Experimental model aimed to study mental fatigue and adaptive function of a daytime nap for restoration of operational capability

1457

Abstract

The problem of operational capability decreased by fatigue is becoming more and more important. To study this psychophysiological phenomenon we have developed a psychomotor test which models the development of mental fatigue in computer operator. Our subjects had to solve arithmetical sums as precisely and as quickly as possible during two working sessions separated by 90-minute rest period. The method allows to track eye-movements of a working subject and to compare the influence of daytime nap and calm wakefulness on the recuperation of operational capability and visual-motor coordination. The results of the study show that mental work causes deterioration of subjective well-being and activity, and any type of rest restores them to the initial level. Daytime nap is more preferable in comparison with the waking state as a kind of rest, because it ensures the maintenance of well-being and activity at a high level in the course of further work. Further development of this method will contribute to the development of contactless operator’s state monitoring system. It will also help to determine individual characteristics of fatigue development while working at the computer and to determine an optimal strategy of operational capability restoration in case of mental fatigue.

General Information

Keywords: daytime sleep, nap, mental fatigue, eye-movements, eye-tracking, operational capability

Journal rubric: Psychophysiology

Article type: scientific article

For citation: Puchkova A.N., Tkachenko O.N., Dorokhov V.B. Experimental model aimed to study mental fatigue and adaptive function of a daytime nap for restoration of operational capability . Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2013. Vol. 6, no. 1, pp. 48–60. (In Russ., аbstr. in Engl.)

