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Virtual reality and the CAVE: Taxonomy, interaction challenges and research directions

Open access
Muhanna, Muhanna A.·2015·Journal of King Saud University - Computer and Information Sciences

Abstract

One of the main goals of virtual reality is to provide immersive environments that take participants away from the real life into a virtual one. Many investigators have been interested in bringing new technologies, devices, and applications to facilitate this goal. Few, however, have focused on the specific human–computer interaction aspects of such environments. In this article we present our literature review of virtual reality and the Cave Automated Virtual Environment (CAVE). In particular, the article begins by providing a brief overview of the evolution of virtual reality. In addition, key elements of a virtual reality system are presented along with a proposed taxonomy that categorizes such systems from the perspective of technologies used and the mental immersion level found in these systems. Moreover, a detailed overview of the CAVE is presented in terms of its characteristics, uses, and mainly, the interaction styles inside it. Insights of the interaction challenges and research directions of investigating interaction with virtual reality systems in general and the CAVE in particular are thoroughly discussed as well.

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Metadata

Authors
Muhanna, M. A.
Venue
Journal of King Saud University - Computer and Information Sciences
Published
2015-07
Volume
27
Issue
3
Pages
344-361
ISSN
1319-1578 (ISSN-L)
OpenAlex
W2414932369
Cited by
284
References
46
FWCI
27.41
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Virtual reality and the CAVE: Taxonomy, interaction challenges and research directions. https://app.cochat.ai/papers/10.1016/j.jksuci.2014.03.023
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Muhanna, M. A. (2015). Virtual reality and the CAVE: Taxonomy, interaction challenges and research directions. Journal of King Saud University - Computer and Information Sciences. https://doi.org/10.1016/j.jksuci.2014.03.023

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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