Matthew Burdelski
Saitama University, Swarthmore College, The University of Osaka
Papers
4
Total Citations
243
H-Index
4
About
Matthew Burdelski is a leading researcher in human-robot interaction (HRI), with a focus on the nuanced coordination of verbal and non-verbal communication. His work explores how robots can use embodied resources—such as precise timing, gaze, and bodily conduct—to interact more naturally with humans. A key contribution is his 2008 paper on "Precision timing in human-robot interaction," which has garnered 131 citations and demonstrates how subtle non-verbal cues like face and head movements are critical for effective HRI. Burdelski has also investigated robot behavior in real-world settings, including museums and elderly day care, where his 2007 study on prior-to-request and request behaviors (53 citations) offers insights for developing service robots in multiparty environments. His cross-linguistic work, such as the quiz robot experiment comparing Japanese and English speakers, further highlights his commitment to understanding cultural and contextual factors in interaction. By bridging conversation analysis and robotics, Burdelski’s research lays essential groundwork for designing robots that can seamlessly collaborate with humans in social, care, and educational contexts.
Research Focus
Key Achievements
Top Papers
- 1Precision timing in human-robot interaction131 citations · 2008
- 2
- 3
- 4Interactions between a quiz robot and multiple participants4 citations · 2013