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Application of System Identification Techniques to Revealing Professional Skills of Teams of Human-Operators

机译:系统识别技术在人类操作员团队专业技能揭示中的应用

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摘要

Abstract: The paper is devoted to a methodology oriented to eliciting professional skills of a team of human-operators of a technological plant by applying system identification techniques. Within the frameworks, the aim is to derive an input/output model that might reflect the actual level of group professional competences and skills. Deriving the required input/output model is based on applying such a kind of the “proxy”, that is indirect, variables as the time. Namely, there is applied the time that is needed to the team of human-operators to make a decision on the plant process behavior using information provided by information sources distributed over an information & control board, such as, say, group view displays (GVD). In turn, these times are proposed to be fixed by use of eye trackers. Obtained in such a manner and calculated by use of data of observation of actual algorithm of experienced human-operator team performance, the model characteristics represent a tool for evaluation of human-operator team experience.
机译:摘要:本文致力于通过应用系统识别技术来激发技术工厂的一组人为操作员的专业技能的方法。在这些框架内,目标是获得一个可以反映团体专业能力和技能的实际水平的输入/输出模型。推导所需的输入/输出模型是基于应用这种“代理”(即间接的)时间变量。即,使用了由操作员团队使用由分布在信息和控制板上的信息源提供的信息来决定工厂过程行为的时间,例如组视图显示(GVD)。 )。反过来,建议通过使用眼动仪来固定这些时间。以这种方式获得并通过使用经验丰富的人力-运营团队绩效的实际算法的观测数据来计算,模型特征代表了一种评估人力-运营团队经验的工具。

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