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Immersive Visual Data Stories

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Immersive Analytics

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

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Abstract

We discuss opportunities and challenges for making people experience immersion when interacting with visual data stories. Even though visual data stories are an important means for communicating information, the extent to which viewers feel immersed in such stories has so far been hardly explored. In this chapter, we explore the concept of immersion in visual data stories from the viewpoint of related disciplines in which narratives play an important role. We pay special attention to games research, which shares a focus on graphics and interactivity with our context of visual data stories. From this exploration we derive research opportunities and challenges for immersion in visual data stories.

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Author information

Authors and Affiliations

  1. Inria, Paris, France

    Petra Isenberg

  2. Microsoft Research, Redmond, USA

    Bongshin Lee

  3. Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Huamin Qu

  4. Monash University, Melbourne, Australia

    Maxime Cordeil

Authors
  1. Petra Isenberg
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  2. Bongshin Lee
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  3. Huamin Qu
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  4. Maxime Cordeil
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Corresponding author

Correspondence to Bongshin Lee .

Editor information

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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Isenberg, P., Lee, B., Qu, H., Cordeil, M. (2018). Immersive Visual Data Stories. 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_6

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  • DOI: https://doi.org/10.1007/978-3-030-01388-2_6

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  • Print ISBN: 978-3-030-01387-5

  • Online ISBN: 978-3-030-01388-2

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