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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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