VEEVVIE: Visual Explorer for Empirical Visualization, VR and Interaction Experiments

C. Papadopoulos, I. Gutenko, A. E. Kaufman

IEEE Transactions on Visualization and Computer Graphics ( Volume: 22, Issue: 1, Jan. 31 2016 )



Empirical, hypothesis-driven, experimentation is at the heart of the scientific discovery process and has become common place in human-factors related fields. To enable the integration of visual analytics in such experiments, we introduce VEEVVIE, the Visual Explorer for Empirical Visualization, VR and Interaction Experiments. VEEVVIE is comprised of a back-end ontology which can model several experimental designs encountered in these fields. This formalization allows VEEVVIE to capture experimental data in a query-able form and makes it accessible through a front-end interface. This front-end offers several multi-dimensional visualization widgets with built-in filtering and highlighting functionality. VEEVVIE is also expandable to support custom experimental measurements and data types through a plug-in visualization widget architecture. We demonstrate VEEVVIE through several case studies of visual analysis, performed on the design and data collected during an experiment on the scalability of high-resolution, immersive, tiled-display walls.


Node.js, Sails.js, mongoDB, AngularJS, Highcharts.js, D3.js


C. Papadopoulos