2017 IEEE Virtual Reality (VR) (2017)
Los Angeles, CA, USA
March 18, 2017 to March 22, 2017
Adrian K. T. Ng , The University of Hong Kong, Hong Kong, China
Leith K. Y. Chan , The University of Hong Kong, Hong Kong, China
Henry Y. K. Lau , The University of Hong Kong, Hong Kong, China
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.
Estimation, Training, Legged locomotion, Virtual environments, Three-dimensional displays, Visualization
A. K. Ng, L. K. Chan and H. Y. Lau, "Corrective feedback for depth perception in CAVE-like systems," 2017 IEEE Virtual Reality (VR), Los Angeles, CA, USA, 2017, pp. 293-294.