VRIA - A Framework for Immersive Analytics on the Web
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Electronic versions
We report on the design, implementation and evaluation of <VRIA>, a framework for building immersive analytics (IA) solutions inWeb-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.
Keywords
- Immersive Analytics, Information Visualization, Virtual Reality, Web-based Interaction
| Original language | English |
|---|---|
| Title of host publication | CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI'19 Extended Abstracts) |
| ISBN (electronic) | 978-1-4503-5971-9/19/05 |
| DOIs | |
| Publication status | Published - 2019 |
Research outputs (5)
- Published
One view is not enough: review of and encouragement for multiple and alternative representations in 3D and immersive visualisation
Research output: Contribution to journal › Article › peer-review
- Published
3D visualisations Should Not be Displayed Alone – Encouraging a Need for Multivocality in Visualisation
Research output: Contribution to conference › Paper › peer-review
- Published
Learning Activities in Colours and Rainbows for Programming Skill Development
Research output: Contribution to conference › Paper › peer-review
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