research-article

Impacts of sleep deprivation on vigilance, fatigue, and performance during simulated train driving

Authors:

Clara Theresia,

Hardianto Iridiastadi,

Gradiyan Budi PratamaAuthors Info & Claims

HP3C: Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications

Pages 45 - 50

https://doi.org/10.1145/3195612.3195625

Published: 15 March 2018 Publication History

Abstract

Drowsiness is one of the main factors that contribute to the occurrence of accidents, particularly in the transportation sector. While the effects of sleep deprivation on cognitive functions have been reported, the exact relationships remain a critical issue. This study aimed at quantifying the effects of extreme sleep deprivation on vigilance, fatigue, and performance during simulated train driving. A total of 12 participants were asked to drive a train simulator continuously for 4 hours, either in a sleep deprived condition (2-hr of sleep) or normal (8-hr of sleep) condition. Dependent variables obtained during the task included Psychomotor Vigilance Task (PVT) parameters, degree of fatigue (assessed via Visual Analogue Scale/VAS) and sleepiness (reported using Karolinska Sleepiness Scale/KSS), and driving performance (the number of speed limit violations). Findings from this study demonstrated substantial decrements in vigilance in the sleep-deprived condition. This condition also resulted in 75% increase in speed violation and a two-fold increase in the degree of fatigue and sleepiness. Extreme sleep deprivation was clearly associated with substantially poorer response. The exact effects, however, were dependent upon the types of responses.

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Cited By

Wang XWu MXu CYang XCai B(2024)State space model detection of driving fatigue considering individual differences and time cumulative effectInternational Journal of Transportation Science and Technology10.1016/j.ijtst.2023.12.00413(200-212)Online publication date: Mar-2024
https://doi.org/10.1016/j.ijtst.2023.12.004
Fan CHuang SLin SXu DPeng YYi S(2022)Types, Risk Factors, Consequences, and Detection Methods of Train Driver Fatigue and DistractionComputational Intelligence and Neuroscience10.1155/2022/83280772022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8328077

Index Terms

Impacts of sleep deprivation on vigilance, fatigue, and performance during simulated train driving
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Laboratory experiments

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cover image ACM Other conferences

HP3C: Proceedings of the 2nd International Conference on High Performance Compilation, Computing and Communications

March 2018

123 pages

ISBN:9781450363372

DOI:10.1145/3195612

Conference Chair:
Steven Guan
Xi'an Jiaotong-Liverpool University, China

Copyright © 2018 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2018

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Indonesian Ministry for Research, Technology, and Higher Education

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HP3C 2018

HP3C 2018: 2018 2nd International Conference on High Performance Compilation, Computing and Communications

March 15 - 17, 2018

Hong Kong, Hong Kong

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Cited By

Wang XWu MXu CYang XCai B(2024)State space model detection of driving fatigue considering individual differences and time cumulative effectInternational Journal of Transportation Science and Technology10.1016/j.ijtst.2023.12.00413(200-212)Online publication date: Mar-2024
https://doi.org/10.1016/j.ijtst.2023.12.004
Fan CHuang SLin SXu DPeng YYi S(2022)Types, Risk Factors, Consequences, and Detection Methods of Train Driver Fatigue and DistractionComputational Intelligence and Neuroscience10.1155/2022/83280772022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8328077

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