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

Extended Abstract at ACM CHI 2019 Late-Breaking Work

We presented our work on the VRIA framework, as a Late Breaking work extended abstract in the ACM Conference on Human Factors in Computing Systems (CHI 2019), held in Glasgow, UK, on the 4th - 9th of May, 2019.

The work was a preamble, for our more recent journal work available here

More information on our work on Immersive Analytics can be found here.


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. 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.
[Abstract]   [Details]   [PDF]   [doi:10.1145/3290607.3312798]