Human Mental Workload: Models and Applications
5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings
Published on 21. November 2021
Book
Paperback/Softback
X, 165 pages
978-3-030-91407-3 (ISBN)
Description
This book constitutes the refereed proceedings of the 5th International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2021, held virtually in November 2021.The volume presents 9 revised full papers, which were carefully reviewed and selected from 16 submissions. The papers are organized in two topical sections on models and applications.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
12 s/w Abbildungen, 22 farbige Abbildungen
X, 165 p. 34 illus., 22 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 10 mm
Weight
277 gr
ISBN-13
978-3-030-91407-3 (9783030914073)
DOI
10.1007/978-3-030-91408-0
Schweitzer Classification
Other editions
Additional editions
Luca Longo | Maria Chiara Leva
Human Mental Workload: Models and Applications
5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings
E-Book
11/2021
Springer
€69.54
Available for download
Content
Models.
- In search of the redline: perspectives on mental workload and the 'underload problem'. - A novel parabolic model of instructional efficiency grounded on ideal mental workload and performance.- Radical Connectionism - Implications for Mental Workload Research.- Fundamental Frequency as an Alternative Method for Assessing Mental Fatigue of Distance Learning Teachers.- A systematic review of older drivers in a level 3 autonomous vehicle: A cognitive load perspective.-
Applications
.- On EEG Preprocessing Role in Deep Learning Effectiveness for Mental Workload Classification.- Mental Workload Assessment in Military Pilots Using Flight Simulators and Physiological Sensors.- Exploring the Influence of Information Overload, Internet Addiction, and Social Network Addiction, on Students' Well-being and Academic Outcomes.- Examining Cognitive Workload during Covid-19: A Qualitative Study.- The Relationship between Workload,Fatigue and Sleep Quality of Psychiatric Staff.