Analysis of bluffing behavior in human-humanoid poker game

Authors:
Min-Gyu Kim;Kenji Suzuki
Affiliations:
Dept. of Intelligent Interaction Technologies, University of Tsukuba, Tsukuba, Japan;Dept. of Intelligent Interaction Technologies, University of Tsukuba, Tsukuba, Japan
Venue:
ICSR'11 Proceedings of the Third international conference on Social Robotics
Year:
2011

Citing 5
Cited 0

An iterative design methodology for user-friendly natural language office information applications

ACM Transactions on Information Systems (TOIS)
Are physically embodied social agents better than disembodied social agents?: The effects of physical embodiment, tactile interaction, and people's loneliness in human-robot interaction

International Journal of Human-Computer Studies
Spontaneous vs. posed facial behavior: automatic analysis of brow actions

Proceedings of the 8th international conference on Multimodal interfaces
Body movement analysis of human-robot interaction

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A card playing humanoid for understanding socio-emotional interaction

ICEC'10 Proceedings of the 9th international conference on Entertainment computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.