20.500.12556/RUL-134464 Human factor in navigation overview of cognitive load measurement during simulated navigational tasks This paper is intended to give an overview of the experiments to evaluate the cognitive load of the officer on watch (OOW) during a collision avoidance maneuver in a full-mission simulator. The main goal is to investigate the possibilities of recording the biometric parameters of an OOW during a simulated collision avoidance maneuver. Potentially dangerous navigation errors known as human erroneous action (HEA) are induced by excessive cognitive load. Despite modern navigational aids on the ship’s bridge, investigators of maritime incidents typically link the reason for incidents at sea with human factors, including high cognitive load. During the experimental tasks on the bridge, the biometric parameters of the OOW are recorded. Statistical tools are used to visualize the data and evaluate the cognitive load of the OOW. Biometric peaks of the OOW typically occur either during the collision avoidance maneuver or when the OOW has been exposed to disturbing factors that increase reaction time and cause potentially dangerous navigation. Assessing the cognitive load of OOWs in the simulator is challenging for several reasons: e.g., the environmental conditions of the simulator, the type of task to be simulated, and even the type of sensor used. After careful study of the available literature, an original experimental design using non-invasive biometric sensors is proposed. cognitive load human factor human erroneous action marine simulator disturbing factor stress kognitivna obremenitev človeški faktor človeške napake navtični simulatorji moteči dejavniki stres true false true Angleški jezik Slovenski jezik Članek v reviji 2022-01-17 10:14:04 2022-01-17 10:14:05 2022-09-13 03:55:19 0000-00-00 00:00:00 2020 0 0 11 str. iss. 10, art. 775 Vol. 8 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.39:159.937:656.6 2077-1312 10.3390/jmse8100775 31595267 RAZ_Zagar_Dejan_2020.pdf RAZ_Zagar_Dejan_2020.pdf 1 AB08C9669C64FAF1CE85926B841D1DF8 35caafb7d68b98966b1a92d69e3e63b9a1924ccc3bed959a1989fa11c6f6f17b 00d3eea1-7776-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=152932 https://www.mdpi.com/2077-1312/8/10/775 1 a181931b-7775-11ec-abdb-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=152931 Fakulteta za pomorstvo in promet Filozofska fakulteta Fakulteta za elektrotehniko 0 0 0