DashSpace: A Live Collaborative Platform for Immersive and Ubiquitous Analytics
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.
Authors
- Peter Butcher (ORCID: https://orcid.org/0000-0002-3361-627X)
- Niklas Elmqvist (ORCID: https://orcid.org/0000-0001-5805-5301)
- Janus Bager Kristensen (ORCID: https://orcid.org/0009-0008-9886-3256)
- Clemens Nylandsted Klokmose (ORCID: https://orcid.org/0000-0002-1866-0619)
- Panagiotis D. Ritsos (ORCID: https://orcid.org/0000-0001-9308-3885)
- Marcel Borowski (ORCID: https://orcid.org/0000-0003-4403-765X)
- Jonas Oxenbøll Petersen (ORCID: https://orcid.org/0009-0004-6323-1831)
Institutions
- Bangor University (GB)
- Aarhus University (DK)
Publication Details
- Journal
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1109/tvcg.2025.3537679
- Citations
- 3
- Primary Topic
- Data Visualization and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 3.83
Funders
- Aarhus Universitet
- Villum Fonden
- Aarhus Universitets Forskningsfond