Panagiotis D. Ritsos

MEng PhD Essex, FHEA

Senior Lecturer in Visualization

XReality, Visualization and
Analytics (XRVA) 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

  +44 (0)1248 382698
  p.ritsos (at) bangor.ac.uk
  University Page
  Google Scholar
  ResearchGate
  GitHub
  ORCID
  ArXiv
  dplp

Built with Jekyll
Last updated on March 2024
© 2024. All rights reserved.

Is Native Naïve? Comparing Native Game Engines and WebXR as Immersive Analytics Development Platforms

Teaser for Is Native Naïve? Comparing Native Game Engines and WebXR as Immersive Analytics Development Platforms

Abstract

Native game engines have long been the 3D development platform of choice for research in mixed and augmented reality. For this reason they have also been adopted in many immersive visualization and immersive analytics systems and toolkits. However, with the rapid improvements of WebXR and related open technologies, this choice may not always be optimal for future visualization research. In this paper, we investigate common assumptions about native game engines vs. WebXR and find that while native engines still have an advantage in many areas, WebXR is rapidly catching up and is superior for many immersive analytics applications.

Citation

P. W. S. Butcher, A. Batch, D. Saffo, B. MacIntyre, N. Elmqvist, and P. D. Ritsos, “Is Native Naïve? Comparing Native Game Engines and WebXR as Immersive Analytics Development Platforms,” IEEE Computer Graphics and Applications (To Appear), May 2024.  doi:10.1109/MCG.2024.3367422

Bibtex

@article{Butcher-et-al-CGA2024,
  author = {Butcher, Peter W. S. and Batch, Andrea and Saffo, David and MacIntyre, Blair and Elmqvist, Niklas and Ritsos, Panagiotis D.},
  journal = {IEEE Computer Graphics and Applications (To Appear)},
  title = {{Is Native Naïve? Comparing Native Game Engines and WebXR as Immersive Analytics Development Platforms}},
  year = {2024},
  month = may,
  doi = {10.1109/MCG.2024.3367422}
}