Electronics and Communication Department, Visvesvaraya National Institute of Technology, Nagpur, India.
IISE Trans Occup Ergon Hum Factors. 2022 Apr-Jun;10(2):91-103. doi: 10.1080/24725838.2022.2076177. Epub 2022 May 30.
OCCUPATIONAL APPLICATIONSModernization of process plants has replaced traditional machine control with sophisticated computerized control, with the work required of control room operators changing from predominantly physical to cognitive. As a result, excessive cognitive workload during an abnormal condition is not an uncommon situation. Almost 70% of accidents in process industries are the result of human error, which is largely modulated by high cognitive workload. A context-dependent methodology using pupillometry was adopted in this study for workload assessment. We found that workload has a significant effect on task performance and subsequent success in handling an abnormal condition. Incorporating contextual information along with pupillometry-based measures was useful to explore the dynamics of variations in workload in depth. In addition, the proposed methodology is a more reliable method for a dynamic environment in which the situation evolves with operator interactions with the process.
职业应用
工厂的现代化已经将复杂的计算机控制取代了传统的机器控制，控制室操作人员的工作从主要的体力劳动转变为认知劳动。因此，在异常情况下，认知工作量过大的情况并不少见。过程工业中近 70%的事故是人为错误造成的，而人为错误在很大程度上是由高认知工作量引起的。本研究采用基于瞳孔测量的上下文相关方法进行工作量评估。我们发现，工作量对任务绩效和随后处理异常情况的成功有显著影响。结合上下文信息和基于瞳孔测量的指标，有助于深入探讨工作量变化的动态。此外，所提出的方法是一种更可靠的方法，适用于随着操作员与过程的交互而不断变化的动态环境。
