Literature DB >> 18467758

Scientific sketching for collaborative VR visualization design.

Daniel F Keefe1, Daniel Acevedo, Jadrian Miles, Fritz Drury, Sharon M Swartz, David H Laidlaw.   

Abstract

We present four studies investigating tools and methodologies for artist-scientist-technologist collaboration in designing multivariate, virtual reality (VR) visualizations. Design study 1 identifies the promise of 3D drawing-style interfaces for VR design and also establishes limitations of these tools with respect to precision and support for animation. Design study 2 explores animating artist-created visualization designs with scientific 3D fluid flow data. While results captured an accurate sense of flow that was advantageous as compared to the results of study 1, the potential for visual exploration using the design tools tested was limited. Design study 3 reveals the importance of a new 3D interface that overcomes the precision limitation found in study 1 while remaining accessible to artist collaborators. Drawing upon previous results, design study 4 engages collaborative teams in a design process that begins with traditional paper sketching and moves to animated, interactive, VR prototypes "sketched" by designers in VR using interactive 3D tools. Conclusions from these four studies identify important characteristics of effective artist-accessible VR visualization design tools and lead to a proposed formalized methodology for successful collaborative design that we expect to be useful in guiding future collaborations. We call this proposed methodology Scientific Sketching.

Mesh:

Year:  2008        PMID: 18467758     DOI: 10.1109/TVCG.2008.31

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  Toward Mixed Method Evaluations of Scientific Visualizations and Design Process as an Evaluation Tool.

Authors:  Bret Jackson; Dane Coffey; Lauren Thorson; David Schroeder; Arin M Ellingson; David J Nuckley; Daniel F Keefe
Journal:  Proc 2012 BELIV Workshop (2012)       Date:  2012-10

2.  Trend-Centric Motion Visualization: Designing and Applying a New Strategy for Analyzing Scientific Motion Collections.

Authors:  David Schroeder; Fedor Korsakov; Carissa Mai-Ping Knipe; Lauren Thorson; Arin M Ellingson; David Nuckley; John Carlis; Daniel F Keefe
Journal:  IEEE Trans Vis Comput Graph       Date:  2014-12       Impact factor: 4.579

  2 in total

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