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Emotion in GamesEmotion-Driven Narrative Generation

Emotion in Games: Emotion-Driven Narrative Generation [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Emotion in GamesEmotion-Driven Narrative Generation

Part of the Socio-Affective Computing Book Series (volume 4)
Editors: Karpouzis, Kostas; Yannakakis, Georgios N.
O’Neill, Brian; Riedl, Mark
Emotion in Games — Nov 4, 2016
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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2016
ISBN
978-3-319-41314-3
Pages
167 –180
DOI
10.1007/978-3-319-41316-7_10
Publisher site
See Chapter on Publisher Site

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.]

Published: Nov 4, 2016

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