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

  +44 (0)1248 382698
  p.ritsos (at) bangor.ac.uk
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Last updated on February 2025
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Paper accepted in IEEE TVCG

January 2025 XR, WebXR, IEEE, collaborative visualization, situated analytics, toolkits

Dashspace

Our paper DashSpace: A Live Collaborative Platform for Immersive and Ubiquitous Analytics has been accepted in IEEE Transactions on Visualization and Computer Graphics and will be presented in IEEE VIS 2025 in Vienna, Austria.

DashSpace is a live collaborative immersive and ubiquitous analytics (IA/UA) platform designed for handheld and head-mounted Augmented/Extended Reality (AR/XR) implemented using WebXR and open standards. To bridge the gap between existing web-based visualizations and the immersive analytics setting, DashSpace supports visualizing both legacy D3 and Vega-Lite visualizations on 2D planes, and extruding Vega-Lite specifications into 2.5D. It also supports fully 3D visual representations using the Optomancy grammar.

To facilitate authoring new visualizations in immersive XR, the platform provides a visual authoring mechanism where the user groups specification snippets to construct visualizations dynamically. The approach is fully persistent and collaborative, allowing multiple participants—whose presence is shown using 3D avatars and webcam feeds—to interact with the shared space synchronously, both co-located and remotely. In our paper, we present three examples of DashSpace in action: immersive data analysis in 3D space, synchronous collaboration, and immersive data presentations.

You can find DashSpace on Girhub.

Reference

M. Marcel Borowski, P. W. S. Butcher, J. B. Kristensen, J. O. Petersen, P. D. Ritsos, C. N. Klokmose, and N. Elmqvist, “DashSpace: A Live Collaborative Platform for Immersive and Ubiquitous Analytics,” IEEE Transactions on Visualization and Computer Graphics (To appear), 2025. We introduce DashSpace, a live collaborative immersive and ubiquitous analytics (IA/UA) platform designed for handheld and head-mounted Augmented/Extended Reality (AR/XR) implemented using WebXR and open standards. To bridge the gap between existing web-based visualizations and the immersive analytics setting, DashSpace supports visualizing both legacy D3 and Vega-Lite visualizations on 2D planes, and extruding Vega-Lite specifications into 2.5D. It also supports fully 3D visual representations using the Optomancy grammar. To facilitate authoring new visualizations in immersive XR, the platform provides a visual authoring mechanism where the user groups specification snippets to construct visualizations dynamically. The approach is fully persistent and collaborative, allowing multiple participants—whose presence is shown using 3D avatars and webcam feeds—to interact with the shared space synchronously, both co-located and remotely. We present three examples of DashSpace in action: immersive data analysis in 3D space, synchronous collaboration, and immersive data presentations.
[Abstract]   [Details]   [PDF]   [doi:10.1109/TVCG.2025.3537679]   [To be presented at IEEE VIS 2025]