RST as narrative structure for node-based editors

Cameron Edmond*, Rob Lawther, Maxime Cordeil, Tomasz Bednarz

*Corresponding author for this work

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

Abstract

Despite Narrative Visualisation's (NarVis) proliferation in academic circles, a narrative structure designed to suit the individual challenges and needs of the discipline is yet to mature. We present both a structure and tool for NarVis that remediates narrative form and concepts using Rhetorical Structure Theory (RST). Through RST, we develop a dynamic narrative structure that avoids many of the trappings of traditional narratives. Our RST-based structure has been implemented as a node-based editor, itself part of a broader tool for generating dynamic narrative visualisations. We discuss this tool's theoretical foundations, its implementation, and demonstrate it through a narrative about COVID-19. This paper marks an important step towards establishing a clearer view of the narrative elements of NarVis.

Original languageEnglish
Title of host publication14th International Symposium on Visual Information Communication and Interaction, VINCI 2021
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages1-5
Number of pages5
ISBN (Electronic)9781450386470
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event14th International Symposium on Visual Information Communication and Interaction, VINCI 2021 - Potsdam, Germany
Duration: 6 Sept 20218 Sept 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference14th International Symposium on Visual Information Communication and Interaction, VINCI 2021
Country/TerritoryGermany
CityPotsdam
Period6/09/218/09/21

Keywords

  • Computational Linguistics
  • Narrative Visualisation
  • Narratology

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