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ACII
2011
Springer

Toward a Computational Model of Affective Responses to Stories for Augmenting Narrative Generation

7 years 11 months ago
Toward a Computational Model of Affective Responses to Stories for Augmenting Narrative Generation
Current approaches to story generation do not utilize models of human affect to create stories with dramatic arc, suspense, and surprise. This paper describes current and future work towards computational models of affective responses to stories for the purpose of augmenting computational story generators. I propose two cognitively plausible models of suspense and surprise responses to stories. I also propose methods for evaluating these models by comparing them to actual human responses to stories. Finally, I propose the implementation of these models as a heuristic in a search-based story generation system. By using these models as a heuristic, the story generation system will favor stories that are more likely to produce affective responses from human readers.
Brian O'Neill
Added 12 Dec 2011
Updated 12 Dec 2011
Type Journal
Year 2011
Where ACII
Authors Brian O'Neill
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