Tracery: An Author-Focused generative text tool

Kate Compton*, Ben Kybartas, Michael Mateas

*Corresponding author for this work

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

49 Scopus citations


New communities of generative text practitioners are flourishing in novel expressive mediums like Twitterbots and Twine as well as the existing practices of Interactive Fiction. However, there are not yet reusable and extensible generative text tools that work for the needs of these communities. Tracery is an author-focused generative text tool, intended to be used by novice and expert authors, and designed to support generative text creation in these growing communities, and future ones. We identify the design considerations necessary to serve these new generative text authors, like data portability, modular design, and additive authoring, and illustrate how these considerations informed the design of the Tracery language. We also present illustrative case studies of existing projects that use Tracery as part of the art creation process.

Original languageEnglish (US)
Title of host publicationInteractive Storytelling - 8th International Conference on Interactive Digital Storytelling, ICIDS 2015, Proceedings
EditorsSandy Louchart, Henrik Schoenau-Fog, Luis Emilio Bruni, Sarune Baceviciute
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783319270357
StatePublished - 2015
Externally publishedYes
Event8th International Conference on Interactive Digital Storytelling, ICIDS 2015 - Copenhagen, Denmark
Duration: Nov 30 2015Dec 4 2015

Publication series

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


Conference8th International Conference on Interactive Digital Storytelling, ICIDS 2015

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Tracery: An Author-Focused generative text tool'. Together they form a unique fingerprint.

Cite this