Cybersickness: a Multisensory Integration Perspective

In: Multisensory Research
Maria Gallagher Department of Psychology, Royal Holloway University of London, Egham, UK

Search for other papers by Maria Gallagher in
Current site
Google Scholar
Elisa Raffaella Ferrè Department of Psychology, Royal Holloway University of London, Egham, UK

Search for other papers by Elisa Raffaella Ferrè in
Current site
Google Scholar
Download Citation Get Permissions

Access options

Get access to the full article by using one of the access options below.

Institutional Login

Log in with Open Athens, Shibboleth, or your institutional credentials

Login via Institution


Buy instant access (PDF download and unlimited online access):



In the past decade, there has been a rapid advance in Virtual Reality (VR) technology. Key to the user’s VR experience are multimodal interactions involving all senses. The human brain must integrate real-time vision, hearing, vestibular and proprioceptive inputs to produce the compelling and captivating feeling of immersion in a VR environment. A serious problem with VR is that users may develop symptoms similar to motion sickness, a malady called cybersickness. At present the underlying cause of cybersickness is not yet fully understood. Cybersickness may be due to a discrepancy between the sensory signals which provide information about the body’s orientation and motion: in many VR applications, optic flow elicits an illusory sensation of motion which tells users that they are moving in a certain direction with certain acceleration. However, since users are not actually moving, their proprioceptive and vestibular organs provide no cues of self-motion. These conflicting signals may lead to sensory discrepancies and eventually cybersickness. Here we review the current literature to develop a conceptual scheme for understanding the neural mechanisms of cybersickness. We discuss an approach to cybersickness based on sensory cue integration, focusing on the dynamic re-weighting of visual and vestibular signals for self-motion.

Content Metrics

All Time Past Year Past 30 Days
Abstract Views 5874 1144 140
Full Text Views 902 187 11
PDF Views & Downloads 714 192 17