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State of science: mental workload in ergonomics

机译:科学状况:人体工程学中的精神工作量

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摘要

Mental workload (MWL) is one of the most widely used concepts in ergonomics and human factors and represents a topic of increasing importance. Since modern technology in many working environments imposes ever more cognitive demands upon operators while physical demands diminish, understanding how MWL impinges on performance is increasingly critical. Yet, MWL is also one of the most nebulous concepts, with numerous definitions and dimensions associated with it. Moreover, MWL research has had a tendency to focus on complex, often safety-critical systems (e.g. transport, process control). Here we provide a general overview of the current state of affairs regarding the understanding, measurement and application of MWL in the design of complex systems over the last three decades. We conclude by discussing contemporary challenges for applied research, such as the interaction between cognitive workload and physical workload, and the quantification of workload 'redlines' which specify when operators are approaching or exceeding their performance tolerances. Practitioner Summary: The study of workload in ergonomics has risen in popularity since the 1980s. Applied problems, particularly in transport, have taken centre stage in recent years. New developments in neuroergonomics measurement techniques offer promise in quantifying both the interaction of physical and mental workload, as well as the elusive 'redline' performance limit for overload.
机译:精神工作量(MWL)是人体工学和人为因素中使用最广泛的概念之一,它代表着越来越重要的主题。由于现代技术在许多工作环境中对操作员施加了越来越多的认知要求,而对身体的要求却越来越小,因此了解MWL如何影响性能越来越重要。但是,MWL也是最模糊的概念之一,具有许多定义和相关的维度。此外,MWL研究趋向于集中于通常对安全至关重要的复杂系统(例如运输,过程控制)。在这里,我们提供了有关过去三十年来对MWL在复杂系统设计中的理解,测量和应用的现状的一般概述。最后,我们讨论了应用研究的当前挑战,例如认知工作量和身体工作量之间的相互作用,以及工作量“红线”的量化,这些量化指定了操作员何时接近或超过其性能公差。从业者摘要:自1980年代以来,人体工程学中的工作负载研究日益普及。近年来,应用问题,特别是在运输中,已成为焦点。神经人体工程学测量技术的新发展为量化身体和精神工作量的相互作用以及对过载的难以捉摸的“红线”性能极限提供了希望。

著录项

  • 来源
    《Ergonomics》 |2015年第1期|1-17|共17页
  • 作者单位

    School of Engineering and Design, Brunel University, Uxbridge, UK;

    Faculty of Behavioural and Social Science, University of Groningen, Groningen, The Netherlands;

    Alion Science Corporation, Micro Analysis and Design, Boulder, CO, USA;

    Department of Psychology, University of Central Florida, Orlando, FL, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    mental workload; attention; resources; measurement; applications;

    机译:精神工作量;注意;资源;测量;应用领域;

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