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VR in Education: Ergonomic Features and Cybersickness

  • Olha PinchukEmail author
  • Oleksandr Burov
  • Svitlana Ahadzhanova
  • Victoriya Logvinenko
  • Yana Dolgikh
  • Tetyana Kharchenko
  • Olena Hlazunova
  • Andrii Shabalin
Conference paper
  • 7 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1211)

Abstract

This paper describes theory (systemic structural model) of learning activity in the virtual reality, as well as demonstrates (on experimental data) in psychophysiological regulation of the cognitive activity in VR. Understanding of these changes can be used for learning improvement using VR environment regards the interrelationship between the structure and self-regulation of learning activity, avoiding potential cybersickness.

Keywords

Ergonomics Virtual reality Cybersickness Education 

Notes

Acknowledgments

This research has been supported by the Institute of Information Technologies of the National Academy of Pedagogic Science.

References

  1. 1.
    Pinchuk, O., Lyvynova, S., Burov, O.: Synthetic educational environment – a footpace to new education. Informacijni tekhnologhiji i zasoby navchannja: elektronne naukove fakhove vydannja. 60(4), 28–45 (2017)Google Scholar
  2. 2.
    Burov, O.: Virtual life and activity: new challenges for human factors/ergonomics. In: Symposium Beyond Time and Space STO-MP-HFM-231, STO NATO 2014, pp. 8-1–8-8 (2014)Google Scholar
  3. 3.
    Burov O.: Human factors/ergonomics in eWorld: methodology, techniques and applications. In: Karwowski, W. et al. (eds.): AHFE 2019. AISC, vol. 971, pp. 459–466 (2019).  https://doi.org/10.1007/978-3-030-20135-7_26
  4. 4.
    Lavrov, E., Lavrova, O.: Intelligent adaptation method for human-machine interaction in modular E-learning systems. In: Proceedings of the 15th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume II: Workshops, Kherson, Ukraine, 12–15 June 2019, pp. 1000–1010 (2019)Google Scholar
  5. 5.
    Mulder, L.J.M., Van Roon, A., Veldman, H., Laumann, K., Burov, A., Quispel, L., Hoogeboom, P.J.: How to use cardiovascular state changes in adaptive automation. In: Hockey, G.R.J., Gaillard, A.W.K., Burov, O. (eds.) Operator Functional State. The Assessment and Prediction of Human Performance Degradation in Complex Tasks. NATO Science Series, pp. 260–272. IOS Press, Amsterdam (2004)Google Scholar
  6. 6.
    Lytvynova, S., Melnyk, O.: Professional development of teachers using cloud services during non-formal education. In: Proceedings of the 12th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer ICTERI 2016, Kyiv, Ukraine, 21–24 June 2016, vol 1614, pp. 648–655 (2016). CEUR-WS.org. http://ceur-ws.org/Vol-1614/paper_51.pdf
  7. 7.
    Bedny, G.Z., Karwowski, W.: A systemic-structural activity approach to the design of human-computer interaction tasks. Int. J. Hum.-Comput. Interact. 16(2), 235–260 (2003)CrossRefGoogle Scholar
  8. 8.
    Burov, O.: Life-long learning: individual abilities versus environment and means. In: Proceedings of the 12th International Conference Harmonization and Knowledge Transfer ICTERI 2016, Kyiv, Ukraine, 21–24 June 2016, vol. 1614, pp. 608–619 (2016). CEUR-WS.org. http://ceur-ws.org/Vol-1614/paper_86.pdf
  9. 9.
    Morze, N.V., Glazunova, O.G.: Design of electronic learning courses for IT students considering the dominant learning style. In: International Conference on Information and Communication Technologies in Education, Research, and Industrial Applications, pp. 261–273. Springer, Cham (2014)Google Scholar
  10. 10.
    LaViola Jr., J.J.: A discussion of cybersickness in virtual environments. ACM SIGCHI Bull. 32, 47–56 (2000).  https://doi.org/10.1145/333329.333344. CiteSeerX 10.1.1.544.8306CrossRefGoogle Scholar
  11. 11.
    Burov, O., Tsarik, O.: Educational workload and its psychophysiological impact on student organism. Work. 41(Suppl. 1), 896–899 (2012)Google Scholar
  12. 12.
    Varus, V.I. et al.: Method of determining resistance of military personnel: pat. 17500 MPK, Ukraine GO1N33/50. 200606000 (2006). Appl. 31.05.06; publ. 15.09.06, Bul. 9Google Scholar
  13. 13.
    Pinchuk O., Burov O., Lytvynova, S.: Learning as a systemic activity. In: Karwowski, W., Ahram, T., Nazir, S. (eds.) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2019. Advances in Intelligent Systems and Computing 2019, vol 963, pp. 335–342. Springer, Cham (2019).  https://doi.org/10.1007/978-3-030-20135-7_33
  14. 14.
    Stanney, K.M., Kennedy, R.S., Drexler, J.M.: Cybersickness is not simulator sickness. Proc. Hum. Factors Ergon. Soc. Ann. Meeting 41(2), 1138–1142 (1997).  https://doi.org/10.1177/107118139704100292CrossRefGoogle Scholar
  15. 15.
    Kolasinski, E.M.: Simulator sickness in virtual environments (ARI 1027). U.S. Army Research Institute for the Behavioral and Social Sciences. www.dtic.mil. Accessed 22 July 2017
  16. 16.
    Kemeny, A., George, P., Mérienne, F., Colombet, F.: New VR navigation techniques to reduce cybersickness. Electron. Imaging 2017(3), 48–53 (2017).  https://doi.org/10.2352/issn.2470-1173.2017.3.ervr-097CrossRefGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Olha Pinchuk
    • 1
    Email author
  • Oleksandr Burov
    • 1
  • Svitlana Ahadzhanova
    • 2
  • Victoriya Logvinenko
    • 2
  • Yana Dolgikh
    • 2
  • Tetyana Kharchenko
    • 2
  • Olena Hlazunova
    • 3
  • Andrii Shabalin
    • 4
  1. 1.Institute of Information Technologies and Learning Tools, UkraineKyivUkraine
  2. 2.Sumy National Agrarian UniversitySumyUkraine
  3. 3.National University of Life and Environmental Sciences of UkraineKyivUkraine
  4. 4.Scientific Research Institute of Intellectual PropertyKyivUkraine

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