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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 Mental Workload Monitoring: New Perspectives from Neuroscience
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    Chapter 2 Real-Time Mental Workload Estimation Using EEG
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    Chapter 3 Student Workload, Wellbeing and Academic Attainment
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    Chapter 4 Task Demand Transition Rates of Change Effects on Mental Workload Measures Divergence
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    Chapter 5 Validation of a Physiological Approach to Measure Cognitive Workload: CAPT PICARD
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    Chapter 6 COMETA: An Air Traffic Controller’s Mental Workload Model for Calculating and Predicting Demand and Capacity Balancing
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    Chapter 7 EEG-Based Workload Index as a Taxonomic Tool to Evaluate the Similarity of Different Robot-Assisted Surgery Systems
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    Chapter 8 Deep Learning for Automatic EEG Feature Extraction: An Application in Drivers’ Mental Workload Classification
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    Chapter 9 Hybrid Models of Performance Using Mental Workload and Usability Features via Supervised Machine Learning
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    Chapter 10 Operator Functional State: Measure It with Attention Intensity and Selectivity, Explain It with Cognitive Control
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    Chapter 11 On the Use of Machine Learning for EEG-Based Workload Assessment: Algorithms Comparison in a Realistic Task
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    Chapter 12 Do Cultural Differences Play a Role in the Relationship Between Time Pressure, Workload and Student Well-Being?
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    Chapter 13 Ocular Indicators of Mental Workload: A Comparison of Scanpath Entropy and Fixations Clustering
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    Chapter 14 Eye-Tracking Metrics as an Indicator of Workload in Commercial Single-Pilot Operations
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    Chapter 15 EEG-Based Mental Workload and Perception-Reaction Time of the Drivers While Using Adaptive Cruise Control
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Title
Human Mental Workload: Models and Applications
Published by
Springer International Publishing, December 2019
DOI 10.1007/978-3-030-32423-0
ISBNs
978-3-03-032422-3, 978-3-03-032423-0
Editors

Longo, Luca, Leva, Maria Chiara

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