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Enhancing Animated Agents in an Instrumented Poker Game

Identifieur interne : 001139 ( Istex/Corpus ); précédent : 001138; suivant : 001140

Enhancing Animated Agents in an Instrumented Poker Game

Auteurs : Marc Schröder ; Patrick Gebhard ; Marcela Charfuelan ; Christoph Endres ; Michael Kipp ; Sathish Pammi ; Martin Rumpler ; Oytun Türk

Source :

RBID : ISTEX:671E4FE812BD75508BF384D1CF7A96D08CF34A1D

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

Links to Exploration step

ISTEX:671E4FE812BD75508BF384D1CF7A96D08CF34A1D

Le document en format XML

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<abstract 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. 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.</abstract>
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