• Visualization beyond the Desktop--the Next Big Thing

      Roberts, Jonathan C.; Ritsos, Panagiotis D.; Badam, Sriram Karthik; Brodbeck, Dominique; Kennedy, Jessie; Elmqvist, Niklas; University of Chester (IEEE, 2014-11)
      Visualization researchers need to develop and adapt to today’s new devices and tomorrow’s technology. Today, people interact with visual depictions through a mouse. Tomorrow, they’ll be touching, swiping, grasping, feeling, hearing, smelling, and even tasting data.
    • VRIA - A Framework for Immersive Analytics on the Web

      Butcher, Peter; John, Nigel; Ritsos, Panagiotis; 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.
    • Wheelchair-MR: A Mixed Reality Wheelchair Training Environment

      Day, Thomas; University of Chester (2017-09-20)
      In previous work we have demonstrated that Virtual Reality can be used to help train driving skills for users of a powered wheelchair. However, cybersickness was a particular problem. This work-in-progress paper presents a Mixed Reality alternative to our wheelchair training software, which overcomes this problem. The design and implementation of this application is discussed. Early results shows some promise and overcomes the cybersickness issue. More work is needed before a larger scale study can be undertaken.