Immersive Analytics
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 the aims of immersive analytics research are clarified, its opportunities and historical
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State-of-the-Art Survey
Kim Marriott · Falk Schreiber Tim Dwyer · Karsten Klein Nathalie Henry Riche · Takayuki Itoh Wolfgang Stuerzlinger · Bruce H. Thomas (Eds.)
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Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology Madras, Chennai, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/7409
Kim Marriott Falk Schreiber Tim Dwyer Karsten Klein Nathalie Henry Riche Takayuki Itoh Wolfgang Stuerzlinger Bruce H. Thomas (Eds.) •
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Editors Kim Marriott Monash University Melbourne, VIC, Australia
Nathalie Henry Riche Microsoft Redmond, WA, USA
Falk Schreiber University of Konstanz Konstanz, Germany
Takayuki Itoh Ochanomizu University Tokyo, Japan
Tim Dwyer Monash University Melbourne, VIC, Australia
Wolfgang Stuerzlinger Simon Fraser University Surrey, BC, Canada
Karsten Klein University of Konstanz Konstanz, Germany
Bruce H. Thomas University of South Australia Adelaide, SA, Australia
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-01387-5 ISBN 978-3-030-01388-2 (eBook) https://doi.org/10.1007/978-3-030-01388-2 Library of Congress Control Number: Applied For LNCS Sublibrary: SL3 – Information Systems and Applications, incl. Internet/Web, and HCI © Springer Nature Switzerland AG 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publ
