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An Information-Theoretic Approach to the Cost-benefit Analysis of Visualization in Virtual Environments
Chen, Min Gaither, Kelly John, Nigel W. McCann, Brian
Chen, Min
Gaither, Kelly
John, Nigel W.
McCann, Brian
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Publication Date
2018-08-20
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Abstract
Visualization and virtual environments (VEs) have been two interconnected parallel strands in visual computing for decades.
Some VEs have been purposely developed for visualization applications, while many visualization applications are exemplary showcases in general-purpose VEs. Because of the development and operation costs of VEs, the majority of visualization applications in practice have yet to benefit from the capacity of VEs. In this paper, we examine this status quo from an information-theoretic perspective. Our objectives are to conduct cost-benefit analysis on typical VE systems (including augmented and mixed reality, theatre-based systems, and large powerwalls), to explain why some visualization applications benefit more from VEs than others, and to sketch out pathways for the future development of visualization applications in VEs. We support our theoretical propositions and analysis using theories and discoveries in the literature of cognitive sciences and the practical evidence reported in the literatures of visualization and VEs.
Citation
M. Chen, K. Gaither, N. W. John and B. Mccann, "An Information-Theoretic Approach to the Cost-benefit Analysis of Visualization in Virtual Environments," in IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 1, pp. 32-42, Jan. 2019. doi: 10.1109/TVCG.2018.2865025
Publisher
IEEE
Journal
IEEE Transactions on Visualization and Computer Graphics
Research Unit
DOI
10.1109/TVCG.2018.2865025
PubMed ID
PubMed Central ID
Type
Article
Language
en
Description
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Series/Report no.
ISSN
1077-2626
EISSN
1941-0506