A Makerspace Foot Pedal and Shoe Add-On for Seated Virtual Reality Locomotion
Bibliographic record
Abstract
Virtual reality advances are constantly pushing the envelope of what is possible in the realm of human-computer interaction to provide more engaging and immersive experiences. Recent trends in consumer virtual reality are seeing the development of stand-alone headsets providing portable wireless experiences. However, one aspect of VR that is still in need of improvement is user-friendly, immersive, intuitive, and effective locomotion. Currently, commodity locomotion is achieved through teleportation, gamepad-based, or room-scale locomotion, unlike high-end systems featuring omnidirectional treadmills that require higher investment and specialized infrastructure. Proper virtual reality locomotion can increase immersion, presence, and allow effective interactions that can positively impact applications in health care, education, training, and safety. In this paper, we present a preliminary usability study on seated virtual reality locomotion employing consumer-level devices, teleportation, and two custom-made devices employing 3D printing and open electronics as an alternative for walking in VR.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.034 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".