ArticleExperimental brain research2018
Predicting vection and visually induced motion sickness based on spontaneous postural activity.
Article in Experimental brain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A digital intervention using virtual reality helmets to reduce dental anxiety of children under local anesthesia and primary teeth extraction: A randomized clinical trial.Brain and behavior · 2022Trial
- Individual-difference factors in visually induced motion sickness and vection: Findings from multiple studies on field dependence, age, and biological sex.Journal of vestibular research : equilibrium & orientation · 2026Article
- The effect of gain adaptation on perception and posture.Scientific reports · 2025Article
- Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability.Brain informatics · 2023Article
- Detection of unrecognized spatial disorientation: A theoretical perspective.Technology and health care : official journal of the European Society for Engineering and Medicine · 2022Review
- Effects of stereopsis on vection, presence and cybersickness in head-mounted display (HMD) virtual reality.Scientific reports · 2021Article
- Idiosyncratic multisensory reweighting as the common cause for motion sickness susceptibility and adaptation to postural perturbation.PloS one · 2021Article
- Protean Kinematics: A Blended Model of VR Physics.Frontiers in psychology · 2021Review
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- Different Head-Sway Responses to Optic Flow in Sitting and Standing With a Head-Mounted Display.Frontiers in psychology · 2020Article
- Perceptual Validation of Nonlinear Postural Predictors of Visually Induced Motion Sickness.Frontiers in psychology · 2020Article
- Estimating the sensorimotor components of cybersickness.Journal of neurophysiology · 2018Article
- Article
- Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence is mounting that differences in postural instability can be used to predict who will experience strong illusory self-motions (vection) and become sick when exposed to global patterns of optical flow (e.g., Apthorp et al., PLoS One 9(12):e113897, 2014; Stoffregen and Smart, Brain Res Bull 47:437-448, 1998). This study compared the predictive ability of traditional and recurrence quantification analysis (RQA) based measures of postural activity. We initially measured spontaneous fluctuations in the centre of foot pressure (CoP) of our subjects as they stood quietly with their eyes open and closed. They were then repeatedly exposed to two different types of self-motion display. As expected, the oscillating self-motion displays were found to induce stronger vection and greater sickness than the smooth self-motion displays. RQA based measures of spontaneous postural activity proved to be superior predictors of both vection strength and visually induced motion sickness (VIMS). Participants who had displayed lower CoP recurrence rates when standing quietly were more likely to later report stronger vection and VIMS when exposed to both types of optical flow. Vection strength (but not VIMS) was also found to correlate significantly with three other RQA based measures of postural activity (determinism, entropy, and average diagonal line length). We propose that these RQA based measures of spontaneous postural activity could serve as useful diagnostic tools for evaluating who will benefit the most/least from exposure to virtual environments.
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