VR 2017

2017 IEEE Virtual Reality (VR), March 18-22, 2017, Los Angeles, CA, USA

Desktop Layout

Poster Session A
Posters
Ballroom A/B
Corrective Feedback for Depth Perception in CAVE-Like Systems
Adrian K. T. Ng, Leith K. Y. Chan, and Henry Y. K. Lau
(University of Hong Kong, China)
Abstract: The perceived distance estimation in an immersive virtual reality system is generally underestimated to the actual distance. Approaches had been found to provide users with better dimensional perception. One method used in head-mounted displays is to interact by walking with visual feedback, but it is not suitable for a CAVE-like system, like imseCAVE with confined spaces for walking. A verbal corrective feedback mechanism is proposed. The result shows that estimation accuracy generally improves after eight feedback trials although some estimations become overestimated. One possible explanation is the need of more verbal feedback trials. Further research on top-down approach for improvement in depth perception is suggested.

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Time stamp: 2019-07-18T23:57:59+02:00