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Interactive Narrative Generation Using Location and Genre Specific Context

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Interactive Storytelling (ICIDS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11869))

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Abstract

In this paper, we present a novel method of creating interactive narratives. Location-based narrative sentences are mapped to their real-world location using GPS. A corpus of genre-based sentences is aggregated to train a neural network. New narratives are created by selecting a sentence from the network’s “Sentence Space” that corresponds to contextual information from the user’s physical location. Each narrative is explored using GPS location tracking and WebGL based augmented reality in mobile web browsers.

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Author information

Authors and Affiliations

  1. Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Jon Womack & William Freeman

Authors
  1. Jon Womack
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  2. William Freeman
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Corresponding author

Correspondence to William Freeman .

Editor information

Editors and Affiliations

  1. University of Utah, Salt Lake City, UT, USA

    Rogelio E. Cardona-Rivera

  2. Georgia Institute of Technology, Atlanta, GA, USA

    Anne Sullivan

  3. University of Utah, Salt Lake City, UT, USA

    R. Michael Young

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Womack, J., Freeman, W. (2019). Interactive Narrative Generation Using Location and Genre Specific Context. In: Cardona-Rivera, R., Sullivan, A., Young, R. (eds) Interactive Storytelling. ICIDS 2019. Lecture Notes in Computer Science(), vol 11869. Springer, Cham. https://doi.org/10.1007/978-3-030-33894-7_35

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  • DOI: https://doi.org/10.1007/978-3-030-33894-7_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33893-0

  • Online ISBN: 978-3-030-33894-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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