Supporting Dialogue Generation for Story-Based Games

Authors

  • Christopher Kerr University of Alberta
  • Duane Szafron University of Alberta

Keywords:

Narrative and character development, Natural Language, Content Generation, Learning

Abstract

Providing compelling, realistic, immersive game worlds is one of the major goals in modern game design. The presence of unique and interesting dialogue for all of the characters in a game enhances this sense of immersion. In this paper we present the concept of an “Intentional Dialogue Line” that supports the efficient generation of multiple variations of a dialogue, where these variations are both unique and appropriate to the character who is speaking them. This paper focuses on how machine learning can be used to quickly polines with existing content.

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Published

2009-10-16

How to Cite

Kerr, C., & Szafron, D. (2009). Supporting Dialogue Generation for Story-Based Games. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 5(1), 154-160. Retrieved from https://ojs.aaai.org/index.php/AIIDE/article/view/12371