Panagiotis D. Ritsos

MEng PhD Essex, FHEA

Lecturer in Visualization

Immersive Environments Lab
Visualization, Data, Modelling and
Graphics (VDMG) research group,

School of Computer Science
and Electronic Engineering,

Bangor University,
Dean Street, Bangor,
Gwynedd, UK, LL57 1UT

VRIA: A Web-based Framework for Creating Immersive Analytics Experiences

Teaser for VRIA: A Web-based Framework for Creating Immersive Analytics Experiences

Abstract

We present <VRIA>, a Web-based framework for creating Immersive Analytics (IA) experiences in Virtual Reality. <VRIA> is built upon WebVR, A-Frame, React and D3.js, and offers a visualization creation workflow which enables users, of different levels of expertise, to rapidly develop Immersive Analytics experiences for the Web. The use of these open-standards Web-based technologies allows us to implement VR experiences in a browser and offers strong synergies with popular visualization libraries, through the HTML Document Object Model (DOM). This makes <VRIA> ubiquitous and platform-independent. Moreover, by using WebVR’s progressive enhancement, the experiences <VRIA> creates are accessible on a plethora of devices. We elaborate on our motivation for focusing on open-standards Web technologies, present the <VRIA> creation workflow and detail the underlying mechanics of our framework. We also report on techniques and optimizations necessary for implementing Immersive Analytics experiences on the Web, discuss scalability implications of our framework, and present a series of use case applications to demonstrate the various features of <VRIA>. Finally, we discuss current limitations of our framework, the lessons learned from its development, and outline further extensions.

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Citation

P. W. S. Butcher, N. W. John, and P. D. Ritsos, “VRIA: A Web-based Framework for Creating Immersive Analytics Experiences,” IEEE Transactions on Visualization and Computer Graphics, vol. 27, no. 07, pp. 3213–3225, Jul. 2021.  doi:10.1109/TVCG.2020.2965109

Bibtex

@article{Butcher-et-al-TVCG-2022,
  author = {Butcher, Peter W.S. and John, Nigel W. and Ritsos, Panagiotis D.},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  title = {{VRIA: A Web-based Framework for Creating Immersive Analytics Experiences}},
  year = {2021},
  volume = {27},
  number = {07},
  pages = {3213-3225},
  month = jul,
  doi = {10.1109/TVCG.2020.2965109},
  issn = {1077-2626},
  publisher = {IEEE Computer Society},
  address = {Los Alamitos, CA, USA}
}