Iqbal, Mohd UmairMohd UmairIqbalSrinivasan, BabjiBabjiSrinivasanSrinivasan, RajagopalanRajagopalanSrinivasan2025-08-302025-08-302018-01-01[9780444642356]10.1016/B978-0-444-64235-6.50207-22-s2.0-85049328197https://d8.irins.org/handle/IITG2025/22969To 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.falsecognitive workload | eye tracking | Human errors | learning | process safetyBook Chapter1189-11941 January 201815chBook Series8