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<p>When head-mounted display (HMD) users move their heads during virtual reality (VR), display lag will generate <i>differences between their virtual and physical head pose</i> (DVP). Previously, we have shown that objective estimates of DVP can be used to predict the severity of user experiences of cybersickness. Here we examined whether DVP also predicts: (1) the probability of them becoming sick during VR; and (2) the time of their first sickness symptoms. Our participants made continuous nodding head movements while viewing a virtual room under different levels of experimentally imposed display lag (ranging from 0 to 250&#xa0;ms on top of the baseline system lag). While each trial could last up to 3&#xa0;min, they were instructed to drop out as soon as they felt any sickness. We found that: (1) the self-similarity of the participant’s DVP in the first 30&#xa0;s of the trial predicted whether they would become sick (or remain well) later on; and (2) their dropout times were predicted by the spatial magnitudes of their DVP. Consistent with past findings, the severity of their cybersickness was again shown to depend on both the spatial magnitudes and the temporal dynamics of their DVP. In the future, it might therefore be possible to apply these DVP findings to warn HMD users about the likely imminent onset of cybersickness during normal (i.e., non-experimental) VR exposures.</p>

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DVP predicts the probability of becoming sick and dropout times during head mounted display based virtual reality

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月22日

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  • Stephen Palmisano,
  • Shao Yang Chia,
  • Sebastien Miellet,
  • Juno Kim,
  • Robert S. Allison

摘要

When head-mounted display (HMD) users move their heads during virtual reality (VR), display lag will generate differences between their virtual and physical head pose (DVP). Previously, we have shown that objective estimates of DVP can be used to predict the severity of user experiences of cybersickness. Here we examined whether DVP also predicts: (1) the probability of them becoming sick during VR; and (2) the time of their first sickness symptoms. Our participants made continuous nodding head movements while viewing a virtual room under different levels of experimentally imposed display lag (ranging from 0 to 250 ms on top of the baseline system lag). While each trial could last up to 3 min, they were instructed to drop out as soon as they felt any sickness. We found that: (1) the self-similarity of the participant’s DVP in the first 30 s of the trial predicted whether they would become sick (or remain well) later on; and (2) their dropout times were predicted by the spatial magnitudes of their DVP. Consistent with past findings, the severity of their cybersickness was again shown to depend on both the spatial magnitudes and the temporal dynamics of their DVP. In the future, it might therefore be possible to apply these DVP findings to warn HMD users about the likely imminent onset of cybersickness during normal (i.e., non-experimental) VR exposures.