Title :
A Computational Model of Narrative Generation for Surprise Arousal
Author :
Byung-Chull Bae ; Young, Robert M.
Author_Institution :
Center for Comput. Games Res., IT Univ. of Copenhagen, Copenhagen, Denmark
Abstract :
This paper describes our effort for a planning-based computational model of narrative generation that is designed to elicit surprise in the reader´s mind, making use of two temporal narrative devices: flashback and foreshadowing. In our computational model, flashback provides a backstory to explain what causes a surprising outcome, while foreshadowing gives hints about the surprise before it occurs. Here, we present Prevoyant, a planning-based computational model of surprise arousal in narrative generation, and analyze the effectiveness of Prevoyant. The work here also presents a methodology to evaluate surprise in narrative generation using a planning-based approach based on the cognitive model of surprise causes. The results of the experiments that we conducted show strong support that Prevoyant effectively generates a discourse structure for surprise arousal in narrative.
Keywords :
cognition; humanities; Prevoyant model; backstory; cognitive model; flashback; foreshadowing; narrative generation; planning-based computational model; reader mind; surprise arousal; temporal narrative devices; Analytical models; Artificial intelligence; Computational modeling; Computer architecture; Generators; Libraries; Planning; Artificial intelligence; cognitive models; interactive narrative; surprise generation;
Journal_Title :
Computational Intelligence and AI in Games, IEEE Transactions on
DOI :
10.1109/TCIAIG.2013.2290330