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Emotion-Driven Narrative Generation

  • Brian O’Neill
  • Mark Riedl
Chapter
Part of the Socio-Affective Computing book series (SAC, volume 4)

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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer Science and Information TechnologyWestern New England UniversitySpringfieldUSA
  2. 2.School of Interactive ComputingGeorgia Institute of TechnologyAtlantaUSA

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