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Perceptual Validation of Nonlinear Postural Predictors of Visually Induced Motion Sickness

机译:视觉诱导晕车的非线性姿势预测因子的感知验证

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Virtual reality (VR) technology has become increasingly prevalent in our society and has been used for a myriad of applications ranging from psychotherapy to training members of the military. However, one issue that arises from the use of VR is motion sickness, thus making predictors and indicators of motion sickness desirable. To date, a number of indicators of motion sickness have been derived based on nonlinear characteristics of human motion recorded using motion capture systems. While it is known that nonlinear measures can be used to predict motion sickness, it is not known whether people are perceptually sensitive to these particular nonlinear parameters. The aims of this study included establishing whether individuals consistently sort phase plots of sick and well individuals’ postural motion without being explicitly told to do so; determining what nonlinear movement parameters could be used to represent these judgments; and assessing the stability of nonlinear measures found to be successful at predicting motion sickness by Smart et al. (2014) . Through two methods of analysis (perceptual and quantitative), this research demonstrated that participants can indeed sort the graphic depictions of sick and well participants’ postural motion and seem to be perceptually sensitive to nonlinear parameters (normalized path length, path length, elliptical area) that are known to be predictive of motion sickness.
机译:虚拟现实(VR)技术在我们的社会中越来越普遍,已用于无数申请,从心理治疗到培训军队的培训。但是,从使用VR时出现的一个问题是运动疾病,从而使预测的因素和晕厥指标可取。迄今为止,基于使用运动捕获系统记录的人类运动的非线性特征来推导出许多晕厥指标。虽然已知非线性措施可用于预测运动疾病,但不知道人是否对这些特定的非线性参数感染敏感。本研究的目的包括建立个人是否始终如一地分离病人和井中的姿势议案的阶段地块,而不明确地告诉这样做;确定可用于代表这些判断的非线性运动参数;并评估发现非线性措施的稳定性,以通过Smart等人预测晕车疾病。 (2014)。通过两种分析方法(感知和定量),这项研究表明,参与者可以确定对病人和参与者的姿势运动的图形描绘,似乎对非线性参数(归一化路径长度,路径长度,椭圆形区域)感到敏感已知是预测运动疾病的预测。

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