Collaborative Immersive Analytics

Mark Billinghurst 1 Maxime Cordeil 2 Anastasia Bezerianos 3, 4 Todd Margolis 5
1 School of ITMS, University of South Australia
2 Monash University [Melbourne]
3 LRI - Laboratoire de Recherche en Informatique
4 ILDA - Interacting with Large Data
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
5 Qlik
Abstract : Many of the problems being addressed by Immersive Analytics require groups of people to solve. This chapter introduces the concept of Collaborative Immersive Analytics (CIA) and reviews how immersive technologies can be combined with Visual Analytics to facilitate co-located and remote collaboration. We provide a definition of Collaborative Immersive Analytics and then an overview of the different types of possible collaboration. The chapter also discusses the various roles in collaborative systems, and how to support shared interaction with the data being presented. Finally, we summarize the opportunities for future research in this domain. The aim of the chapter is to provide enough of an introduction to CIA and key directions for future research, so that practitioners will be able to begin working in the field.
Keywords : collaborative immersive analytics immersive analytics immersion human-computer interaction visual analytics collaboration collaborative visual-ization shared interaction
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Submitted on : Wednesday, November 28, 2018 - 5:06:28 PM
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CENTRALESUPELEC | INRIA | UMR8623 | LRI-HCC | UNIV-PARIS-SACLAY

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Mark Billinghurst, Maxime Cordeil, Anastasia Bezerianos, Todd Margolis. Collaborative Immersive Analytics. Immersive Analytics, Marriott, K., Schreiber, F., Dwyer, T., Klein, K., Riche, N.H., Itoh, T., Stuerzlinger, W., Thomas, B.H., 2018, 978-3-030-01387-5. ⟨10.1007/978-3-030-01388-2_8⟩. ⟨hal-01938529⟩

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