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Two Dimensions for Organizing Immersive Analytics: Toward a Taxonomy for Facet and Position (2005.06013v1)

Published 12 May 2020 in cs.HC

Abstract: As immersive analytics continues to grow as a discipline, so too should its underlying methodological support. Taxonomies play an important role for information visualization and human computer interaction. They provide an organization of the techniques used in a particular domain that better enable researchers to describe their work, discover existing methods, and identify gaps in the literature. Existing taxonomies in related fields do not capture or describe the unique paradigms employed in immersive analytics. We conceptualize a taxonomy that organizes immersive analytics according to two dimensions: spatial and visual presentation. Each intersection of this taxonomy represents a unique design paradigm which, when thoroughly explored, can aid in the design and research of new immersive analytic applications.

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Authors (4)
  1. David Saffo (5 papers)
  2. Sara Di Bartolomeo (5 papers)
  3. Caglar Yildirim (5 papers)
  4. Cody Dunne (14 papers)