Abstract
VR sickness is a symptom that similar to motion sickness such as strong discomfort, nausea, dizziness, and headache, and 3D sickness when using VR. As VR becomes more and more widely used, the accompanying VR sickness also needs to be paid attention to. This research is based on the previous development of the virtual horizontal frame. On the basis of confirming that the virtual horizontal frame has a good effect on VR sickness, we will further study the effect of restricting part of the field of view. The effect was visualized by using SSQ (Simulator Sickness Questionnaire) to see the degree of sickness. Through experiments, it was found that different visual field limitations can alleviate various symptoms to different degrees. We can also formulate different visual specialization strategies according to different results of each SSQ questionnaire.
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References
Nobuhisa, T.: A survey of countermeasure design for virtual reality sickness. Trans. Virtual Real. Soc. Jpn. 10(1), 129–138 (2005)
Nobuhisa, T., Takagi, H.: Design system of virtual reality environment based on VR presence and VR sickness. Trans. Virtual Real. Soc. Jpn. 11(2), 301–312 (2006)
Reason, J.T., Brand, J.J.: Motion Sickness. Academic Press Inc. (1975)
Money, K.E.: Motion sickness. Am. Physiol. Soc. 50(1), 1–39 (1970)
Kitagawa, E., Tanaka, S., Abiko, S., Tsukada, Y., Shiomi, K.: Method for reducing kinetosis using viewing mobile media in moving vehicles. J. Inst. Image Inf. Telev. Eng. 67(11), J388–J399 (2013)
Sawada, Y., Itaguchi, Y., Hayashi, M., et al.: Effects of synchronized engine sound and vibration presentation on visually induced motion sickness. Sci. Rep. 10, 7553 (2020)
Hatada, T. (Tokyo institute of Polytechnics): Measurement of information receiving and visual field. Jpn. J. Ergon. 29, 86–88 (1993)
Kishishita, N., Orlosky, J., Kiyokawa, K., Mashita, T., Takemura, H.: Investigation on the peripheral visual field for information display with wide-view see-through HMDs. Trans. Virtual Real. Soc. Jpn. 19(2), 121–130 (2014)
Ryu, J., Hashimoto, N., Sato, M.: Analysis of vection using body sway in immersive virtual environment. Technical report of IEICE (Multimed. Virtual Environ. 103, 63–68) (2003)
Graybiel, A., Lackner, J.R.: Evaluation of the relationship between motion sickness symptomatology and blood pressure, heart rate, and body temperature. Aviat. Space Environ. Med. 51, 211–214 (1980)
Seraglia, B., Gamberini, L., Priftis, K., Scatturin, P., Martinelli, M., Cutini, S.: An exploratory fNIRS study with immersive virtual reality: a new method for technical implementation. Front. Hum. Neurosci. 5, 176 (2011)
Ujike, H.: Visually induced motion sickness. J. Inst. Image Inf. Telev. Eng. 61(8), 1124 (2007)
Kennedy, R.S., Lane, N.E., Berbaum, K.S.: Simulator sickness questionnaire: an enhanced method for quantifying simulator sickness. Int. J. Aviat. Psychol. 3, 203–220 (1993)
Shimadzu: Functional brain imaging (fNIRS). https://www.an.shimadzu.co.jp/apl/lifescience/invivo.html. Accessed 24 Oct 2020
Hirayama, K., Watanuki, K., Kaede, K.: Brain activation analysis of voluntary movement and passive movement using near-infrared spectroscopy. Trans. Jpn. Soc. Mech. Eng. Ser. C 78(795), 3803–3811
Shani-Feinstein, Y., Kyung, E.J., Goldenberg, J.: Moving, fast or slow: how perceived speed influences mental representation and decision making. J. Consum. Res. (2022)
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Huang, H. (2023). Develop a Horizontal Virtual Frame by Adding Field of View Restrictions to Reduce VR Sickness. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. SNPD 2022. Studies in Computational Intelligence, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-031-19604-1_2
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DOI: https://doi.org/10.1007/978-3-031-19604-1_2
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