Jurnal Rekayasa Sistem Industri
Vol. 12 No. 2 (2023): Jurnal Rekayasa Sistem Industri

Kajian Indikator Eye Tracking untuk Deteksi Kewaspadaan pada Pekerjaan Inspeksi dengan Batasan Durasi Tidur dan Perbedaan Jenis Kelamin

Daniel Siswanto (Parahyangan Catholic University)
Adriana Jennifer Sugiharta (Parahyangan Catholic University)
Thedy Yogasara (Parahyangan Catholic University)
Yansen Theopilus (Parahyangan Catholic University)



Article Info

Publish Date
25 Oct 2023

Abstract

Eye tracking (ET) has been widely used to detect ocular changes that are also correlated with fatigue. However, whether there is an ET indicator capable of detecting fatigue closely related to vigilance decrement is unknown. This study aims to determine which ET indicators are sensitive in detecting changes in vigilance due to sleep restriction (4 and 8 hours) in different gender. Fifty-six participants (28 men, 21.32 ± 1.16 years and 28 women, 21.5 ± 1.2 years) were involved in this study. Using an eye tracker device, participants were asked to simulate inspecting defects (dirt, scratches, missing parts, and poor assembly) at 50 flashlights. In addition, vigilance assessment was carried out with the Psychomotor Vigilance Task (PVT) and the Karolinska Sleepiness Scale (KSS). The results of ANOVA showed that sleep restriction affected the mean RT (p-value = 0.001), minor lapse (p-value = 0.036), mean 1/RT (p-value = 0.001), saccadic velocity (p-value = 0.001), and KSS (p-value = <0.001). Gender influenced the mean 1/RT (p-value = 0.016), pupil diameter (p-value = 0.022), and saccadic velocity (p-value = 0.030). The Pearson correlation test shows a weak relationship between the ET and PVT indicators. However, saccadic velocity has the potential to be able to detect changes in vigilance because it is influenced by sleep restriction. Further research is still needed to confirm these results because the correlation between saccade velocity and PVT indicators in this study still needs to show a stronger relationship to become a vigilance indicator.

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Journal Info

Abbrev

jrsi

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Data and Analytics Decision Analysis E-Business and E-Commerce Engineering Economy and Cost Analysis Human Factors Information Systems Intelligent Systems Manufacturing Systems Operations Research Production Planning and Control Project Management Quality Control and Management Reliability and ...