DFKI-LT - 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
Enhancing Animated Agents in an Instrumented Poker Game
in: Andreas Dengel, K. Berns, Thomas Breuel, Frank#Bomarius, Thomas Roth-Berghofer (eds.):
4 KI 2008: Advances in Artificial Intelligence volume 5243,
Lecture Notes in Artificial Intelligence, Pages 316-323, Kaiserslautern, Germany, 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.
Files: BibTeX, 978-3-540-85845-4_39, CEndres_12.pdf