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Conference Paper: Corrective feedback for depth perception in CAVE-like systems

TitleCorrective feedback for depth perception in CAVE-like systems
Authors
KeywordsCAVE-like systems
Distance estimation
Error correction
ImseCAVE
Training from feedback
Issue Date2017
PublisherIEEE.
Citation
IEEE International Conference on Virtual Reality (VR), Los Angeles, USA, 18-22 March 2017. In 2017 IEEE Virtual Reality (VR) Proceedings, p. 293–294 How to Cite?
AbstractThe 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.
Persistent Identifierhttp://hdl.handle.net/10722/241703
ISBN

 

DC FieldValueLanguage
dc.contributor.authorNg, AKT-
dc.contributor.authorChan, LKY-
dc.contributor.authorLau, HYK-
dc.date.accessioned2017-06-20T01:47:24Z-
dc.date.available2017-06-20T01:47:24Z-
dc.date.issued2017-
dc.identifier.citationIEEE International Conference on Virtual Reality (VR), Los Angeles, USA, 18-22 March 2017. In 2017 IEEE Virtual Reality (VR) Proceedings, p. 293–294-
dc.identifier.isbn978-1-5090-6647-6-
dc.identifier.urihttp://hdl.handle.net/10722/241703-
dc.description.abstractThe 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.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofIEEE International Conference on Virtual Reality (VR)-
dc.rightsIEEE International Conference on Virtual Reality (VR). Copyright © IEEE.-
dc.subjectCAVE-like systems-
dc.subjectDistance estimation-
dc.subjectError correction-
dc.subjectImseCAVE-
dc.subjectTraining from feedback-
dc.titleCorrective feedback for depth perception in CAVE-like systems-
dc.typeConference_Paper-
dc.identifier.emailChan, LKY: lkychan@hku.hk-
dc.identifier.emailLau, HYK: hyklau@hkucc.hku.hk-
dc.identifier.authorityLau, HYK=rp00137-
dc.identifier.doi10.1109/VR.2017.7892292-
dc.identifier.scopuseid_2-s2.0-85018421801-
dc.identifier.hkuros272875-
dc.identifier.spage293-
dc.identifier.epage294-
dc.publisher.placeUnited States-

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