International Conference on Interactive Digital Storytelling

Interactive Storytelling pp 154-161

Tracery: An Author-Focused Generative Text Tool

Conference paper

DOI: 10.1007/978-3-319-27036-4_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9445)
Cite this paper as:
Compton K., Kybartas B., Mateas M. (2015) Tracery: An Author-Focused Generative Text Tool. In: Schoenau-Fog H., Bruni L., Louchart S., Baceviciute S. (eds) Interactive Storytelling. Lecture Notes in Computer Science, vol 9445. Springer, Cham

Abstract

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.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Computational MediaUC Santa CruzSanta CruzUSA
  2. 2.Department of Intelligent SystemsTU DelftDelftThe Netherlands

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