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Collaborative Framework Design for Immersive Analytics


Nguyen, H and Marendy, P and Engelke, U, Collaborative Framework Design for Immersive Analytics, Proceedings of 2016 Big Data Visual Analytics, 22-25 November 2016, Sydney, Australia, pp. 1-8. ISBN 978-1-5090-5272-1 (2016) [Non Refereed Conference Paper]

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DOI: doi:10.1109/BDVA.2016.7787044


Recent trends in computing environments indicate that the future infrastructure for visual analytics will be distributed and collaborative. Collaborative frameworks create value for scientists, analysts, industrial partners, domain experts, and other end-users to meet, communicate, interact with others, and coordinate their activities in a globally shared network. This paper focuses on collaborative framework design for immersive analytics facilitating the integration of multimodal immersive interfaces. The framework design takes into account visualisation and interaction techniques for multiple users and especially decision support tools for scientific visual analytics experts. An overview of several important aspects of collaborative platforms for immersive analytics is presented and different modules of our proposed platform (including data management, analytics, visualisation, querying, and user interface design) will be detailed to highlight their importance in a full visual analytics pipeline.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:framework design, immersive analytics, computing environments, visual analytics,
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Image processing
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Marendy, P (Dr Peter Marendy)
UTAS Author:Engelke, U (Dr Ulrich Engelke)
ID Code:117495
Year Published:2016
Deposited By:Engineering
Deposited On:2017-06-16
Last Modified:2017-07-21

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