Towards predicting human error: eye gaze analysis for identification of cognitive steps performed by control room operators

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dc.contributor.author Madhu, K.
dc.contributor.author Srinivasan, Babji
dc.contributor.author Srinivasan, Rajagopalan
dc.date.accessioned 2015-07-21T06:36:58Z
dc.date.available 2015-07-21T06:36:58Z
dc.date.issued 2016-07
dc.identifier.citation Madhu, K.; Srinivasan, Babji and Srinivasan, Rajagopalan, “Towards predicting human error: eye gaze analysis for identification of cognitive steps performed by control room operators”, Journal of Loss Prevention in the Process Industries, DOI: 10.1016/j.jlp.2015.07.001, vol. 42, pp. 35-46, Jul. 2016. en_US
dc.identifier.issn 0950-4230
dc.identifier.uri http://dx.doi.org/10.1016/j.jlp.2015.07.001
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1810
dc.description.abstract Today’s plants use highly reliable equipment, state-of-the-art automation and control, and deploy sophisticated safety management regimes so as to make accidents rare. Despite these measures, a number of recent accidents point to the continued need to improve process safety. Various studies indicate that more than 70% of the accidents in process industries originate from human errors. Traditionally, human reliability is accounted for by using Human Error Probabilities, which emphasizes inevitability. In this work, we demonstrate that eye tracking serves as a reliable sensor of various cognitive tasks performed by the operator while managing process abnormalities. Experimental studies conducted on 11 participants reveal characteristic fixation patterns that contain information about their cognitive ability to orient, diagnose and execute recovery actions during abnormal situations. These results hold promise for predicting incipient cognitive failures which in turn would enable proactive measures to prevent human error. en_US
dc.description.statementofresponsibility by K. Madhu, Babji Srinivasan and Rajagopalan Srinivasan
dc.description.statementofresponsibility by K. Madhu, Babji Srinivasan, Rajagopalan Srinivasan
dc.format.extent vol. 42, pp. 35-46
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Process Safety en_US
dc.subject Cognitive Engineering en_US
dc.subject Human Error en_US
dc.subject Eye tracking en_US
dc.subject Prevent human error en_US
dc.subject Control Room Operators en_US
dc.title Towards predicting human error: eye gaze analysis for identification of cognitive steps performed by control room operators en_US
dc.type Article en_US
dc.relation.journal Journal of Loss Prevention in the Process Industries
dc.relation.journal Computers & Chemical Engineering


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