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Immersive Analytics pp 1–23Cite as

Immersive Analytics: An Introduction

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11190))

Abstract

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.

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Authors and Affiliations

  1. Monash University, Melbourne, Australia

    Tim Dwyer, Kim Marriott & Falk Schreiber

  2. Inria and University Paris-Saclay, Paris, France

    Tobias Isenberg

  3. University of Konstanz, Konstanz, Germany

    Karsten Klein & Falk Schreiber

  4. Microsoft, Redmond, USA

    Nathalie Riche

  5. Simon Fraser University, Burnaby, Canada

    Wolfgang Stuerzlinger

  6. University of South Australia, Mawson Lakes, Australia

    Bruce H. Thomas

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Editors and Affiliations

  1. Monash University, Melbourne, VIC, Australia

    Kim Marriott

  2. University of Konstanz, Konstanz, Germany

    Falk Schreiber

  3. Monash University, Melbourne, VIC, Australia

    Tim Dwyer

  4. University of Konstanz, Konstanz, Germany

    Karsten Klein

  5. Microsoft , Redmond, WA, USA

    Nathalie Henry Riche

  6. Ochanomizu University, Tokyo, Japan

    Takayuki Itoh

  7. Simon Fraser University, Surrey, BC, Canada

    Wolfgang Stuerzlinger

  8. University of South Australia, Adelaide, SA, Australia

    Bruce H. Thomas

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Dwyer, T. et al. (2018). Immersive Analytics: An Introduction. In: Marriott, K., et al. Immersive Analytics. Lecture Notes in Computer Science(), vol 11190. Springer, Cham. https://doi.org/10.1007/978-3-030-01388-2_1

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