Omnidirectional VR Treadmills Walking Techniques: Comparing Walking-in-Place and Sliding vs Natural Walking
Bibliographic record
Abstract
In Virtual Reality (VR), exploring a large virtual environment is still an open research area, as software-based solutions can be challenging to use or contribute to motion sickness. Past work has used omnidirectional treadmills to emulate natural walking in a small space. Yet, the impact on user performance and experience of the different walking techniques these omnidirectional treadmills utilize is still unclear. This study assessed the effects of WALK-IN-PLACE, used with devices like KAT VR mini, and SLIDING, as used by devices like Cyberith Virtualizer ELITE 2, and compared them to NATURAL WALKING. Using a within-study design methodology, eighteen participants navigated a VR maze. We found that participants completed tasks fastest with NATURAL WALKING while SLIDING provided a balanced compromise between immersion and moderate physical effort, and WALK-IN-PLACE required the highest exertion with lower usability. These findings provide practical insights into performance and user-experience differences among the three VR walking techniques, informing VR-ODT selection for applications such as rehabilitation and training.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".