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University of New Orleans Theses and Dissertations

2017

Indexter, computational models of narrative, salience, planning, artificial intelligence, interactive storytelling

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Predicting User Choices In Interactive Narratives Using Indexter's Pairwise Event Salience Hypothesis, Rachelyn Farrell May 2017

Predicting User Choices In Interactive Narratives Using Indexter's Pairwise Event Salience Hypothesis, Rachelyn Farrell

University of New Orleans Theses and Dissertations

Indexter is a plan-based model of narrative that incorporates cognitive scientific theories about the salience—or prominence in memory—of narrative events. A pair of Indexter events can share up to five indices with one another: protagonist, time, space, causality, and intentionality. The pairwise event salience hypothesis states that when a past event shares one or more of these indices with the most recently narrated event, that past event is more salient, or easier to recall, than an event which shares none of them. In this study we demonstrate that we can predict user choices based on …