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International Conference on Intelligent Virtual Agents

IVA 2016: Intelligent Virtual Agents pp 141–153Cite as

Using Multiple Storylines for Presenting Large Information Networks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10011))

Abstract

Storytelling has always been an effective and intuitive method of exchanging information. In today’s world of large, open, structured data, storytelling can benefit the ways in which people explore and consume such information. In this work, we investigate this potential. In particular, methods for creating multiple interweaving storylines are explored for tying together possibly disparate veins of exploration in such large networks of information and helping maintain audience interest. This paper presents the algorithms for automatically generating interweaving storylines, followed by examples and discussions for future work.

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Author information

Authors and Affiliations

  1. Department of Cognitive Science, Rensselaer Polytechnic Institute, Troy, USA

    Zev Battad & Mei Si

Authors
  1. Zev Battad
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  2. Mei Si
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Corresponding author

Correspondence to Mei Si .

Editor information

Editors and Affiliations

  1. University of Southern California, Los Angeles, California, USA

    David Traum

  2. University of Southern California, Los Angeles, California, USA

    William Swartout

  3. US Army Research Laboratory, Los Angeles, California, USA

    Peter Khooshabeh

  4. Universität Bielefeld, Bielefeld, Nordrhein-Westfalen, Germany

    Stefan Kopp

  5. University of Southern California, Los Angeles, California, USA

    Stefan Scherer

  6. University of Southern California, Los Angeles, California, USA

    Anton Leuski

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© 2016 Springer International Publishing AG

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Battad, Z., Si, M. (2016). Using Multiple Storylines for Presenting Large Information Networks. In: Traum, D., Swartout, W., Khooshabeh, P., Kopp, S., Scherer, S., Leuski, A. (eds) Intelligent Virtual Agents. IVA 2016. Lecture Notes in Computer Science(), vol 10011. Springer, Cham. https://doi.org/10.1007/978-3-319-47665-0_13

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  • DOI: https://doi.org/10.1007/978-3-319-47665-0_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47664-3

  • Online ISBN: 978-3-319-47665-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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