Enhancing Animated Agents in an Instrumented Poker Game

Authors:
Marc Schröder;Patrick Gebhard;Marcela Charfuelan;Christoph Endres;Michael Kipp;Sathish Pammi;Martin Rumpler;Oytun Türk
Affiliations:
DFKI, Saarbrücken and Berlin, Germany;DFKI, Saarbrücken and Berlin, Germany;DFKI, Saarbrücken and Berlin, Germany;DFKI, Saarbrücken and Berlin, Germany;DFKI, Saarbrücken and Berlin, Germany;DFKI, Saarbrücken and Berlin, Germany;FH Trier, Birkenfeld, Germany;DFKI, Saarbrücken and Berlin, Germany
Venue:
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Year:
2008

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Abstract

In this paper we present an interactive poker game in which one human user plays against two animated agents using RFID-tagged poker cards. The game is used as a showcase to illustrate how current AI technologies can be used for providing new features to computer games. A powerful and easy-to-use multimodal dialog authoring tool is used for modeling game content and interaction. The poker characters rely on a sophisticated model of affect and a state-of-the art speech synthesizer. Through the combination of these methods, the characters show a consistent expressive behavior that enhances the naturalness of interaction in the game.