Skip to main content

The Authoring Challenge in Interactive Storytelling

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 6432)


Artificial Intelligence methods open up new possibilities in interactive storytelling, enabling the creation of believable characters with rich personalities and emotions, interactive story systems that incorporate player interaction into the construction of dynamic plots, and story generation systems that capture large and well-formed collections of potential stories. The goal of these approaches is not to replace human authorship, but rather to move human authorship to a meta-level, and thus to support a richness and depth of player interaction that is not otherwise possible. However, there are significant authoring challenges in creating AI-based interactive stories. This talk will describe current research efforts to support authors in telling stories in this new medium.


  • Computer Science Department
  • Intelligence Method
  • Artificial Intelligence Method
  • Current Research Effort
  • Procedural Content

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Author information

Authors and Affiliations


Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mateas, M. (2010). The Authoring Challenge in Interactive Storytelling. In: Aylett, R., Lim, M.Y., Louchart, S., Petta, P., Riedl, M. (eds) Interactive Storytelling. ICIDS 2010. Lecture Notes in Computer Science, vol 6432. Springer, Berlin, Heidelberg.

Download citation

  • DOI:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16637-2

  • Online ISBN: 978-3-642-16638-9

  • eBook Packages: Computer ScienceComputer Science (R0)