Human Mental Workload: Models and Applications 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings
Title:
Human Mental Workload: Models and Applications 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings
ISBN:
9783030914080
Edition:
1st ed. 2021.
Publication Information New:
Cham : Springer International Publishing : Imprint: Springer, 2021.
Physical Description:
X, 165 p. 34 illus., 22 illus. in color. online resource.
Series:
Communications in Computer and Information Science, 1493
Contents:
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.
Abstract:
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.
Added Corporate Author:
Electronic Access:
Full Text Available From Springer Nature Computer Science 2021 Packages
Language:
English