Abstract
VR lends itself to the study of intersensory calibration in self-motion perception. However, proper calibration of visual and locomotor self-motion in VR is made complicated by the compression of perceived distance and by unfamiliar modes of locomotion. Although adaptation is fairly rapid with exposure to novel sensorimotor correlations, here it is shown that good initial calibration is found when both (1) the virtual environment is richly structured in near space and (2) locomotion is on solid ground. Previously it had been observed that correct visual speeds seem too slow when walking on a treadmill. Several principles may be involved, including inhibitory sensory prediction, distance compression, and missing peripheral flow in the reduced FOV. However, though a richly-structured near-space environment provides higher rates of peripheral flow, its presence does not improve calibration when walking on a treadmill. Conversely, walking on solid ground still shows relatively poor calibration in an empty (though well-textured) virtual hallway. Because walking on solid ground incorporates well-calibrated mechanisms that can assess speed of self-motion independent of vision, these observations suggest that near space may have been better calibrated in the HMD. Near-space obstacle avoidance systems may also be involved. Order effects in the data from the treadmill experiment indicate that recalibration of self-motion perception occurred during the experiment.
| Original language | English |
|---|---|
| Article number | 64 |
| Pages (from-to) | 503-514 |
| Number of pages | 12 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5666 |
| DOIs | |
| State | Published - 2005 |
| Externally published | Yes |
| Event | Proceedings of SPIE-IS and T Electronic Imaging - Human Vision and Electronic Imaging X - San Jose, CA, United States Duration: 17 Jan 2005 → 20 Jan 2005 |
Keywords
- Calibration
- Immersion
- Locomotion
- Optic flow
- Self-motion
- Vestibular
- Virtual reality