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2016 | OriginalPaper | Buchkapitel

Predicting User Choices in Interactive Narratives Using Indexter’s Pairwise Event Salience Hypothesis

verfasst von : Rachelyn Farrell, Stephen G. Ware

Erschienen in: Interactive Storytelling

Verlag: Springer International Publishing

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Abstract

Indexter is a plan-based model of narrative that incorporates cognitive scientific theories about the salience 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 the salience of past events. Specifically, we investigate the hypothesis that when users are given a choice between two events in an interactive narrative, they are more likely to choose the one which makes the previous events in the story more salient according to this theory.

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Vorheriges Kapitel Asking Hypothetical Questions About Stories Using QUEST

Nächstes Kapitel An Active Analysis and Crowd Sourced Approach to Social Training

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Titel: Predicting User Choices in Interactive Narratives Using Indexter’s Pairwise Event Salience Hypothesis
verfasst von: Rachelyn Farrell
Stephen G. Ware
Verlag: Springer International Publishing
Buch: Interactive Storytelling
Print ISBN: 978-3-319-48278-1

Electronic ISBN: 978-3-319-48279-8

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-48279-8_13

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