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A Formative Study Evaluating the Perception of Personality Traits for Planning-Based Narrative Generation

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Book cover Interactive Storytelling (ICIDS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10045))

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Abstract

The presence of interesting and compelling characters is an essential component of effective narrative. Well-developed characters have features that enable them to significantly enhance the believability and quality of a story. We present an experiment designed to gauge an audience’s perception of specific aspects of character personality traits expressed through the characters’ choices for action. The experiment served as a formative evaluation for work on the development of the Mask system for the automatic generation of narratives that express character traits through choice. Results from our study evaluate the hypothesis that the relationship between choices and the actions they lead to can be used in narrative to produce the perception of specific personality traits in an audience.

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Author information

Authors and Affiliations

  1. Liquid Narrative Research Group, The University of North Carolina at Charlotte, 9201 University City Blvd., Charlotte, North Carolina, 28223-0001, USA

    Julio César Bahamón

  2. Liquid Narrative Research Group, University of Utah, 50 S., Central Campus Drive, Salt Lake City, Utah, 84112, USA

    R. Michael Young

Authors
  1. Julio César Bahamón
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  2. R. Michael Young
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Corresponding author

Correspondence to Julio César Bahamón .

Editor information

Editors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Frank Nack

  2. The Institute for Creative Technologies, University of Southern California, Los Angeles, California, USA

    Andrew S. Gordon

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Bahamón, J.C., Young, R.M. (2016). A Formative Study Evaluating the Perception of Personality Traits for Planning-Based Narrative Generation. In: Nack, F., Gordon, A. (eds) Interactive Storytelling. ICIDS 2016. Lecture Notes in Computer Science(), vol 10045. Springer, Cham. https://doi.org/10.1007/978-3-319-48279-8_11

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  • DOI: https://doi.org/10.1007/978-3-319-48279-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48278-1

  • Online ISBN: 978-3-319-48279-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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