Journal paper in IEEE TVCG
Our journal article “VRIA: A Web-based Framework for Creating Immersive Analytics Experiences” has been accepted in IEEE Transactions of Visualization and Computer Graphics (TVCG).
<VRIA> is a framework for building Immersive Analytics solutions in VR, using standards-based Web-technologies. It is built using WebVR, A-Frame and React and the resulting VR solutions can be experienced through a WebVR-compliant browser on a variety of devices, ranging from smartphones to HMD-equipped desktop computers. <VRIA> uses a declarative format for specifying visualization types through simple configuration files, simplifying visualization prototyping, data binding and interaction configuration.
<VRIA>’s visualization creation workflow (below, Figure 1.) provides different development paths for novice, intermediate and expert developers, and makes (optional) use of a dedicated visualization builder (show at the top), a Web-based interface that enables developers to easily prototype IA experiences and export their visualization configurations. These configurations can be further customized via the <VRIA> API to create new immersive depictions. Our paper presents a series of use cases that demonstrate the functionality and versatility of <VRIA>, including early extensions to MR space.
More information on the VRIA framework can be found here.
P. W. S. Butcher, N. W. John, and P. D. Ritsos, “VRIA: A Web-based Framework for Creating Immersive Analytics Experiences,” IEEE Transactions on Visualization and Computer Graphics (Early Access)), Jan. 2020.
We present <VRIA>, a Web-based framework for creating Immersive Analytics (IA) experiences in Virtual Reality. <VRIA> is built upon WebVR, A-Frame, React and D3.js, and offers a visualization creation workflow which enables users, of different levels of
expertise, to rapidly develop Immersive Analytics experiences for the Web. The use of these open-standards Web-based technologies
allows us to implement VR experiences in a browser and offers strong synergies with popular visualization libraries, through the HTML
Document Object Model (DOM). This makes <VRIA> ubiquitous and platform-independent. Moreover, by using WebVR’s progressive
enhancement, the experiences <VRIA> creates are accessible on a plethora of devices. We elaborate on our motivation for focusing on
open-standards Web technologies, present the <VRIA> creation workflow and detail the underlying mechanics of our framework. We also
report on techniques and optimizations necessary for implementing Immersive Analytics experiences on the Web, discuss scalability
implications of our framework, and present a series of use case applications to demonstrate the various features of <VRIA>. Finally, we
discuss current limitations of our framework, the lessons learned from its development, and outline further extensions.