Abstract
Indexter is a plan-based computational model of narrative discourse which leverages cognitive scientific theories of how events are stored in memory during online comprehension. These discourse models are valuable for static and interactive narrative generation systems because they allow the author to reason about the audience's understanding and attention as they experience a story. A pair of Indexter events can share up to five indices: protagonist, time, space, causality, and intentionality. We present the first in a planned series of evaluations that will explore increasingly nuanced method of using these indices to predict salience. The Pairwise Event Salience Hypothesis states that when a past event shares one or more indices with the most recently narrated event, that past event is more salient than one which shares no indices with the most recently narrated event. A crowd-sourced (n = 200) study of 24 short text stories that control for content, text, and length supports this hypothesis. While this is encouraging, we believe it also motivates the development of a richer model that accounts for intervening events, narrative complexity, and episodic memory decay.
Original language | English |
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Title of host publication | Proceedings of the 11th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2015 |
Pages | 30-36 |
Number of pages | 7 |
ISBN (Electronic) | 9781577357407 |
State | Published - 2015 |
Event | 11th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2015 - Santa Cruz, United States Duration: Nov 14 2015 → Nov 18 2015 |
Publication series
Name | Proceedings of the 11th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2015 |
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Volume | 2015-November |
Conference
Conference | 11th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2015 |
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Country/Territory | United States |
City | Santa Cruz |
Period | 11/14/15 → 11/18/15 |
Bibliographical note
Publisher Copyright:Copyright © 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
ASJC Scopus subject areas
- Artificial Intelligence
- Visual Arts and Performing Arts