Suspenser: A Story Generation System for Suspense


Interactive storytelling has been receiving a growing attention from AI and game communities and a range of computational approaches have shown guarantees in generating stories for games. But, there has been very little analysis on stories evoking specific cognitive and affective responses. The goal of the work we describe here is to develop a system that produces a narrative designed specifically to arouse suspense from its reader. Our approach tries to make stories that manipulate the reader's suspense level by elaborating on the story structure that may influence the reader's narrative comprehension at a selected point in her reading. Adapting theories developed by cognitive psychologists, our approach uses a arrange-based mostly model of narrative comprehension to work out the final content of the story so as to manipulate the reader's suspense. In this paper, we tend to describe our system implementation and empirical evaluations to check the efficacy of this system.

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