The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review
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Citations

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Chapter title
The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review
Chapter number 3
Book title
Human Mental Workload: Models and Applications
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-14273-5_3
Book ISBNs
978-3-03-014272-8, 978-3-03-014273-5
Authors

Giuliano Orru, Luca Longo, Orru, Giuliano, Longo, Luca

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 15%
Student > Master 16 11%
Lecturer 13 9%
Student > Doctoral Student 8 5%
Researcher 7 5%
Other 26 17%
Unknown 59 39%
Readers by discipline Count As %
Computer Science 19 13%
Social Sciences 13 9%
Psychology 11 7%
Engineering 9 6%
Medicine and Dentistry 7 5%
Other 30 20%
Unknown 62 41%