Factors Associated With Virtual Reality Sickness in Head-Mounted Displays: A Systematic Review and Meta-Analysis

Dimitrios Saredakis, Ancret Szpak, Brandon Birckhead, Hannah A D Keage, Albert Rizzo, Tobias Loetscher, Dimitrios Saredakis, Ancret Szpak, Brandon Birckhead, Hannah A D Keage, Albert Rizzo, Tobias Loetscher

Abstract

The use of head-mounted displays (HMD) for virtual reality (VR) application-based purposes including therapy, rehabilitation, and training is increasing. Despite advancements in VR technologies, many users still experience sickness symptoms. VR sickness may be influenced by technological differences within HMDs such as resolution and refresh rate, however, VR content also plays a significant role. The primary objective of this systematic review and meta-analysis was to examine the literature on HMDs that report Simulator Sickness Questionnaire (SSQ) scores to determine the impact of content. User factors associated with VR sickness were also examined. A systematic search was conducted according to PRISMA guidelines. Fifty-five articles met inclusion criteria, representing 3,016 participants (mean age range 19.5-80; 41% female). Findings show gaming content recorded the highest total SSQ mean 34.26 (95%CI 29.57-38.95). VR sickness profiles were also influenced by visual stimulation, locomotion and exposure times. Older samples (mean age ≥35 years) scored significantly lower total SSQ means than younger samples, however, these findings are based on a small evidence base as a limited number of studies included older users. No sex differences were found. Across all types of content, the pooled total SSQ mean was relatively high 28.00 (95%CI 24.66-31.35) compared with recommended SSQ cut-off scores. These findings are of relevance for informing future research and the application of VR in different contexts.

Keywords: cybersickness; head-mounted display; simulator sickness; virtual environment; virtual reality.

Copyright © 2020 Saredakis, Szpak, Birckhead, Keage, Rizzo and Loetscher.

Figures

Figure 1
Figure 1
The article selection and screening process using the PRISMA flow diagram (Liberati et al., 2009).
Figure 2
Figure 2
Content characteristics and participant's sickness response. Emoticons indicate participant level of discomfort according to total Simulator Sickness Questionnaire (SSQ) scores averaged across all studies.
Figure 3
Figure 3
VR sickness symptoms across the different SSQ subscales of all measured factors including (A) Visual Stimulation, (B) Time, (C) VR Sickness Condition, (D) Locomotion, (E) Age, and (F) Content. SSQ, Simulator Sickness Questionnaire; Error bars represent standard error.

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Source: PubMed

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