Influencing factors associated with mental workload among nurses: A latent profile analysis. [PDF]
Jin M +9 more
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Classification of mental workload using brain connectivity and machine learning on electroencephalogram data. [PDF]
Safari M +3 more
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Developing a novel energy-based approach for measuring mental workload. [PDF]
Alotaibi A, Gambatese J, Nnaji C.
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Mental workload evaluation using weighted phase lag index and coherence features extracted from EEG data. [PDF]
Shafiei SB, Shadpour S, Shafqat A.
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EEG Dataset Collection for Mental Workload Predictions in Flight-Deck Environment. [PDF]
Hernández-Sabaté A +4 more
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Mental workload according to sociodemographic and occupational characteristics of professionals in charge of health programs. [PDF]
Luengo-Martínez CE +2 more
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CORRIGENDUM to "Robotic-Assisted Navigation in Single-Level Transforaminal Lumbar Interbody Fusion Reduces Surgeons' Mental Workload Compared With Fluoroscopic and Computed Tomographic Techniques: A Nonrandomized Prospective Controlled Trial". [PDF]
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Related searches:
Growing complexity and increasingly automated features of modern human-machine systems are presenting operators with fewer physical demands and greater cognitive demands. Unlike physical demands, cognitive or mental demands are not directly observable. The concept of mental workload is used to benchmark the mental demands of complex systems.
Young, Mark, Stanton, N.A.
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This chapter begins with an assessment of the nature and characteristics of mental workload and how people have defined it over the years. It looks at the major techniques, their relative advantages and disadvantages and how they are enacted in practical circumstances in the many operational domains to which they can apply.
Hancock, G.M. +3 more
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