Tracery: Approachable story grammar authoring for casual users

Kate Compton, Benjamin Filstrup, Michael Mateas

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

11 Scopus citations

Abstract

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
Pages64-67
Number of pages4
ISBN (Electronic)9781577356899
StatePublished - 2014
Event2014 Electronic Literature Organization Conference, ELO 2014 - Milwaukee, United States
Duration: Jun 17 2014Jun 18 2014

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-14-21

Conference

Conference2014 Electronic Literature Organization Conference, ELO 2014
Country/TerritoryUnited States
CityMilwaukee
Period6/17/146/18/14

ASJC Scopus subject areas

  • General Engineering

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