Four quantitative metrics describing narrative conflict

Stephen G. Ware, R. Michael Young, Brent Harrison, David L. Roberts

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

16 Scopus citations


Conflict is an essential element of interesting stories. In previous work, we proposed a formal model of narrative conflict along with 4 quantitative dimensions which can be used to distinguish one conflict from another based on context: balance, directness, intensity, and resolution. This paper presents the results of an experiment designed to measure how well these metrics predict the responses of human readers when asked to measure these same values in a set of four stories. We conclude that our metrics are able to rank stories similarly to human readers for each of these four dimensions.

Original languageEnglish
Title of host publicationInteractive Storytelling - 5th International Conference, ICIDS 2012, Proceedings
Number of pages12
StatePublished - 2012
Event5th International Conference on Interactive Digital Storytelling, ICIDS 2012 - San Sebastian, Spain
Duration: Nov 12 2012Nov 15 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7648 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th International Conference on Interactive Digital Storytelling, ICIDS 2012
CitySan Sebastian


  • conflict
  • metrics
  • narrative
  • planning

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Four quantitative metrics describing narrative conflict'. Together they form a unique fingerprint.

Cite this