Human Mental Workload: Models and Applications 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24–26, 2021, Proceedings /

Human Mental Workload: Models and Applications 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24–26, 2021, Proceedings / [electronic resource] : edited by Luca Longo, Maria Chiara Leva. - 1st ed. 2021. - X, 165 p. 34 illus., 22 illus. in color. online resource. - Communications in Computer and Information Science, 1493 1865-0937 ; . - Communications in Computer and Information Science, 1493 .

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.

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.

9783030914080

10.1007/978-3-030-91408-0 doi


Computer engineering.
Computer networks .
Artificial intelligence.
Education--Data processing.
Social sciences--Data processing.
Computer Engineering and Networks.
Artificial Intelligence.
Computers and Education.
Computer Application in Social and Behavioral Sciences.
Computer Communication Networks.

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