Virtual reality (VR) is known to cause cybersickness, and studies report that deteriorations of postural stability coincides with the onset cybersickness. It is unclear whether these deteriorations are the cause or a consequence of cybersickness. Thus, it is also unclear whether measures of postural stability may either predict susceptibility (cause) or objectively measure (consequence) the malaise. To examine whether deteriorations of postural stability can either predict or objectively measure cybersickness, healthy active adults (n = 50) were exposed to one of two different 10 min 360˚ VR videos. Postural stability was assessed, using a force platform, before exposure with eyes open (baseline) and eyes closed, during the first and last minute of exposure, and approximately 10 min after exposure. The deterioration of postural stability from baseline to the first minute of exposure was larger in participants who reported cybersickness, compared to those who did not, for both total trace length (p = 0.017) and standard deviation velocity (p = 0.008). However, there was substantial individual variation and overlap between sick and well participants. Deteriorations of postural stability from baseline to the eyes closed condition did not differ between sick and well participants (trace length, p = 0.270; standard deviation velocity, p = 0.112). There was a significant correlation between the severity of cybersickness and the change of postural stability from the first to the last minute of VR exposure for trace length (r_s=0.32, p = 0.027), but not standard deviation velocity (r_s=0.20, p = 0.187). The deteriorations had returned to baseline levels 10 min after exposure. These findings suggest that deteriorations of postural stability was both a predictor and objective measure at a group level. However, the large individual variation, substantial overlap between sick and well participants, and the limited strength of correlations suggest that deterioration of postural stability has limited practical value as both a predictor and objective measure. These findings emphasize the complicated nature of the relationship between cybersickness and postural stability.

众所周知，虚拟现实 (VR) 会导致晕车，研究报告称，姿势稳定性的恶化与晕车的发作同时发生。目前尚不清楚这些恶化是网络病的原因还是结果。因此，也不清楚姿势稳定性的测量是否可以预测易感性（原因）或客观测量（结果）不适。为了检查姿势稳定性的恶化是否可以预测或客观测量晕车，健康活跃的成年人（n = 50) 暴露于两个不同的 10 分钟 360˚ VR 视频之一。在睁眼（基线）和闭眼暴露前、暴露的第一分钟和最后一分钟以及暴露后大约 10 分钟，使用力平台评估姿势稳定性。与没有报告晕车病的参与者相比，从基线到接触第一分钟的姿势稳定性恶化程度更大，无论是总轨迹长度 ( p  = 0.017) 还是标准偏差速度 ( p  = 0.008)。然而，生病和健康的参与者之间存在很大的个体差异和重叠。从基线到闭眼状态的姿势稳定性恶化在患病和健康参与者之间没有差异（轨迹长度，p = 0.270; 标准偏差速度，p  = 0.112）。晕车的严重程度与从 VR 暴露的第一分钟到最后一分钟的轨迹长度（rs = 0.32，p = 0.027）_的姿势稳定性变化之间存在显着相关性，但与速度_的 标准偏差无关（rs = 0.20 , p = 0.187)。暴露后 10 分钟，恶化已恢复到基线水平。这些研究结果表明，姿势稳定性的恶化既是群体水平的预测指标，也是客观的衡量标准。然而，较大的个体差异、患病和健康参与者之间的大量重叠以及相关性的有限强度表明，姿势稳定性的恶化作​​为预测和客观测量的实际价值有限。这些发现强调了晕车和姿势稳定性之间关系的复杂性。