Using quantitative data on postural activity to develop methods to predict and prevent cybersickness

Abstract

In this article, we discuss general approaches to the design of interventions that are intended to overcome the problem of cybersickness among users of head-mounted display (HMD) systems. We note that existing approaches have had limited success, and we suggest that this may be due, in part, to the traditional focus on the design of HMD hardware and content. As an alternative, we argue that cybersickness may have its origins in the user’s ability (or inability) to stabilize their own bodies during HMD use. We argue that HMD systems often promote unstable postural control, and that existing approaches to cybersickness intervention are not likely to promote improved stability. We argue that successful cybersickness interventions will be designed to promote stability in the control of the body during HMD use. Our approach motivates new types of interventions; we describe several possible directions for the development of such interventions. We conclude with a discussion of new research that will be required to permit our approach to lead to interventions that can be implemented by HMD designers.

Predicting VR cybersickness and its impact on visuomotor performance using head rotations and field (in)dependence

“…However, the multiple in virtuo measures of the FMSS lead to multiple breaks in presence (Slater et al, 2003), and might be considered as leading to nonecological VR experience. In order to overcome the limitations of the subjective methods, physiological, postural and behavioral measures along with classifications and other machine learning methods have been used to measure and predict cybersickness in VR (Bailey et al, 2022;Hadadi et al, 2022;. In these cases, subjective measures like the SSQ are used as regressors that physiological variables will try to predict, which is not without problems given the limitations of questionnaire bias: it is, for example, suggested that male participants report less cybersickness than female participants in order to appear strong (Rebenitsch and Owen, 2014;.…”