Psychophysiological Predictors of the Quality of Car Simulator Driving Against the Background of Chronic Sleep Deprivation

Мұқаба

Дәйексөз келтіру

Толық мәтін

Аннотация

Vigilance decrement during monotonous work was studied using driving simulator. The objectives of the study were to evaluate psychophysiological predictors of vigilance decrement and to test two noninvasive techniques to reduce sleepiness: vibromassage chair cover and peppermint essential oil against the background of chronic sleep deprivation.
Eighteen healthy subjects with partial sleep deprivation participated in the study. Facial videotape, electroencephalogram (EEG), electrocardiogram (ECG) and cutaneous galvanic response (CGR) were recorded. Subjects were tested for sleepiness, general well-being, and reaction time.
Based on the test results, the subjects were in a state of chronic sleep deprivation and chronic stress. On average, they made 2.2 (0 to 7) errors per experiment. About 20% of the subjects’ errors were estimated to be caused by distraction rather than by falling asleep. Conclusions were drawn about the dependence of the level of attention and sleepiness on several factors, and the need for further research. Based on the experimental data, a list of recommendations for the design of driver condition monitoring systems was developed.

Авторлар туралы

Olga Tkachenko

Institute of Higher Nervous Activity and Neurophysiology, RAS

Хат алмасуға жауапты Автор.
Email: tkachenkoon@gmail.com
Ресей, 5A Butlerov Str., Moscow, 117485, Russia

Vladimir Dorokhov

Institute of Higher Nervous Activity and Neurophysiology, RAS

Email: vbdorokhov@mail.ru

Professor

Ресей, 5A Butlerov Str., Moscow, 117485, Russia

Valeriy Dementienko

Institute of Higher Nervous Activity and Neurophysiology, RAS

Email: v.dementienko@neurocom.ru
Ресей, 5A Butlerov Str., Moscow, 117485, Russia

Eugenia Gandina

Institute of Higher Nervous Activity and Neurophysiology, RAS

Email: gandina.e@ihna.ru
Ресей, 5A Butlerov Str., Moscow, 117485, Russia

Gleb Arsenyev

Institute of Higher Nervous Activity and Neurophysiology, RAS

Email: Byron100z@gmail.com
Ресей, 5A Butlerov Str., Moscow, 117485, Russia

Anton Taranov

Institute of Higher Nervous Activity and Neurophysiology, RAS

Email: psy.msu.ru@gmail.com
Ресей, 5A Butlerov Str., Moscow, 117485, Russia

Alexandra Puchkova

Institute of Higher Nervous Activity and Neurophysiology, RAS

Email: puchkovaan@gmail.com
Ресей, 5A Butlerov Str., Moscow, 117485, Russia

Dmitry Sveshnikov

Medical Institute, RUDN University

Email: sveshnikov_ds@rudn.university
Ресей, 8 Miklukho-Maklaya Str., Moscow, 117198, Russia

Әдебиет тізімі

  1. WHO: Road traffic injuries, 13.12.2023. (https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries).
  2. A. Morgan, F.L. Mannering Accid. Anal. Prev., 2011, 43(5), 1852. doi: 10.1016/j.aap.2011.04.024.
  3. J. Weng, Q. Meng Saf. Sci., 2012, 50(4), 1034. doi: 10.1016/j.ssci.2011.12.005.
  4. K. Yanushkevich RBC. Trends. Society. Study: the Average Sleep Durationof Russians Was 6.83 Hours [RBK. Trendy. Obshchestvo.Issledovaniye: srednyaya prodolzhitelnost sna rossiyan sostavila6.83 chasa], 27.08.2021 (in Russian). (trends.rbc.ru/trends/social/6128ba189a79477d3d16f1f7).
  5. B.C. Tefft Sleep, 2018, 41(10), zsy144. doi: 10.1093/sleep/zsy144.
  6. F.V. Razvadauskas Euromonitor International. Top Three Automotive and Mobility Trends in 2023. (https://www.euromonitor.com/article/top-three-automotive-and-mobility-trends-in-2023).
  7. O.N. Tkachenko, V.B. Dorohov, V.V. Dementienko, E.O. Gandina, G.N. Arsenyev, A.O. Taranov, D.R. Bakirova, D.S. Sveshnikov Environment and Human: Ecological Studies [Socialno-ekologicheskie tekhnologii], 2022, 12(1), 62 (in Russian). doi: 10.31862/2500-2961-2022-12-1-62-80.
  8. Т. Vogelpohl, М. Kühn, Т. Hummel, М. Vollrath Accid. Anal. Prev., 2018, 126, 70. doi: 10.1016/j.aap.2018.03.013.
  9. D.M. Raizen, J. Mullington, C. Anaclet, G. Clarke et al. Sleep, 2023, 46(9), zsad069. doi: 10.1093/sleep/zsad069.
  10. O.N. Tkachenko, V.B. Dorohov, V.V. Dementienko Environment and Human: Ecological Studies [Socialno-ekologicheskie tekhnologii], 2020, 10(4), 482 (in Russian). doi: 10.31862/2500-2961-2020-10-4-482-509
  11. A. Telpaz, B. Rhindress, I. Zelman, O. Tsimhoni In Proc. 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (UK, Nottingham, 1-3 September, 2015), US, NY, New York, Publ. Association for Computing Machinery, 2015, pp. 23–30. doi: 10.1145/2799250.2799267.
  12. M. Mahachandra, Yassierli, E.D. Garnaby Procedia Manuf., 2015, 4, 471. doi: 10.1016/j.promfg.2015.11.064.
  13. S. Scarpelli, V. Alfonsi, M. Gorgoni, M. Camaioni, A.M. Giannini, L. de Gennaro Brain Sci., 2021, 11. doi: 10.3390/brainsci11081090.
  14. Neurocom. Solutions and Products. Systems of Professional Psychophysiological Examination. Universal Psychodiagnostic Complex UPDC-MK [Neyrokom. Resheniya i produktsia. Sistemy professionalnogo psikhofiziologicheskogo obsledovaniya. Universalny psikhodiagnostichesky kompleks UPDK-MK] (in Russian). (https://neurocom.ru/products/professional-systems/updk-mk/).
  15. I. Stancin, M. Cifrek, A. Jovic Sensors, 2021, 21(11), 3786. doi: 10.3390/s21113786.
  16. N.B. Powell, J.K. Chau Med. Clin. North Am., 2010, 94(3), 531. doi: 10.1016/j.mcna.2010.02.002.
  17. J. Vicente, P. Laguna, A. Bartra, R. Bailon Med. Biol. Eng. Comput., 2016, 54(6), 927. doi: 10.1007/s11517-015-1448-7.
  18. Z. Shiner, S. Akselrod, Y. Dagan, A. Baharav Auton. Neurosci., 2006, 130(1-2), 17. doi: 10.1016/j.autneu.2006.04.006.
  19. L.I. Aftanas, S.A. Golocheikine Neurosci. Lett., 2001, 310(1), 57. doi: 10.1016/s0304-3940(01)02094-8.
  20. J.F. Cavanagh, M.J. Frank Trends Cogn. Sci., 2014, 18(8), 414. doi: 10.1016/j.tics.2014.04.012.

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© Tkachenko O.N., Dorokhov V.B., Dementienko V.V., Gandina E.O., Arsenyev G.N., Taranov A.O., Puchkova A.N., Sveshnikov D.S., 2024

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