Salience as a Narrative Planning Step Cost Function

Stephen G. Ware, Rachelyn Farrell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Psychological research has demonstrated that as we experience a story several features affect the salience of its events in memory. These features correspond to who? where? when? how? and why? questions about those events. Computational models of salience have been used in interactive narratives to measure which events people most easily remember from the past and which they expect more readily from the future. We use three example domains to show that events in sequences that are solutions to narrative planning problems are generally more salient with each other, and events in non-solution sequences are less salient with each other. This means that measuring the salience of a sequence of actions during planning can serve as an efficient cost function to improve the speed, and perhaps also the quality, of a narrative planner.

Original languageEnglish
Title of host publication2022 IEEE Conference on Games, CoG 2022
Pages433-440
Number of pages8
ISBN (Electronic)9781665459891
DOIs
StatePublished - 2022
Event2022 IEEE Conference on Games, CoG 2022 - Beijing, China
Duration: Aug 21 2022Aug 24 2022

Publication series

NameIEEE Conference on Computatonal Intelligence and Games, CIG
Volume2022-August
ISSN (Print)2325-4270
ISSN (Electronic)2325-4289

Conference

Conference2022 IEEE Conference on Games, CoG 2022
Country/TerritoryChina
CityBeijing
Period8/21/228/24/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • narrative
  • planning
  • salience
  • search

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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