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 Framework for Immersive Analytics on the Web

Abstract

We report on the design, implementation and evaluation of VRIA, a framework for building immersive analytics (IA) solutions in Web-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.

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Citation

P. W. S. Butcher, N. W. John, and P. D. Ritsos, “VRIA - A Framework for Immersive Analytics on the Web,” in Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (ACM CHI 2019), Glasgow, UK, 2019.  doi:10.1145/3290607.3312798

Bibtex

@inproceedings{Butcher-et-al-LBW-CHI2019,
  author = {Butcher, Peter W.S. and John, Nigel W. and Ritsos, Panagiotis D.},
  title = {{VRIA - A Framework for Immersive Analytics on the Web}},
  year = {2019},
  month = may,
  booktitle = {Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (ACM CHI 2019), Glasgow, UK},
  doi = {10.1145/3290607.3312798}
}

Poster