VRIA - A Framework for Immersive Analytics on the Web

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Authors
Butcher, Peter
John, Nigel W.
Ritsos, Panagiotis D.
Affiliation
University of Chester and Bangor University
Publication Date
2019-05

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Abstract
We report on the design, implementation and evaluation of <VRIA>, a framework for building immersive analytics (IA) solutions inWeb-based Virtual Reality (VR), built upon WebVR, A-Frame, React and D3. The recent emergence of affordable VR interfaces have reignited the interest of researchers and developers in exploring new, immersive ways to visualize data. In particular, the use of open-standards web-based technologies for implementing VR in a browser facilitates the ubiquitous and platform-independent adoption of IA systems. Moreover, such technologies work in synergy with established visualization libraries, through the HTML document object model (DOM). We discuss high-level features of <VRIA> and present a preliminary user experience evaluation of one of our use-cases.
Citation
Butcher, P. W. S., John, N. W., & Ritsos, P. D. (2019). VRIA - A framework for immersive analytics on the web extended abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, UK. https://doi.org/10.1145/3290607.3312798
Publisher
Association for Computing Machinery (ACM)
URI
http://hdl.handle.net/10034/621901
DOI
10.1145/3290607.3312798
Additional Links
https://ieeexplore.ieee.org/document/8440821/
Type
Conference Contribution
Language
en
ISBN
9781450359719
Collections
https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/