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Volume: 30 | Article ID: art00012
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Analysis of Video Image Based Element for Motion Sickness
  DOI :  10.2352/ISSN.2470-1173.2018.03.ERVR-470  Published OnlineJanuary 2018
Abstract

Prior research [1] has been shown the positive effects of dynamic Field-of-view (FOV) on reducing motion sickness in the linearly moving condition. This work focuses on reducing motion sickness for rotating movements in addition to linear ones. In this work, we also design and test types of masks and traveling methods. Nine types of masks are used along with two traveling methods in three different designed visual scenes. To analyze the effects of masks on reducing motion sickness, the study is divided into preliminary and main experiments. From the preliminary experiments, we identified candidate mask types that could effectively reduce the motion sickness. The main experimental results show that even with the decreased image area per frame with masks, the level of presence remains at the same. Nausea was effectively reduced when a certain mask was applied to a group with high sensitivity to motion sickness.

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Jaephil Lee, Seonyoung Lim, Jeonghyon Ahn, Yongwoo Yi, HyungSeok Kim, "Analysis of Video Image Based Element for Motion Sicknessin Proc. IS&T Int’l. Symp. on Electronic Imaging: The Engineering Reality of Virtual Reality,  2018,  pp 470-1 - 470-6,  https://doi.org/10.2352/ISSN.2470-1173.2018.03.ERVR-470

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Copyright © Society for Imaging Science and Technology 2018
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