Butcher, PeterJohn, Nigel W.Ritsos, Panagiotis D.2019-02-202019-02-202019-05Butcher, P. W. S., John, N. W., & Ritsos, P. D. (2019). VRIA - A framework for immersive analytics on the web extended abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, UK. https://doi.org/10.1145/3290607.3312798978145035971910.1145/3290607.3312798http://hdl.handle.net/10034/621901We 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.enhttps://creativecommons.org/licenses/by-nc-nd/4.0/Conference Contribution