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Tracking Stress and Workload in the Maritime/Tugboat World

机译:追踪海上/拖船世界中的压力和工作量

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The Dutch research institute MARIN, the Technical University of Berlin, Philips and k+s projects would like to present the findings of a pilot study into stress/workload measurements during training in a ship-handling simulator. Working on a tug has unique demands, made more challenging by fatigue and a high workload, and influenced by special demands such as noise, the intense mixture of private and work life, and what often prove to be extreme environmental challenges. The objective of this pilot study is to determine the most suitable tool to determine the workload a person experiences when executing complex tug manoeuvres. Scenarios are selected strictly according to real life on the bridge, focusing on tugboat reality. Measurements include heartbeat rate and skin conductivity, plus an EEG, but also include simulator signals. The human body is a very sophisticated control circuit, and to choose different ways of looking at the way a human expresses himself is like joining puzzle elements to a complete picture. Together they pinpoint what is most challenging for the test person. The findings will be evaluated to assess which signals are most suitable to obtain a reliable workload indicator. This tool can be used to study the impact of job procedures, modern bridge design and time/work shift systems, but also to measure the effectiveness of training programmes. The pilot study is the follow up of the demonstration of Training Meets Science during ITS 2014 in Hamburg, initiated and organised by k+s projects, the University of Applied Sciences Bremen, and University of Technology Berlin.
机译:荷兰研究机构MARIN,柏林工业大学,飞利浦和k + s项目希望介绍在船舶操纵模拟器培训期间进行压力/工作量测量的初步研究的结果。在拖船上工作有独特的要求,疲劳和繁重的工作量使挑战变得更加艰巨,并且受到诸如噪音,私人生活和工作生活的强烈混合等特殊要求的影响,而这通常被证明是极端的环境挑战。这项初步研究的目的是确定最合适的工具,以确定一个人在执行复杂的拖船操纵时所承受的工作量。严格根据桥上的真实生活来选择场景,重点是拖船的真实性。测量包括心跳速率和皮肤电导率,以及EEG,但还包括模拟器信号。人体是一个非常复杂的控制电路,选择不同的方式看待人类表达自己的方式就像将拼图元素连接到一张完整的图片上。他们共同确定了测试人员面临的最大挑战。将对调查结果进行评估,以评估最适合获得可靠工作量指标的信号。该工具可用于研究工作程序,现代桥梁设计和时间/工作轮班系统的影响,还可用于衡量培训计划的有效性。这项初步研究是k + s项目,不来梅应用科学大学和柏林工业大学发起并组织的2014汉堡ITS培训会议科学演示的后续活动。

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