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ANALISIS INDIKATOR EYE TRACKING UNTUK MENDETEKSI KEWASPADAAN YANG DIPENGARUHI PEMBATASAN DURASI TIDUR DAN WAKTU PEMERIKSAAN

*Thedy Yogasara orcid scopus publons  -  Universitas Katolik Parahyangan, Indonesia
Rosi Filia Kristina Sidabutar  -  Universitas Katolik Parahyangan, Indonesia
Daniel Siswanto  -  Universitas Katolik Parahyangan, Indonesia
Yansen Theopilus orcid scopus  -  Universitas Katolik Parahyangan, Indonesia

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Abstract

Eye tracking (ET) banyak digunakan untuk mendeteksi perubahan okular, namun belum banyak penelitian yang menganalisis kemampuan indikator ET dalam mendeteksi kewaspadaan. Padahal indikator okular banyak dikaitkan dengan kelelahan yang dapat menurunkan kewaspadaan. Penelitian ini bertujuan menentukan indikator ET yang dapat mendeteksi kewaspadaan pada pembatasan durasi tidur dan waktu pemeriksaan. Penelitian melibatkan 28 pria yang diminta melakukan inspeksi cacat (scratch, dirt, missing part, dan poor assembly) pada 50 senter sambil dilakukan pengukuran Psychomotor Vigilance Task (PVT) dan indikator ET. Durasi tidur dibatasi 4 dan 8 jam, serta waktu pemeriksaan terdiri dari waktu yang dibatasi dan tidak dibatasi. Variabel terikat adalah mean RT (reaction time), % minor lapses, dan mean 1/RT dari PVT. Dari ET diukur durasi fiksasi, diameter pupil, jumlah sakadik, dan kecepatan sakadik. Hasil eksperimen diolah dengan Two-way Repeated Measures ANOVA dan Pearson Correlation. Hasil ANOVA dengan signifikansi α=0,05 menunjukkan terdapat pengaruh durasi tidur terhadap mean RT, % minor lapses, dan mean 1/RT. Sedangkan waktu pemeriksaan berpengaruh terhadap durasi fiksasi dan jumlah sakadik. Berdasarkan uji Pearson Correlation, indikator ET dan PVT berkorelasi lemah atau sangat lemah. Hasil penelitian menunjukkan tidak terdapatnya indikator ET yang cukup baik untuk mendeteksi kewaspadaan pada pembatasan durasi tidur dan waktu pemeriksaan.

 

Abstract

[Analysis of Eye Tracking Indicators to Detect Vigilance Affected by Sleep Duration and Inspection Time Constraints] Eye tracking (ET) is widely used to detect ocular changes. However, few studies analyze the capability of ET indicators for detecting vigilance, albeit ocular indicators are often associated with fatigue which can reduce vigilance. This study aims to determine ET indicators that can detect vigilance on limited sleep and inspection duration. This study involved 28 men who were asked to perform inspection tasks for defects (scratch, dirt, missing parts, and poor assembly) on 50 flashlights while Psychomotor Vigilance Task (PVT) and ET indicators were measured. Sleep duration was limited to 4 and 8 hours, while inspection duration consisted of two levels, i.e. limited and not limited. Dependent variables were mean RT (reaction time), % minor lapses, and mean 1/RT of PVT. Furthermore, ET indicators included duration fixation, pupil diameter, number of saccades, and saccades velocity. The data were processed using Two-way Repeated Measures ANOVA and Pearson Correlation. ANOVA with significance of α=0,05 shows that there was an effect of sleep duration on mean RT, % minor lapses, and mean 1/RT. In addition, inspection duration had an effect on fixation duration and number of saccades. Based on Pearson Correlation test, all ET and PVT indicators had weak or very weak correlation. This research indicates that there is no ET indicator that is adequate to detect vigilance in limited sleep and inspection duration.

