Virtual Reality Sickness
A Review of Causes and Measurements
Bibliographic Data
| ID | 23367491 |
|---|---|
| Authors | Eunhee Chang (0000-0001-9348-0602, Korea Institute of Science and Technology), Hyun Taek Kim (0000-0002-4317-5789, Korea University), Byounghyun Yoo (0000-0001-9299-349X, Korea Institute of Science and Technology, corresponding author) |
| Year | 2020 |
| Volume | 36 |
| Issue | 17 |
| Pages | 1658-1682 |
| Publication date | 2020-10-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Human–Computer Interaction (JOURNAL) |
| Journal identifiers | ISSN: 1044-7318 • E-ISSN: 1532-7590 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10447318.2020.1778351 |
| OpenAlex | W3038372909 |
| Language | EN |
| Citations received | 54 |
| References cited | 93 |
In virtual reality (VR), users can experience symptoms of motion sickness, which is referred to as VR sickness or cybersickness. The symptoms include but are not limited to eye fatigue, disorientation, and nausea, which can impair the VR experience of users. Though many studies have attempted to reduce the discomfort, they produced conflicting results with varying degrees of VR sickness. In particular, a visually improved VR does not necessarily result in decreased VR sickness. To understand these unexpected results, we surveyed the causes of VR sickness and measurement of symptoms. We reorganized the causes of the VR sickness into three major factors (hardware, content, and human factors) and investigated the sub-component of each factor. We then surveyed frequently used measures of VR sickness, both subjective and objective approaches. We also investigated emerging approaches for reducing VR sickness and proposed a multimodal fidelity hypothesis to give an insight into future studies.
Human–computer interaction · Motion sickness · Psychiatry · Simulator sickness · Virtual reality · Advanced Optical Imaging Technologies · Computer Science · Medicine · Psychology · Virtual Reality Applications and Impacts
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| Unique citing works | 54 |
|---|---|
| Citations per year | 9 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 52 |