References

  1. Бодров В. А. Профессиональное утомление. М.: Наука, 2009.
  2. Дорохов В. Б. Сомнология и безопасность профессиональной деятельности // Журнал высшей нервной деятельности им. И. П. Павлова. 2013. Т. 63. № 1 ( в печати).
  3. Дорохов В. Б., Арсеньев Г. Н., Захарченко Д. В., Лаврова Т. П., Ткаченко О. Н., Дементиенко В. В. Психомоторный тест для исследования зрительно-моторной координации при выполнении монотонной деятельности по прослеживанию цели // Журнал высшей нервной деятельности им. И. П. Павлова. 2011. Т. 61. № 4. С. 1–9.
  4. Achermann P., Werth E., Dijk D., Borbely A. Time course of sleep inertia after nighttime and daytime sleep episodes // Arch Ital Biol. 1995. V. 134. № 1. P. 109–119.
  5. Boksem M. A. S., Meijman T. F., Lorist M. M. Effects of mental fatigue on attention: An ERP study // Cognitive Brain Research. 2005. V. 25. № 1. P. 107–116.
  6. Boksem M. A. S., Tops M. Mental fatigue: Costs and benefits // Brain Research Reviews. 2008. V. 59. № 1. P. 125–139.
  7. Di Stasi L. L., Antoli A., Canas J. J. Main sequence: an index for detecting mental workload variation in complex tasks // Appl Ergon. 2011 a. V. 42. № 6. P. 807–813.
  8. Di Stasi L. L., Antolí A., Cañas J. J. Evaluating mental workload while interacting with computer-generated artificial environments // Entertainment Computing. 2011 b. DOI: 10.1016/j.entcom. 2011.03.005.
  9. Driskell J. E., Mullen B. The Efficacy of Naps as a Fatigue Countermeasure: A Meta-Analytic Integration // Human Factors: The Journal of the Human Factors and Ergonomics Society. 2005. V. 47. № 2. P. 360–377.
  10. Hayashi M., Ito S., Hori T. The effects of a 20-min nap at noon on sleepiness, performance and EEG activity // International Journal of Psychophysiology. 1999 a. V. 32. № 2. P. 173–180.
  11. Hayashi M., Watanabe M., Hori T. The effects of a 20 min nap in the mid-afternoon on mood, performance and EEG activity // Clinical Neurophysiology. 1999 b. V. 110. № 2. P. 272–279.
  12. Hofer-Tinguely G., Achermann P., Landolt H.-P., Regel S. J., Rétey J. V., Dürr R., Borbély A. A., Gottselig J. M. Sleep inertia: performance changes after sleep, rest and active waking // Cognitive Brain Research. 2005. V. 22. № 3. P. 323–331.
  13. Jewett M., Wyatt J., Ritz-De Cecco A., Khalsa S., Dijk D., Czeisler C. Time course of sleep inertia dissipation in human performance and alertness // J Sleep Res. 1999. V. 8. № 1. P. 1–8.
  14. Johns M. A new method for measuring daytime sleepiness: the Epworth sleepiness scale // Sleep. 1991. V. 14. № 6. P. 540–545.
  15. Kato Y., Endo H., Kizuka T. Mental fatigue and impaired response processes: event-related brain potentials in a Go/NoGo task // International Journal of Psychophysiology. 2009. V. 72. № 2. P. 204–211.
  16. Lorist M. M., Boksem M. A. S., Ridderinkhof K. R. Impaired cognitive control and reduced cingulate activity during mental fatigue // Cognitive Brain Research. 2005. V. 24. № 2. P. 199–205.
  17. Lovato N., Lack L. The effects of napping on cognitive functioning // Progress in Brain Research. 2010. V. 185. P. 155–166.
  18. MacLean A. W., Davies D. R. T., Thiele K. The hazards and prevention of driving while sleepy // Sleep Medicine Reviews. 2003. V. 7. № 6. P. 507–521.
  19. Pattyn N., Neyt X., Henderickx D., Soetens E. Psychophysiological investigation of vigilance decrement: Boredom or cognitive fatigue? // Physiology & Behavior. 2008. V. 93. № 1-2. P. 369–378.
  20. Powell N. B., Chau J. K. M. Sleepy Driving // Sleep Medicine Clinics. 2011. V. 6. № 1. P. 117–124.
  21. Schleicher R., Galley N., Briest S., Galley L. Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired? // Ergonomics. 2008. V. 51. № 7. P. 982–1010.
  22. Tassi P., Bonnefond A., Engasser O., Hoeft A., Eschenlauer R., Muzet A. EEG spectral power and cognitive performance during sleep inertia: The effect of normal sleep duration and partial sleep deprivation // Physiology & Behavior. 2006. V. 87. № 1. P. 177–184.
  23. Trejo L., Knuth K., Prado R., Rosipal R., Kubitz K., Kochavi R., Matthews B., Zhang Y. EEG-Based Estimation of Mental Fatigue: Convergent Evidence for a Three-State Model// Foundations of Augmented Cognition / Eds. D. Schmorrow, L. Reeves. Springer Berlin; Heidelberg. 2007. P. 201–211.
  24. Williamson A., Lombardi D. A., Folkard S., Stutts J., Courtney T. K., Connor J. L. The link between fatigue and safety // Accident Analysis & Prevention. 2011. V. 43. № 2. P. 498–515.
  25. Wolfgang K. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis // Brain Research Reviews. 1999. V. 29. № 2-3. P. 169–195.

Information About the Authors

Alexandra N. Puchkova, PhD in Biology, Leading Researcher, Language and Cognition Laboratory, Pushkin State Russian Language Institute, Moscow, Russia, ORCID: https://orcid.org/0000-0002-2292-6475, e-mail: puchkovaan@gmail.com

Olga N. Tkachenko, PhD in Biology, researcher, Laboratory of sleep and wakefulness neurobiology, Institute of Higher Nervous Activity and Neurophysiology of RAS, Protvino, Russia, e-mail: tkachenkoon@gmail.com

Vladimir B. Dorokhov, Doctor of Biology, Head of the Laboratory, Institute of Higher Nervous Activity and Neurophysiology, RAS, Moscow, Russia, e-mail: vbdorokhov@mail.ru

Metrics

Views

Total: 5269
Previous month: 36
Current month: 22

Downloads

Total: 1457
Previous month: 8
Current month: 4