行为指标——核控制室操作员过度认知负荷的评估方法?

Per Øivind Braarud, Giovanni Pignoni
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摘要

认知负荷恶化控制室团队的表现是人类技术设计和评估的中心主题。然而,虽然这是一个重要的研究课题,但文献中很少有关于复杂动态人体系统工作中过度认知负荷的研究。已经开发了多种技术来采样工作负载。尽管如此,他们都在努力确定过度工作量的本质,捕捉变化,但把解释留给研究者。为了推进复杂工作过度认知负荷的测量,本文提出了行为指标的研究。基于行为的方法不同于绩效衡量,因为它们关注的是操作者的行为,而不是行动的结果。嵌入在操作者行为中的信息可能不能直接反映任务的结果。本文从任务优先级、工作实践和低级行为三个方面提出了指标类别。该方法意味着要了解控制室团队如何适应和管理任务负荷,以及操作员如何受到高工作量的影响——以便确定指标,并根据这些认知工作量指标制定和验证措施。本文提出了对模拟器研究的初步回顾,确定了诸如降低次要任务的优先级,减少对全局过程概述的关注,在任务需求上请求或提供团队支持,减少工作验证,以及通信中的延迟响应等适应。此外,我们简要地考虑支持这些措施所需的技术和人员配置要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavioral indicators - an approach for assessing nuclear control room operators’ excessive cognitive workload?
Cognitive workload that deteriorates the control room team’s performance is a central topic for human-technology design and evaluation. However, while stated as an essential research topic, the literature provides few studies investigating the excessive cognitive workload of complex dynamic human-system work. Multiple techniques have been developed to sample workload. Still, they all struggle to determine the nature of excessive workload, capturing change but leaving the interpretation to the investigator. To advance the measurement of excessive cognitive workload of complex work, this paper proposes to investigate behavioral indicators. Behavioral-based methods differ from performance measures as they concentrate on the operator's behavior rather than the outcome of the actions. The information embedded in the operator’s behavior may not directly reflect the outcome of the task. The paper proposes indicator categories in terms of task prioritization, work practices and low-level behavior. The approach implies developing an understanding of how control room teams adapt to and manage task load and how operators are affected by high workload – for the identification of indicators, and for the development and validation of measures from these cognitive workload indicators. The paper presents an initial review of simulator studies identifying adaption such as down-prioritizing secondary tasks, reducing attention to global process overview, asking for or providing team support on task demand, reducing verification of work, and delayed response in communication. Furthermore, we briefly consider the technical and staffing requirements necessary to support these measures.
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