Sicknificant Steps: A Systematic Review and Meta-analysis of VR Sickness in Walking-based Locomotion for Virtual Reality
Authors
Document Title
Sicknificant Steps: A Systematic Review and Meta-analysis of VR Sickness in Walking-based Locomotion for Virtual Reality
Document Information
- Subject Area: Research on motion sickness related to walking-based locomotion in virtual reality
- Keywords: sickness, walking, virtual, reality, vr, ssq, locomotion, vrise
Research Background and Issues
- Issues and Challenges:
- Walking-based locomotion techniques in virtual reality (VR) enable users to achieve greater spatial movement within physical spaces through redirection; however, these techniques often lead to mismatches between perceived virtual motion and actual physical movement, triggering VR sickness.
- The literature has yet to clearly define the differences in VR sickness effects among various walking-based locomotion techniques (e.g., resetting, redirection, or overlapping spaces).
- Experimental results exhibit significant variability, and there is currently a lack of consistency in methods for measuring and reporting VR sickness.
- Research Importance:
- Walking-based locomotion techniques offer significant advantages in enhancing spatial perception, improving user experience, and boosting task performance. However, users can only fully benefit from these advantages if VR sickness-related issues are effectively addressed.
- Motivation and Related Work:
- Recent reviews have pointed out that hardware specifications, application characteristics, and user traits all influence VR sickness; however, the specific relationship between walking techniques and VR sickness remains controversial.
- Based on existing literature, the authors conducted a systematic review and meta-analysis of walking-based locomotion techniques and VR sickness, extending the current classification framework and providing clearer practical guidance.
Proposed Solution
- Research Methods:
- A systematic review and meta-analysis covering 96 papers published between 2016 and 2022 that focused on walking-based VR locomotion techniques and reported VR sickness measurements.
- Systematic literature screening following PRISMA guidelines, grouping and evaluating studies based on types of walking-based locomotion techniques.
- Using the Simulator Sickness Questionnaire (SSQ) as the primary measurement tool and analyzing its applicability and potential issues.
- Innovations:
- Extending the existing classification system for walking-based techniques and providing detailed guidelines for different types of technologies.
- Quantitatively comparing the VR sickness effects of various walking redirection techniques and exploring the differences among resetting, relocation, and scene manipulation techniques.
- Implementation Steps:
- Establishing a literature search and screening process, ultimately selecting 96 eligible papers.
- Extracting user experience data from each study, including SSQ total scores, experimental conditions, and user characteristics.
- Conducting meta-analysis to verify significant differences in VR sickness effects across different walking techniques.
Research Findings
- Specific Results:
- Standard equidistant walking techniques generally result in lower VR sickness compared to non-equidistant redirection techniques, although SSQ total scores remain above zero.
- Resetting techniques typically induce lower VR sickness compared to other types of redirection techniques (SSQ-TS = 13.21±1.76).
- Non-equidistant relocation and redirection techniques (e.g., scene manipulation) show significant differences in their impact on VR sickness, with some scene manipulation techniques scoring higher (e.g., SSQ-TS > 30).
- Comparative Advantages:
- Unlike previous studies that provided qualitative descriptions, this study quantitatively analyzed the VR sickness effects of different walking techniques and provided standardized experimental design details.
- Offering comparisons between SSQ baseline and post-exposure data, revealing complex relationships between VR sickness and experimental conditions.
- Limitations and Future Directions:
- The current review exhibits high heterogeneity in the data, with many studies lacking consistent details, limiting the generalizability of the results.
- Future research should explore the effects of specific user groups (e.g., children, elderly) or experimental conditions (e.g., VR exposure duration).
- Further development and testing of sickness measurement tools adapted to modern VR hardware are needed to avoid sole reliance on SSQ.
Summary and Guidelines
- Three practical guidelines for measuring and reporting VR sickness:
- Ensure accurate calculation and comprehensive reporting of SSQ scores to avoid misinterpretation of sickness ratings.
- Carefully consider whether to use SSQ as a pre-exposure measurement tool to reveal symptom differences before and after VR exposure.
- Explore other modern VR sickness measurement tools, such as the Cybersickness Questionnaire or Fast Motion Sickness Scale.
Through this review and analysis, the differences in VR sickness effects among walking-based VR locomotion techniques were clarified, providing quantitative references and suggestions for improving measurement methods in future research.
Research Questions / Practical Problems
Question signals indexed for this paper.
Research Questions
3- What differences exist in the effects of different VR locomotion techniques on VR sickness?Category: XR Cybersickness Detection and MitigationSimilar questionsarrow_forward
- Which characteristics of locomotion techniques significantly affect the severity of VR sickness?Category: XR Cybersickness Detection and MitigationSimilar questionsarrow_forward
- What are the limitations of existing SSQ assessment tools for evaluating VR sickness, and how can they be improved?Category: XR Cybersickness Detection and MitigationSimilar questionsarrow_forward
Practical Problems
1- Users easily experience motion sickness when using locomotion-based VR interaction, affecting experience and effectiveness.Category: XR Cybersickness Detection and MitigationSimilar questionsarrow_forward
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