• Building Immersive Data Visualizations for the Web

      Butcher, Peter; Ritsos, Panagiotis D.; University of Chester; Bangor University (IEEE Conference Publications, 2017-09)
      We present our early work on building prototype applications for Immersive Analytics using emerging standards-based web technologies for VR. For our preliminary investigations we visualize 3D bar charts that attempt to resemble recent physical visualizations built in the visualization community. We explore some of the challenges faced by developers in working with emerging VR tools for the web, and in building effective and informative immersive 3D visualizations.
    • Traversing social networks in the virtual dance hall: visualizing history in VR

      Southall, Helen; Beever, Lee; Butcher, Peter; University of Chester (IEEE Conference Publications, 2017-09-20)
      Digital recreations of historical sites and events are important tools both for academic researchers and for public interpretation. Current 3D visualization and VR technologies enable these recreations to be increasingly immersive and engaging. This poster describes a case study based on a mid-twentieth century Chester dance hall, examining the possibilities and limitations of 3D VR for recreating a public music venue which no longer physically exists, and also for visualizing and analyzing the professional network of musicians who played there, and at many other local venues.
    • VRIA - A Framework for Immersive Analytics on the Web

      Butcher, Peter; John, Nigel W.; Ritsos, Panagiotis D.; University of Chester and Bangor University (ACM, 2019-05)
      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.
    • VRIA: A Web-based Framework for Creating Immersive Analytics Experiences

      Butcher, Peter; John, Nigel W; Ritsos, Panagiotis D.; University of Chester and Bangor University (IEEE, 2020-01-09)
      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 HTMLDocument 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.