Tracery: Approachable story grammar authoring for casual users

Kate Compton, Benjamin Filstrup, Michael Mateas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations


We present Tracery, an authoring tool for casual users to build grammars to generate interesting stories. While many modern story generation systems work to maintain narrative causality, generative systems like Racter show that non-causal and even nonsensical systems also have expressive power. Using design principles of direct manipulation and flow, Tracery is designed to allow users to author more stories with greater ease, and fully explore the affordances of grammar-based story generation. A small pilot test of users were able to quickly author engaging stories, and praised the system for its fun and usability.

Original languageEnglish (US)
Title of host publicationIntelligent Narrative Technologies 7 - Papers from the 2014 Workshop, Technical Report
PublisherAI Access Foundation
Number of pages4
ISBN (Electronic)9781577356899
StatePublished - 2014
Externally publishedYes
Event2014 Electronic Literature Organization Conference, ELO 2014 - Milwaukee, United States
Duration: Jun 17 2014Jun 18 2014

Publication series

NameAAAI Workshop - Technical Report


Conference2014 Electronic Literature Organization Conference, ELO 2014
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Engineering(all)


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