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Title

Qualifying and Quantifying Interestingness in Dramatic Situations

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Published in Nack, F. & Gordon, A. S. Interactive Storytelling. 9th International Conference on Interactive Digital Storytelling, ICIDS 2016. Los Angeles - 15-20 November 2016 - Cham: Springer. 2016
Collection Lecture Notes in Computer Sciences; 10045
Abstract Dramatic situations have long been studied in Drama Studies since they characterize tension and interestingness in a plot. In the field of Interactive Digital Storytelling (IDS), integrating knowledge about dramatic situations is of great relevance in order to design improved systems that dynamically generate more narratively-relevant events. However, current approaches to dramatic situations are descriptive and not directly applicable to the field of IDS. We introduce a computational model that fills that gap by both describing dramatic situations visually and providing a quantitative measure for the interestingness of a plot. Using a corpus of 20 Aesop’s fables, we compared the calculations resulting of the model with the assessments provided by 101 participants. Results suggest that our model works appropriately at least for stories characterized by a strong plot structure rather than their semantic content.
Keywords Interactive storytellingInteractive narrativeInteractive dramaComputational narratologyComputational models of narrativeDramatic situationAesop’s fables
Identifiers
ISBN: 978-3-319-48278-1
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Structures
Research group Technologies de formation et d'apprentissage (TECFA)
Project FNS: Fine-Grained Evaluation of the Interactive Narrative Experience
Citation
(ISO format)
SZILAS, Nicolas, ESTUPINAN VESGA, Sergio, RICHLE, Urs Michael. Qualifying and Quantifying Interestingness in Dramatic Situations. In: Nack, F. & Gordon, A. S. (Ed.). Interactive Storytelling. 9th International Conference on Interactive Digital Storytelling, ICIDS 2016. Los Angeles. Cham : Springer, 2016. (Lecture Notes in Computer Sciences; 10045) https://archive-ouverte.unige.ch/unige:91113

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Deposited on : 2017-01-17

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