Guillaume Dubuisson Duplessis
Papers
4
Total Citations
64
H-Index
4
About
Guillaume Dubuisson Duplessis is a leading researcher in social robotics, specializing in human-robot interaction (HRI) and the computational modeling of social signals. His work centers on understanding and enabling robots to perceive, interpret, and respond to nuanced human behaviors, particularly humor, laughter, and emotional cues. A key contribution is his pioneering empirical study of humor support in HRI, demonstrating how robots can recognize and reciprocate laughter to foster positive, engaging interactions—a finding with 17 citations. His most cited work (36 citations) from the Joker project involved collecting a multimodal dataset of human-robot humorous exchanges, highlighting laughter as a critical social marker for building rapport. Duplessis also investigates behavioral and emotional spoken cues related to mental states, advancing context-aware approaches to assess user engagement. His research has significant implications for designing socially intelligent robots capable of natural, empathetic communication. By bridging affective computing and dialogue systems, Duplessis’s work lays the groundwork for robots that can genuinely connect with humans, making him a notable figure in the quest for more human-like artificial social agents.
Research Focus
Key Achievements
Top Papers
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- 2Empirical Study of Humor Support in Social Human-Robot Interaction17 citations · 2016
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