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2017
Conference Paper
Titel
Human factors in Maritime risk management: Simulation & modeling
Abstract
We present results of an on-going research project funded by the Singapore Maritime Institute (SMI), focusing on two complementary aspects of human factors simulation and modeling. We study human factors in a maritime simulator-based environment to analyze the causes of human error/failure, using tools to recognize mental workload and stress levels from Electroencephalogram (EEG), and to monitor behavior and to analyze the relationships between mental workload, stress and the corresponding task performance. We also research on the causes and effects of human errors in relation to typical design or operational practices, such as noise and vibration or ship motions upon typical human impartment factors, which we present in the form of quantitative risk models, leading to risk-based design procedures with applications on ships.