GingerVR: An Open Source Repository of Cybersickness Reduction Techniques for Unity
Abstract
Virtual reality (VR) technology faces a major road block in the form of cybersickness. Cybersickness describes the collection of negative symptoms sometimes experienced while immersed in virtual environments, such as disorientation, nausea, and fatigue. Many techniques exist to reduce cybersickness, for example, reducing the user’s field of view, or dynamically blurring the user’s vision. But to utilize these techniques, researchers may need to develop them from scratch. To remedy this, we implemented several previously reported reduction techniques in Unity, packaged them in an open source repository, and created tutorials for ease of integration. These techniques are now simple to add, and require no dependencies outside of what comes with a default Unity project. We intend to create an outlet for researchers to submit new techniques as they are developed. GingerVR can help to lessen the work load for developers, and researchers looking to further evaluate these cybersickness reduction techniques.
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The SingleNose option, which uses an artificial nose in peripheral vision, is likely to reduce the severity of cybersickness.
“As proven by the current literature, this implementation is likely to reduce the severity of cybersickness owing to a natural visual disturbance related to the positioning of one’s nose [100].”
From SAFEvR MentalVeRse.app: Development of a Free Immersive Virtual Reality Exposure Therapy for Acrophobia and Claustrophobia (2024) · cites this paper as [100]
Cites
A discussion of cybersickness in virtual environments
LaViola, J. J. (2000) · ACM SIGCHI Bulletin · doi:10.1145/333329.333344 · Cited by 1,426 · see citing works
Review on cybersickness in applications and visual displays
Rebenitsch, L., & Owen, C. (2016) · Virtual Reality · doi:10.1007/s10055-016-0285-9 · Cited by 971 · see citing works
An ecological Theory of Motion Sickness and Postural Instability
Riccio, G. E., & Stoffregen, T. A. (1991) · Ecological Psychology · doi:10.1207/s15326969eco0303_2 · Cited by 761 · see citing works
Combating VR sickness through subtle dynamic field-of-view modification
Fernandes, A. S., & Feiner, S. (2016) · IEEE Symposium on 3D User Interfaces (3DUI) · doi:10.1109/3dui.2016.7460053 · Cited by 540 · see citing works
Efficacy of ginger for nausea and vomiting: a systematic review of randomized clinical trials
Ernst, E., & Pittler, M. H. (2000) · British Journal of Anaesthesia · doi:10.1093/oxfordjournals.bja.a013442 · Cited by 462 · see citing works
Point & Teleport Locomotion Technique for Virtual Reality
Bozgeyikli, E., Raij, A. B., Katkoori, S., & Dubey, R. V. (2016) · Annual Symposium on Computer-Human Interaction in Play · doi:10.1145/2967934.2968105 · Cited by 459 · see citing works
Effectiveness of virtual reality exposure in the treatment of arachnophobia using 3D games
Bouchard, S., Côté, S., St-Jacques, J., Robillard, G., & Renaud, P. (2006) · Technology and Health Care · doi:10.3233/thc-2006-14103 · Cited by 156 · see citing works
Postural stability predicts the likelihood of cybersickness in active HMD-based virtual reality
Arcioni, B., Palmisano, S. A., Apthorp, D., & Kim, J. (2018) · Displays · doi:10.1016/j.displa.2018.07.001 · Cited by 134 · see citing works
Influence of bone-conducted vibration on simulator sickness in virtual reality
Weech, S., Moon, J., & Troje, N. F. (2018) · PLoS ONE · doi:10.1371/journal.pone.0194137 · Cited by 114 · see citing works
Evaluating the effects of four VR locomotion methods
Coomer, N., Bullard, S., Clinton, W., & Williams, B. (2018) · ACM Symposium on Applied Perception · doi:10.1145/3225153.3225175 · Cited by 106 · see citing works
Comparing HMD-Based and Paper-Based Training
Werrlich, S., Daniel, A.-D., Ginger, A., Nguyen, P.-A., & Notni, G. (2018) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar.2018.00046 · Cited by 85 · see citing works
The role of rest frames in vection, presence and motion sickness
Prothero, J. D., & Furness, T. A. (1998) · Cumulative Index of Computer Aided Architectural Design · Cited by 82 · see citing works
New VR Navigation Techniques to Reduce Cybersickness
Kemeny, A. A., George, P., Merienne, F., & Colombet, F. (2017) · Electronic Imaging · doi:10.2352/issn.2470-1173.2017.3.ervr-097 · Cited by 81 · see citing works
Nie, G.-Y., Duh, H. B., Liu, Y., & Wang, Y. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2893668 · Cited by 74 · see citing works
Budhiraja, P., Miller, M. R., Modi, A. K., et al. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1710.02599 · Cited by 69 · see citing works
A Virtual Nose as a Rest-Frame - The Impact on Simulator Sickness and Game Experience
Wienrich, C., Weidner, C. K., Schatto, C., Obremski, D., & Israel, J. H. (2018) · International Conference on Virtual Worlds and Games for Serious Applications (VS-Games) · doi:10.1109/vs-games.2018.8493408 · Cited by 69 · see citing works
Viewpoint Snapping to Reduce Cybersickness in Virtual Reality
Farmani, Y., & Teather, R. J. (2018) · Canada Human-Computer Communications Society · doi:10.20380/gi2018.23 · Cited by 64 · see citing works
Reducing VR Sickness Through Peripheral Visual Effects
Buhler, H., Misztal, S., & Schild, J. (2018) · IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr.2018.8446346 · Cited by 59 · see citing works
Ramps are better than stairs to reduce cybersickness in applications based on a HMD and a Gamepad
Dorado, J., & Figueroa, P. (2014) · IEEE Symposium on 3D User Interfaces (3DUI) · doi:10.1109/3dui.2014.6798841 · Cited by 40 · see citing works
Simulated Reference Frame: A Cost-Effective Solution to Improve Spatial Orientation in VR
Nguyen-Vo, T., Riecke, B. E., & Stuerzlinger, W. (2018) · IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr.2018.8446383 · Cited by 28 · see citing works
Methods to reduce cybersickness and enhance presence for in-place navigation techniques
Dorado, J., & Figueroa, P. (2015) · IEEE Symposium on 3D User Interfaces (3DUI) · doi:10.1109/3dui.2015.7131742 · Cited by 14 · see citing works
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Gaina, M.-A., Sbarcea, S.-V., Popa, B.-S., Stefanescu, B.-V., Gaina, A.-M., Szalontay, A.-S., Bolos, A., & Stefanescu, C. (2024) · Brain Sciences · doi:10.3390/brainsci14070651 · Cited by 8 · see citing works
“…collect feedback, and adapt protocols based on responses [97–99] Cybersickness mitigation DotEffect Prefab and Singlenose from GingerVr integration [100] Data security User data and interactions within the iVR environment must be secured [97] Visual height intolerance questionnaire (quantitative…”
BackgroundMethod
- Authors
- Ang, S., & Quarles, J.
- Affiliations
- The University of Texas at San Antonio (US)
- Venue
- 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
- Publisher
- IEEE
- Published
- 2020-03
- Pages
- 460-463
- OpenAlex
- W3024922919
- Cited by
- 32
- References
- 21
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 6 · 2023: 3 · 2022: 4 · 2021: 9 · 2020: 1
- FWCI
- 3.10
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Physical Sciences › Engineering › Media Technology › Advanced Optical Imaging Technologies
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- cybersickness, virtual reality, unity, open source software, field of view reduction, nausea, disorientation
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