Visualizing motion data in virtual reality: Understanding the roles of animation, interaction, and static presentation

D. Coffey, F. Korsakov, M. Ewert, H. Hagh-Shenas, L. Thorson, Arin M Ellingson, D. Nuckley, Daniel F Keefe

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

We present a study of interactive virtual reality visualizations of scientific motions as found in biomechanics experiments. Our approach is threefold. First, we define a taxonomy of motion visualizations organized by the method (animation, interaction, or static presentation) used to depict both the spatial and temporal dimensions of the data. Second, we design and implement a set of eight example visualizations suggested by the taxonomy and evaluate their utility in a quantitative user study. Third, together with biomechanics collaborators, we conduct a qualitative evaluation of the eight example visualizations applied to a current study of human spinal kinematics. Results suggest that visualizations in this style that use interactive control for the time dimension of the data are preferable to others. Within this category, quantitative results support the utility of both animated and interactive depictions for space; however, qualitative feedback suggest that animated depictions for space should be avoided in biomechanics applications.

Original languageEnglish (US)
Pages (from-to)1215-1224
Number of pages10
JournalComputer Graphics Forum
Volume31
Issue number3 PART 3
DOIs
StatePublished - 2012

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