A meta-analysis of the virtual reality problem: Unequal effects of virtual reality sickness across individual differences

2021 ◽  
Author(s):  
Matt C. Howard ◽  
Elise C. Van Zandt
2021 ◽  
Author(s):  
Polona Caserman ◽  
Augusto Garcia-Agundez ◽  
Alvar Gámez Zerban ◽  
Stefan Göbel

AbstractCybersickness (CS) is a term used to refer to symptoms, such as nausea, headache, and dizziness that users experience during or after virtual reality immersion. Initially discovered in flight simulators, commercial virtual reality (VR) head-mounted displays (HMD) of the current generation also seem to cause CS, albeit in a different manner and severity. The goal of this work is to summarize recent literature on CS with modern HMDs, to determine the specificities and profile of immersive VR-caused CS, and to provide an outlook for future research areas. A systematic review was performed on the databases IEEE Xplore, PubMed, ACM, and Scopus from 2013 to 2019 and 49 publications were selected. A summarized text states how different VR HMDs impact CS, how the nature of movement in VR HMDs contributes to CS, and how we can use biosensors to detect CS. The results of the meta-analysis show that although current-generation VR HMDs cause significantly less CS ($$p<0.001$$ p < 0.001 ), some symptoms remain as intense. Further results show that the nature of movement and, in particular, sensory mismatch as well as perceived motion have been the leading cause of CS. We suggest an outlook on future research, including the use of galvanic skin response to evaluate CS in combination with the golden standard (Simulator Sickness Questionnaire, SSQ) as well as an update on the subjective evaluation scores of the SSQ.


2021 ◽  
pp. 026921552199517
Author(s):  
Runze Li ◽  
Yanran Zhang ◽  
Yunxia Jiang ◽  
Mengyao Wang ◽  
Wei How Darryl Ang ◽  
...  

Objective: To examine the effectiveness of rehabilitation training based on virtual reality in improving balance, quality of life, activities of daily living, and depressive symptoms of patients with Parkinson’s disease. Data sources: PubMed, EMBASE, CINAHL, Scopus, Cochrane Library, PsycINFO, ProQuest, Physiotherapy Evidence Database, IEEE Xplore, China National Knowledge Infrastructure, Wanfang, and VIP Information databases were searched from their inception to October 15, 2020. Trial registries, gray literature, and target journals were also searched. Methods: Eligible randomized controlled trials included studies with patients with Parkinson’s disease in rehabilitation training based on virtual reality. Comprehensive Meta-Analysis 3.0 software was used. Physiotherapy Evidence Database Scale and the Grading of Recommendation, Assessment, Development, and Evaluation system were used to assess the methodological quality of individual trials and the overall quality of the evidence, respectively. Results: A total of 22 randomized controlled trials with 836 patients were included. Meta-analysis revealed that training significantly improved balance ( g = 0.66, P < 0.001), quality of life ( g = 0.28, P = 0.015), activities of daily living ( g = 0.62, P < 0.001), and depressive symptoms ( g = 0.67, P = 0.021) compared to the control group. Subgroup analysis indicated that training should utilize video game consoles. Meta-regression analyses showed that age, sessions, and frequency of training had statistically significant impacts on balance scores. Quality of individual trials was high and overall evidence ranged from very low to low. Conclusion: Virtual rehabilitation training could be adopted in healthcare institutions as supplementary training for patients with Parkinson’s disease.


2020 ◽  
Vol 9 (10) ◽  
pp. 3151
Author(s):  
Chang-Hoon Koo ◽  
Jin-Woo Park ◽  
Jung-Hee Ryu ◽  
Sung-Hee Han

Virtual reality (VR), a technology that provides a stimulated sensory experience, has recently been implemented in various fields of medicine. Several studies have investigated the efficacy of VR on preoperative anxiety. The purpose of this meta-analysis was to validate whether VR could relieve preoperative anxiety in patients undergoing surgery. Electronic databases were searched to identify all randomized controlled trials (RCTs) investigating the effect of VR on preoperative anxiety. The primary outcome was defined as the preoperative anxiety scores. We estimated the effect size using the standard mean difference (SMD) with a 95% confidence interval (CI) using a random effect model. Ultimately, 10 RCTs, with a total of 813 patients, were included in the final analysis. Preoperative anxiety was significantly lower in the VR group than in the control group (SMD −0.64, 95% CI −1.08 to −0.20, p = 0.004). In a subgroup analysis, the preoperative anxiety scores were lower in the VR group than in the control group in pediatric patients (SMD −0.71, 95% CI −1.14 to −0.27, p = 0.002), whereas a significant difference was not observed between the two groups in adult patients (p = 0.226). The results of this meta-analysis indicated that VR could decrease preoperative anxiety, especially in pediatric patients.


2021 ◽  
Vol 2 ◽  
Author(s):  
Collin Turbyne ◽  
Abe Goedhart ◽  
Pelle de Koning ◽  
Frederike Schirmbeck ◽  
Damiaan Denys

Background: Body image (BI) disturbances have been identified in both clinical and non-clinical populations. Virtual reality (VR) has recently been used as a tool for modulating BI disturbances through the use of eliciting a full body illusion (FBI). This meta-analysis is the first to collate evidence on the effectiveness of an FBI to reduce BI disturbances in both clinical and non-clinical populations.Methods: We performed a literature search in MEDLINE (PubMed), EMBASE, PsychINFO, and Web of Science with the keywords and synonyms for “virtual reality” and “body image” to identify published studies until September 2020. We included studies that (1) created an FBI with a modified body shape or size and (2) reported BI disturbance outcomes both before and directly after the FBI. FBI was defined as a head-mounted display (HMD)-based simulation of embodying a virtual body from an egocentric perspective in an immersive 3D computer-generated environment.Results: Of the 398 identified unique studies, 13 were included after reading full-texts. Four of these studies were eligible for a meta-analysis on BI distortion inducing a small virtual body FBI in healthy females. Significant post-intervention results were found for estimations of shoulder width, hip width, and abdomen width, with the largest reductions in size being the estimation of shoulder circumference (SMD = −1.3; 95% CI: −2.2 to −0.4; p = 0.004) and hip circumference (SMD = −1.0; 95% CI: −1.6 to −0.4; p = 0.004). Mixed results were found in non-aggregated studies from large virtual body FBIs in terms of both estimated body size and BI dissatisfaction and in small virtual body FBI in terms of BI dissatisfaction.Conclusions: The findings presented in this paper suggest that the participants' BIs were able to conform to both an increased as well as a reduced virtual body size. However, because of the paucity of research in this field, the extent of the clinical utility of FBIs still remains unclear. In light of these limitations, we provide implications for future research about the clinical utility of FBIs for modulating BI-related outcomes.


2019 ◽  
Vol 1 (1) ◽  
pp. 96-106
Author(s):  
Run-Jie ZHANG ◽  
◽  
Shu-Jin YUE ◽  
Yun-Yue TANG ◽  
Zhi-Qi CHEN ◽  
...  

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