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

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Empirical, hypothesis-driven, experimentation is at the heart of the scientific discovery process and has become commonplace 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.

Original languageEnglish
Article number7192692
Pages (from-to)111-120
Number of pages10
JournalIEEE Transactions on Visualization and Computer Graphics
Volume22
Issue number1
DOIs
StatePublished - Jan 31 2016

Keywords

  • Atmospheric measurements
  • Data visualization
  • Human computer interaction
  • Ontologies
  • Particle measurements
  • Statistical analysis
  • Visualization

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