A computational model of suspense for the augmentation of intelligent story generation

dc.contributor.advisor Riedl, Mark O.
dc.contributor.author O'Neill, Brian
dc.contributor.committeeMember Magerko, Brian
dc.contributor.committeeMember Goel, Ashok
dc.contributor.committeeMember Ram, Ashwin
dc.contributor.committeeMember Gervas, Pablo
dc.contributor.department Interactive Computing
dc.date.accessioned 2014-01-13T19:38:00Z
dc.date.available 2014-01-13T19:38:00Z
dc.date.issued 2013-11-18
dc.description.abstract In this dissertation, I present Dramatis, a computational human behavior model of suspense based on Gerrig and Bernardo's de nition of suspense. In this model, readers traverse a search space on behalf of the protagonist, searching for an escape from some oncoming negative outcome. As the quality or quantity of escapes available to the protagonist decreases, the level of suspense felt by the audience increases. The major components of Dramatis are a model of reader salience, used to determine what elements of the story are foregrounded in the reader's mind, and an algorithm for determining the escape plan that a reader would perceive to be the most likely to succeed for the protagonist. I evaluate my model by comparing its ratings of suspense to the self-reported suspense ratings of human readers. Additionally, I demonstrate that the components of the suspense model are sufficient to produce these human-comparable ratings.
dc.description.degree Ph.D.
dc.identifier.uri http://hdl.handle.net/1853/50416
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Artificial intelligence
dc.subject Computational creativity
dc.subject Story generation
dc.subject Human behavior model
dc.subject Suspense
dc.subject.lcsh Storytelling
dc.subject.lcsh Artificial intelligence Computer programs
dc.subject.lcsh Suspense fiction
dc.title A computational model of suspense for the augmentation of intelligent story generation
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Riedl, Mark O.
local.contributor.corporatename College of Computing
local.contributor.corporatename School of Interactive Computing
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relation.isOrgUnitOfPublication aac3f010-e629-4d08-8276-81143eeaf5cc
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