Visualization enables scientists to transform data in its raw form to a visual form that will facilitate discoveries and insights. Although there are advantages for displaying inherently 3-dimensional (3D) data in immersive environments, those advantages are hampered by the challenges involved in selecting volumes of that data for exploration or analysis. Selection involves the user identifying a set of points for a specific task. This paper preliminary data collection on natural user actions for volume selection. This paper also presents a research agenda outlining an extension for volume selection classification, as well as challenges, for designing components for a direct selection of volumes of data points.


HCI methods and theories Human Centered Design and User Centered Design Interaction design Visualization methods and techniques 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Amy Banic
    • 1
  1. 1.University of WyomingUSA

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