Enhancing Animated Agents in an Instrumented Poker Game
Identifieur interne : 000043 ( LNCS/Analysis ); précédent : 000042; suivant : 000044Enhancing Animated Agents in an Instrumented Poker Game
Auteurs : Marc Schröder [Allemagne] ; Patrick Gebhard [Allemagne] ; Marcela Charfuelan [Allemagne] ; Christoph Endres [Allemagne] ; Michael Kipp [Allemagne] ; Sathish Pammi [Allemagne] ; Martin Rumpler [Allemagne] ; Oytun Türk [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
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.
Url:
DOI: 10.1007/978-3-540-85845-4_39
Affiliations:
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ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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. 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