KnE Life Sciences
ISSN: 2413-0877
The latest conference proceedings on life sciences, medicine and pharmacology.
The Impact of Sleep Deprivation on the Level of Sleepiness, Fatigue, and Stress on Experiment Using Driving Simulator
Published date: Jun 19 2018
Journal Title: KnE Life Sciences
Issue title: International Conference of Occupational Health and Safety (ICOHS 2017)
Pages: 268–280
Authors:
Abstract:
Sleep prior to driving has been discussed widely in fatigue driving research focusing on how it affected driver on duty. This study is intended to compare the impact of prior normal sleep hour and sleep reduction during long-duration driving to subjective sleepiness, fatigue and stress level. To aim this objective, within-subject 2 x 2
experiments was conducted (4 experiments condition). Sleep hour variable consists of ± 4 hours (var11) and ± 8 hours sleep (var12) before driving, and long duration driving consist of non-stop 5 hours driving (var21) ended with 60 minutes rest, and 2.5 hour driving x 2 sessions (var22) with 30 minutes break between session and ended with 30 minutes rest. Driving task conducted in laboratory started at ± 7 am to ± 1 pm using a simulator that set to highway and city route randomly. Thirteen participants were involved in these four experiments, each of them conducted in a different day in random fashion. Karolinska Sleepiness Scale (KSS/scale 1–9) and Visual Analogue Scale (0–10) were applied to rated subjective sleepiness and fatigue level, and saliva amylase was used to measure the participants’ stress level that was collected using Cocoro meter nipro. The result showed that sleepiness and fatigue level under sleep reduction condition was relatively higher compared to the normal sleep condition, while saliva amylase test result slightly increases after experiments, but cannot be
categorized into stress condition yet. The conclusion is a duration and sleep hours before driving factors were induced fatigue, sleepiness and stress to driver, but lack of sleep has a higher impact compare to driving duration. Further research with another profession may give different results.
Keywords: driving simulator, fatigue from driving, Karolinska Sleepiness Scale, sleep deprivation, stress level
References:
[1] Akerstedt, T., Ingre, M., Kecklund, G., et al. (2010). Reaction of sleepiness indicators to partial sleep deprivation, time of day and time on task in a driving simulator—The DROWSI project. Journal Sleep Research, vol. 19, pp. 298–309.
[2] Baulk, S. D., Reyner, L. A., and Horne, J. A. (2001). Driver sleepiness—Evaluation of reaction time measurement as a secondary task. Sleep, vol. 24, no. 6, pp. 695–698.
[3] Philip, P., Sagaspe, P., Moore, N., et al. (2005). Fatigue, sleep restriction and driving performance. Accident Analysis and Prevention, vol. 37, pp. 473–478.
[4] Williamson, A., Lombardi, D. A., Folkard, S., et al. (2011). The link between fatigue and safety. Accident Analysis and Prevention, vol. 43, pp. 498–515.
[5] May, J. F. and 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, pp. 218–224.
[6] WHO Report. Global Status Report on Road Safety 2015. Retrieved from http://www.who.int/violence_injury_prevention/road_safety_status/2015/en/ (accessed on 20 June 2017).
[7] Puspasari, M., Muslim, E., Moch, B. N., et al. (2015). Fatigue measurement in car driving activity using physiological, cognitive, and subjective approaches. International Journal of Technology, vol. 6, no. 6, pp. 971–975.
[8] Connor, J., Whitlock, G., Norton, R., et al. (2001). The role of driver sleepiness in car crashes: A systematic review of epidemiological studies. Accident Analysis and Prevention, vol. 33, pp. 31–41.
[9] Garbarino, S., Nobili, L., Beelke, M., et al. (2001). The contributing role of sleepiness in highway vehicle accidents. Sleep, vol. 24, no. 2.
[10] Smolensky, M. H., Di Milia, L., Ohayon, M. M., et al. (2011). Sleep disorder, medical conditions, and road accident risk. Accident Analysis and Prevention,vol. 43, pp. 533– 548.
[11] Di Milia, L., Smolensky, M. H., Costa, G. (2011). Demographic factors, fatigue, and driving accidents: An examination of the published literature. Accidents Analysis and Prevention, vol. 43, pp. 516–532.
[12] Useche, S. A., Ortiz V. G., Cendales, B. E. (2017). Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers. Accidents Analysis and Prevention, vol. 104, pp.106–114.
[13] Sang, Y. and Li, J. (2012). Research on Beijing bus driver psychology fatigue evaluation. Procedia Engineering, vol. 43, pp. 443–448.
[14] Da Silva, F. P. (2009) Mental workload, task demand, and driving performance: What relation? Procedia- Social and Behavioral Science, vol. 162, pp. 310–319.
[15] Carter, N., Ulfberg, J., Nyström, B., et al. (2003). Sleep debt, sleepiness and accidents among males in the general population and male professional drivers. Accidents Analysis and Prevention, vol. 35, pp. 613–617.
[16] Hallvig, D., Anund, A., Fors, C., et al. (2013). Sleepy driving on the real road and in the simulator – A comparison. Accident Analysis and Prevention, vol. 50, pp. 44–501.
[17] Meuleners, L. and Fraser, M. (2015). A validation study of driving errors using a driving simulator. Transportation Research Part F. 29, pp.14–21.
[18] Dunn, N. and Williamson, A. (2012). Driving monotonous routes in a train simulator: The effect of task demand on driving performance and subjective experience. Ergonomics, vol. 55, no. 9, pp. 997–1008.
[19] Ekanayake, H. B., Backlund, P., Ziemke, T., et al. (2013). Comparing expert driving behavior in real world and simulator contexts. International Journal of Computer Games Technology, vol. 2013, p. 14, article ID 891431.
[20] Kaida, K., Takahashi, M., Åkerstedt, T., et al. (2006). Validation of the Karolinska sleepiness scale against performance and EEG variables. Clinical Neurophysiology, vol. 117, pp. 1574–1581.
[21] Åkerstedt, T. and Gillberg, M. (1990). Subjective and objective sleepiness in the active individual. The International Journal of Neuroscience, vol. 52, no. 1–2, pp. 29– 37.
[22] Putilov, A. A., Donskaya, O. G. (2014). Calibration of an objective alertness scale. International Journal of Psychophysiology, vol. 94, pp. 69–75.
[23] Kim, E., Lovera, J., Schaben, L., et al. (2010). Novel method for measurement of fatigue in multiple sclerosis: Real-Time Digital Fatigue Score. Journal of Rehabilitation Research & Development, vol. 47, no. 5, pp. 477–484.
[24] Yamaguchi, M., Kanemori, T., Kanemaru, M., et al. (2004). Performance evaluation of salivary amylase activity monitor. Biosensors and Bioelectronics, vol. 20, pp. 491– 497.
[25] Komada, Y., Asaoka, S., Abe, T., et al. (2013). Short sleep duration, sleep disorder, and traffic accidents. IATSS Research, vol. 37, pp. 1–7.
[26] Susilowati, I. H. and Yasukouchi, A. (2016). Variation of driving skill among elderly drivers compared to young drivers in Japan, Kesmas. National Public Health Journal, vol. 11, no. 1, pp.1–6.