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Emotion-Driven Narrative Generation

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Emotion in Games

Part of the book series: Socio-Affective Computing ((SAC,volume 4))

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Abstract

While a number of systems have been developed that can generate stories, the challenge of generating stories that elicit emotions from human audiences remains an open problem. With the development of models of emotion, it would be possible to use these models as means of evaluating stories for their emotional content. In this chapter, we discuss Dramatis, a model of suspense. This model measures the level of suspense in a story by attempting to determine the best method for the protagonist to avoid a negative outcome. We discuss the possibilities for Dramatis and other emotion models for improving intelligent generation of narratives.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Technology, Western New England University, 1215 Wilbraham Road, Springfield, MA, 01119, USA

    Brian O’Neill

  2. School of Interactive Computing, Georgia Institute of Technology, 85 Fifth Street, Atlanta, GA, 30308, USA

    Mark Riedl

Authors
  1. Brian O’Neill
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  2. Mark Riedl
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Corresponding author

Correspondence to Brian O’Neill .

Editor information

Editors and Affiliations

  1. Institute of Communication and Computer Systems, National Technical University of Athens, Zographou, Greece

    Kostas Karpouzis

  2. Institute of Digital Games, University of Malta, Msida, Malta

    Georgios N. Yannakakis

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O’Neill, B., Riedl, M. (2016). Emotion-Driven Narrative Generation. In: Karpouzis, K., Yannakakis, G. (eds) Emotion in Games. Socio-Affective Computing, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-41316-7_10

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