Keywords: eye tracking; inspection duration; sleep duration; vigilance

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Keywords: durasi tidur; eye tracking; kewaspadaan; waktu pemeriksaan

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  1. Abe, T., Nonomura, T., Komada, Y. Asaoka, S., Sasai, T., Ueno, A., & Inoue, Y. (2011). Detecting deteriorated vigilance using percentage of eyelid closure time during behavioral maintenance of wakefulness tests. International Journal of Psychophysiology, 82(3), 269-274
  2. Al-Shargie, F., Tariq, U., Mir, H., Alawar, H., Babiloni, F., & Al-Nashash. (2019). Vigilance decrement and enhancement techniques: A review. Brain Sciences, 9(8), 1-36
  3. Anderson, C., Wales, A. W. J., & Horne, J. A. (2010). PVT lapses differ according to eyes open, closed, or looking away. Sleep Research Society, 33(2): 197-204
  4. Assauri, S. (1998). Manajemen Operasi dan Produksi. Jakarta: LPFE UI
  5. Baiasu, A. M., & Dumitrescu, C. (2021). Contributions to driver fatigue detection based on eye-tracking. International Journal of Circuits, Systems, and Signal Processing, 15, 1-7
  6. Basner, M., & Dinges, D. F. (2011). Maximizing sensitivity of the Psychomotor Vigilance Test (PVT) to sleep loss. Sleep, 34(5), 581-591
  7. Basner, M., Mollicone, D., & Dinges, D. F. (2011). Validity and sensitivity of a brief psychomotor vigilance test (PVT-B) to total and partial sleep deprivation. Acta Astronaut, 69(11-12), 949-959
  8. Berka, C., Davis, G., Levendowski, D. J., & Zivkovic, T., (2007). EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviation Space and Environmental Medicine, 78(5), 231-244
  9. Bodala, I. P., Abbasi, N. I., Sun, Y., Bezerianos, A., Al-Nashash, H., & Thakor, N. V. (2017). Measuring vigilance decrement using computer vision assisted eye tracking in dynamic naturalistic environments. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, 2478-2481
  10. Budiono, C. K. (2018). Penentuan Jenis Aromaterapi bagi Pengemudi Kekurangan Tidur pada Kondisi Jalan Monoton. Skripsi Program Studi Sarjana Teknik Industri. Bandung: Universitas Katolik Parahyangan
  11. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295-336
  12. Crescenzi, A., Kelly, D., & Azzopardi, L. (2016). Impacts of time constraints and system delays on user experience. In Conference on Human Information Interaction and Retrieval, 2016, 141-150
  13. Dawson, D., Searle, A. K., & Peterson, J. L. (2014). Look before you (s)leep: Evaluating the use of fatigue detection technologies within a fatigue risk management system for the road transport industry. Sleep Medicine Reviews, 18(2), 141-152
  14. De Gennaro, L., Ferrara, M., Urbani, L., & Bertini, M. (2000). Oculomotor impairment after 1 night of total sleep deprivation: A dissociation between measures of speed and accuracy. Clinical Neurophysiol, 111(2000), 1771-1778
  15. Dinges, D. F. (1995). An overview of sleepiness and accidents. Journal of Sleep Research, 4(S2), 4-14
  16. Dunn, N., & Williamson, A. (2012). Driving monotonous routes in a train simulator: The effect of task demand on driving performance and subjective experience. Ergonomics, 55(9), 997-1008
  17. Franzen, P. L., Buysse, D. J., Dahl, R. E., Thompson, W., & Siegle, G. J. (2009). Sleep deprivation alters pupillary reactivity to emotional stimulus in healthy young adults. Biol Psychol, 80(3): 300-305
  18. Frost, J. (2018). Interpreting Correlation Coefficients, [Online], Retrieved from: https://statisticsbyjim.com/basics/correlations/ [2022, 22 July]
