%0 Book Section %T Immersive Analytics: An Introduction %+ Monash University [Clayton] %+ Analysis and Visualization (AVIZ) %+ The University of Sydney %+ Microsoft Research [Redmond] %+ Leibniz Institute of Plant Genetics and Crop Plant Research [Gatersleben] (IPK-Gatersleben) %+ Department of Computer Science and Engineering [York] %+ University of South Australia [Adelaide] %A Dwyer, Tim %A Marriott, Kim %A Isenberg, Tobias %A Klein, Karsten %A Riche, Nathalie %A Schreiber, Falk %A Stuerzlinger, Wolfgang %A Thomas, Bruce %B Immersive Analytics %I Springer %P 1 - 23 %8 2018 %D 2018 %R 10.1007/978-3-030-01388-2_1 %K Data analytics %K 2D and 3D %K Decision making %K Immersive analytics %K Multi-sensory %Z Cognitive science/Computer scienceBook sections %X Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. Here we clarify the aims of immersive analytics research, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, we review how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research. %G English %2 https://inria.hal.science/hal-01907533/document %2 https://inria.hal.science/hal-01907533/file/Dwyer_2018_IAI.pdf %L hal-01907533 %U https://inria.hal.science/hal-01907533 %~ CNRS %~ INRIA %~ UNIV-PSUD %~ IRISA %~ INRIA-SACLAY %~ INRIA_TEST %~ TESTALAIN1 %~ UMR8623 %~ CENTRALESUPELEC %~ INRIA2 %~ UR1-MATH-STIC %~ UNIV-PARIS-SACLAY %~ UR1-UFR-ISTIC %~ UNIV-PSUD-SACLAY %~ INRIA-SACLAY-2015 %~ CENTRALESUPELEC-SACLAY %~ INRIA-300009 %~ UR1-MATH-NUM %~ LISN %~ GS-ENGINEERING %~ GS-COMPUTER-SCIENCE %~ LISN-AVIZ %~ INRIA-ETATSUNIS %~ INRIA-AUSTRALIE %~ INRIA-CANADA %~ INRIA-ALLEMAGNE