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Impact of training methods on Distributed Situation Awareness of industrial operators

机译:培训方法对工业经营者分布式态势感知的影响

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Industrial operators have an important role to play in terms of reducing the probability of accidents by utilizing their awareness and understanding of the system and the situation during normal and abnormal operating conditions. Industrial operators are important barriers against accidents. Distributed Situation Awareness (DSA) has been shown to correlate with positive performance and goal achievement. The role of individual operators as barriers against accidents calls for a greater understanding of DSA in the process industry and industrial plants. Industrial operators must cope with uncertainties with regards to the information they must process in normal and abnormal situations, while working in geographically dispersed locations and with different teams. The significance of DSA during an abnormal situation increases manifold and influences the possible consequences of an accident scenario. Aim of this article is to consider the effect of two distinct training methods on DSA and safety-related performance of industrial operators during an accident scenario. The results show that participants trained with the help of 3D virtual environments (N = 12) were able to maintain better DSA and performed effectively within a simulated scenario as compared to those (N = 12) trained with a conventional training method. (C) 2014 Elsevier Ltd. All rights reserved.
机译:通过在正常和异常操作条件下利用他们对系统和情况的了解和理解,工业操作员在降低事故可能性方面可以发挥重要作用。工业经营者是防止事故发生的重要障碍。分布式态势感知(DSA)已被证明与积极绩效和目标达成相关。个体操作员作为防止事故的障碍的角色要求对过程工业和工厂中的DSA有更深入的了解。工业运营商必须处理在正常和异常情况下必须处理的信息方面的不确定性,同时要在地理位置分散的位置和与不同的团队一起工作。在异常情况下,DSA的重要性增加了很多,并影响了事故场景的可能后果。本文的目的是考虑两种不同的培训方法在事故场景中对DSA和工业操作员安全相关性能的影响。结果表明,与通过传统训练方法训练的参与者(N = 12)相比,在3D虚拟环境(N = 12)的帮助下训练的参与者能够在模拟场景中维持更好的DSA并有效地表现。 (C)2014 Elsevier Ltd.保留所有权利。

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