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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Analysis of Bluffing Behavior in Human-Humanoid Poker Game
verfasst von : Min-Gyu Kim, Kenji Suzuki
Erschienen in: Social Robotics
Verlag: Springer Berlin Heidelberg
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This paper presents the analysis of human nonverbal responses and betting decision in terms of bluffing and the comparison between human-human poker game and human-robot poker game. According to a given situation manipulated with the card hand strength, we explored how different the participants change bluff decision between strong hand and weak hand and how different the participants use a bluff between a human-human and human-robot poker game. Furthermore, we analyzed the significant correlation between the card hand strength and human behaviors and obtained the regression model to predict the card hand strength from nonverbal behaviors and bluff decision.