Journal Paper

@article{borowski2025DashSpace, title={DashSpace: A Live Collaborative Platform for Immersive and Ubiquitous Analytics}, author={Marcel Borowski and Peter W. S. Butcher and Kristensen, Janus Bager and Jonas Oxenboll Petersen and Panagiotis D. Ritsos and Clemens Nylandsted Klokmose and Niklas Elmqvist}, url={https://doi.org/10.1109/TVCG.2025.3537679}, year={2025}, date={2025-01-01}, journal={IEEE Transactions on Visualization and Computer Graphics}, publisher={IEEE Computer Society}, address={Los Alamitos, CA, USA}, volume={31}, number={10}, pages={7034--7047}, doi={10.1109/TVCG.2025.3537679}, issn={1077-2626}, abstract={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.}, language={English}, keywords={augmented reality,collaborative visualization,extended reality,immersive analytics,ubiquitous analytics,web-based technologies}, }