  19. Granholm, E., Asarnow, R. F., Sarkin, A. J., & Dykes K. L. (1996). Pupillary responses index cognitive resource limitations. Society for Psychophysiological Research, 33(4), 457-461
  20. Johansson, B., & Balkenius, C. (2018). A computational model of pupil dilation. Connection Science, 30(1), 1-15
  21. Korber, M., Cingel, A., Zimmermann, M., & Bengler, K., (2015). Vigilance decrement and passive fatigue caused by monotony in automated driving. Procedia Manufacturing, 3(2015), 2403-2409
  22. Lamond, N., Jay, S. M., Dorrian, J., Ferguson, S. A., Roach, G. D., & Dawson, D. (2008). The sensitivity of a palm-based psychomotor vigilance task to severe sleep loss. Behavior Research Method, 40(1), 347-352
  23. Ma, F., Xiao, Y., Cai, G., Xu, F. G., & Chen, S. G. (2017). Effect of mental fatigue on error monitoring. Advances in Biological Sciences Research (ABSR), 4, 276-284
  24. Mackworth, N. H. (1948). The breakdown of vigilance durning prolonged visual search. Quarterly Journal of Experimental Psychology, 1(1), 6-21
  25. Maxwell, S. E., & Delaney, H. D. (2004). Designing Experiments and Analyzing Data: A Model Comparison Perspective, Second Edition. London: Lawrance Erlbaum Associates
  26. May, J. F., & Baldwin, C. L. (2009). Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies. Transportation Research Part F, 12, 218-224
  27. Ohayon, M., Wickwire, E. M., Hirshkowitz, M., Albert, S. M., Avidan, A., Daly, F. J., Dauvilliers, Y., Ferri, R., Fung, C., Gozal, D., Hazen, N., Krystal, A., Lichstein, K., Mallampalli, M., Plazzi, G., Rawding, R., Scheer, F. A., Somers, V., & Vitiello, M. V. (2017). National Sleep Foundation’s sleep quality recommendations: First report. Sleep Health-Journal of the National Sleep Foundation, 3, 6-19
  28. Pattyn, N., Neyt, X., Henderickx, D., & Soetens, E., (2008). Psychophysiological investigation of vigilance decrement: Boredom or cognitive fatigue?. Physiology & Behavior, 93(1-2), 369-378
  29. Reed, D. L., & Sacco, W. P. (2016). Measuring sleep efficiency: What should the denominator be? Journal of Clinical Sleep Medicine, 12(2), 263-266
  30. Sagberg, F. (1999). Road accidents caused by drivers falling asleep. Accident Analysis and Prevention, 31, 639-649
  31. Schleicher, R., Galley, N., Briest, S., & Galley, L. (2008). Blinks and saccades as indicators of fatigue in sleepiness warnings: Looking tired?. Ergonomics, 51(7), 982-1010
  32. Tobii Pro. (2020). Tobii Pro Glasses 2 User’s Manual, Version 1.1.3 (p. 6). Tobii AB
  33. Tobii Pro. (2021). What is Eye Tracking? [Online]. Retrieved from: https://tech.tobii.com/technology/what-is-eye-tracking/ [2022, 4 February]
  34. Warm, J. S. (1977). Psychological processes in sustained attention. In Mackie, R. R. (ed.), Vigilance: Theory, Operational Performance and Physiological Correlates. New York: Plenum Publishing
  35. Warm, J. S., Matthews, G., & Finomore, V. (2008). Vigilance, workload, and stress. In Hancock, P. A. & Szalma J. L. (eds.), Performance Under Stress. Burlington: Ashgate Publishing Company
  36. Wijayanto, T., Marcilia, S. R., & Lufityanto, G. (2018). Visual attention, driving behavior and driving performance among young drivers in sleep-deprived condition. KnE Life Sciences, 4(5), 424-434
  37. Williamson, A., Lombardi, D. A., Folkard, S., Stutts, J., Courtney, T. K., & Connor, J. L. (2011). The link between fatigue and safety. Accident Analysis and Prevention, 43(2), 498-51

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