Maxim Makatchev
Papers
12
Total Citations
248
H-Index
9
About
Maxim Makatchev is a pioneering researcher in human-robot interaction, with a focus on creating believable, culturally-aware robot characters. His work bridges robotics, dialogue systems, and social psychology to design robots that engage users naturally and effectively. Makatchev’s most cited paper, “Believable Robot Characters” (2011, 55 citations), argues that evoking social responses through character design enhances task performance in human-robot interaction. He further explored real-world dialogue patterns in “How do people talk with a robot?” (2009, 42 citations), analyzing logs from the Roboceptionist to understand user interaction dynamics. A major contribution is his development of Hala, a bilingual Arabic-English robot receptionist at Carnegie Mellon University in Qatar, detailed in multiple papers (e.g., 2010, 21+ citations). This work addresses ethnic homophily and cultural sensitivity, as seen in “Expressing ethnicity through behaviors of a robot character” (2013, 26 citations), which investigates how robot behaviors can foster user similarity and trust. Makatchev also contributed to technical robotics with early work on agent-based interfaces (2002, 35 citations) and cross-coupling control for mobile robots (2000, 9 citations). His research has significantly advanced the design of socially adept robots for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Believable Robot Characters55 citations · 2011
- 2How do people talk with a robot?42 citations · 2009
- 3
- 4Expressing ethnicity through behaviors of a robot character26 citations · 2013
- 5Dialogue patterns of an arabic robot receptionist21 citations · 2010
- 6Expressing ethnicity through behaviors of a robot character18 citations · 2013
- 7Dialogue patterns of an Arabic robot receptionist16 citations · 2010
- 8Dialogue patterns of an arabic robot receptionist11 citations · 2010
- 9Relating initial turns of human-robot dialogues to discourse9 citations · 2009
- 10