Enhancing Animated Agents in an Instrumented Poker Game

Marc Schröder, Patrick Gebhard, Marcela Charfuelan Oliva, Christoph Endres, Michael Kipp, Sathish Chandra Pammi, Martin Rumpler, Oytun Türk

In: Andreas Dengel , K. Berns , Thomas Breuel , Frank Bomarius , Thomas Roth-Berghofer (Hrsg.). KI 2008: Advances in Artificial Intelligence. German Conference on Artificial Intelligence (KI-2008) September 23-26 Kaiserslautern Germany Seiten 316-323 Lecture Notes in Artificial Intelligence (LNAI) 5243 Springer 2008.


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.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence