| dc.contributor.author |
Iqbal, Mohd Umair |
|
| dc.contributor.author |
Srinivasan, Babji |
|
| dc.contributor.author |
Srinivasan, Rajagopalan |
|
| dc.date.accessioned |
2018-07-17T09:37:18Z |
|
| dc.date.available |
2018-07-17T09:37:18Z |
|
| dc.date.issued |
2018-01 |
|
| dc.identifier.citation |
Iqbala, Mohd Umair; Srinivasan, Babji and Srinivasan, Rajagopalan, "Towards obviating human errors in real-time through eye tracking", Computer Aided Chemical Engineering, DOI: 10.1016/B978-0-444-64235-6.50207-2, vol. 43, pp. 205-210, Jan. 2018. |
en_US |
| dc.identifier.uri |
https://doi.org/10.1016/B978-0-444-64235-6.50207-2 |
|
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/3786 |
|
| dc.description.abstract |
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. |
|
| dc.description.statementofresponsibility |
by Mohd Umair Iqbal, Babji Srinivasan and Rajagopalan Srinivasan |
|
| dc.format.extent |
vol. 43, pp. 1189-1194 |
|
| dc.language.iso |
en |
en_US |
| dc.publisher |
Elsevier |
en_US |
| dc.subject |
Human errors |
en_US |
| dc.subject |
eye tracking |
en_US |
| dc.subject |
cognitive workload |
en_US |
| dc.subject |
process safety |
en_US |
| dc.subject |
learning |
en_US |
| dc.title |
Towards obviating human errors in real-time through eye tracking |
en_US |
| dc.type |
Article |
en_US |
| dc.relation.journal |
Computer Aided Chemical Engineering |
|