Measuring Reduction Methods for VR Sickness in Virtual Environments

Measuring Reduction Methods for VR Sickness in Virtual Environments

Takurou Magaki (Future University Hakodate, Hakodate, Japan) and Michael Vallance (Future University Hakodate, Hakodate, Japan)
Copyright: © 2017 |Volume: 7 |Issue: 2 |Article: 3 |Pages: 17
ISSN: 1947-8518|EISSN: 1947-8526|DOI: 10.4018/IJVPLE.2017070103
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MLA

Magaki, Takurou and Michael Vallance. "Measuring Reduction Methods for VR Sickness in Virtual Environments." IJVPLE 7.2 (2017): 27-43. Web. 1 Jan. 2019. doi:10.4018/IJVPLE.2017070103

APA

Magaki, T., & Vallance, M. (2017). Measuring Reduction Methods for VR Sickness in Virtual Environments. International Journal of Virtual and Personal Learning Environments (IJVPLE), 7(2), 27-43. doi:10.4018/IJVPLE.2017070103

Chicago

Magaki, Takurou and Michael Vallance. "Measuring Reduction Methods for VR Sickness in Virtual Environments," International Journal of Virtual and Personal Learning Environments (IJVPLE) 7 (2017): 2, accessed (January 01, 2019), doi:10.4018/IJVPLE.2017070103

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Abstract

Recently, virtual reality (VR) technologies have developed remarkably. However, some users have negative symptoms during VR experiences or post-experiences. Consequently, alleviating VR sickness is a major challenge, but an effective reduction method has not yet been discovered. The purpose of this article is to compare and evaluate VR sickness in two virtual environments (VE). Current known methods of reducing VR sickness were implemented. To measure VR sickness a validated simulator sickness questionnaire (SSQ) was undertaken by the subjects (n=21). In addition, subjects wore a customized biological sensor in order to evaluate their physiological data by measuring responses in three kinds of natural states and two kinds of VR experience states. This quantitative data, as objective evaluations according to the biological responses, is analyzed and considered alongside subjective qualitative evaluations according to the SSQ. The outcomes and limitations of the reduction methods and data collection are discussed.

References

Ames S. L. Wolffsohn J. S. McBrien N. A. (2005). The development of a symptom questionnaire for assessing virtual reality viewing using a head-mounted display. Optometry and Vision Science: Official Publication of the American Academy of Optometry, 82(3), 168–176. 10.1097/01.OPX.0000156307.95086.615767873
Davis S. Nesbitt K. Nalivaiko E. (2014). A Systematic Review of Cybersickness. In Proceedings of the 2014 Conference on Interactive Entertainment, Newcastle, NSW, Australia, December 02 - 03 (pp. 1-9).
Fernandes, A. S., & Feiner, S. K. (2016). Combating VR sickness through subtle dynamic field-of-view modification. In IEEE Symposium on 3D User Interfaces (3DUI) (pp. 201-210). doi:10.1109/3DUI.2016.7460053
Ge, Z., Prasad, P. W. C., Costadopoulos, N., Alsadoon, A., Singh, A. K., & Elchouemi, A. (2016). Evaluating the accuracy of wearable heart rate monitors. In 2nd International Conference on Advances in Computing, Communication, & Automation (ICACCA), Bareilly, India, 30 Sept.-1 Oct. doi:10.1109/ICACCAF.2016.7748986
Kennedy R. S. Lane N. E. Berbaum K. S. Lilienthal M. G. (1993). Simulator sickness questionnaire: an enhanced method for quantifying simulator sickness. The International Journal of Aviation Psychology, 3(3), 203–220. 10.1207/s15327108ijap0303_3
Miller J. C. Sharkey T. J. Graham G. A. McCauley M. E. (1993). Autonomic Physiological Data Associated with Simulator Discomfort. Aviation, Space, and Environmental Medicine, 817–819.8216142
Muth E. R. Stern R. M. Thayer J. F. Koch K. L. (1996). Assessment of the multiple dimensions of nausea: The Nausea Profile (NP). Journal of Psychosomatic Research, 40(5), 511–520. 10.1016/0022-3999(95)00638-98803860
Nakagawa, C. (2008). Seirihannou wo motiita douyoubyou no hyouka ni kansuru kenkyuu [Doctoral dissertation]. (in Japanese) Retrieved from https://ndlonline.ndl.go.jp/#!/detail/R300000001-I000009361095-00
Ogawa M. Seno T. (2016). Colorful stimuli might inhibit vection. Transactions of the Virtual Reality Society of Japan, 21(1), 31–33.
Rettner, R. (2017). How Accurate Are Fitness Tracker Heart Rate Monitors? LIVESCIENCE. Retrieved from https://www.livescience.com/56459-fitness-tracker-heart-rate-monitors-accuracy.html
Seno T. Suzuki H. (2017). Vection toha nanda!?Tokyo, Japan: Kyoritsu Shuppan. (in Japanese)
Tachi S. Sato M. Hirose M. (2011). Virtual Reality Studies. Tokyo, Japan: Coronasha. (in Japanese)
Tambovtsev, D., Floksy, N., & Peshé, O. (2016). How to Avoid the Effect of Motion Sickness in VR. VRScout. Retrieved from https://vrscout.com/news/avoid-motion-sickness-developing-for-vr/
Whittinghill, D., Ziegler, B., Case, T., & Moore, B. (2015). Nasum virtualis: A simple technique for reducing simulator sickness. Purdue. Retrieved from http://www.purdue.edu/newsroom/releases/2015/Q1/virtual-nose-may-reduce-simulator-sickness-in-video-games.html

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