Towards Obviating Human Errors in Real-time through Eye Tracking

被引：10

作者：

Iqbal, Mohd Umair ^{[1
]}

Srinivasan, Babji ^{[1
]}

Srinivasan, Rajagopalan ^{[2
]}

机构：

[1] Indian Inst Technol Gandhinagar, Ahmadabad 382355, Gujarat, India

[2] Indian Inst Technol Madras, Madras 600036, Tamil Nadu, India

来源：

28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2018年 / 43卷

关键词：

Human errors; eye tracking; cognitive workload; process safety; learning; OPERATORS; WORKLOAD;

D O I：

10.1016/B978-0-444-64235-6.50207-2

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

To minimize human errors (principal reasons for accidents in process industries) it is imperative to understand their cognitive workload, the excess of which is often a preliminary state leading to human errors. In this work, we have devised a methodology based on an eye tracking parameter- gaze entropy-to gauge the variation of cognitive work load on a control room operator. The study highlights the potential of gaze entropy in observing the variation of cognitive workload with learning. The patterns observed have a potential to minimize human errors and improve safety in process industries.

引用

页码：1189 / 1194

页数：6

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