Lucie Lilienthal
Papers
1
Total Citations
2
H-Index
1
About
Lucie Lilienthal is a researcher whose work sits at the fascinating intersection of human-robot interaction and workplace dynamics. Her key research areas include conversational flow, robot embodiment, and the social acceptance of collaborative robots. Lilienthal’s major contribution lies in her nuanced exploration of how robot form—specifically the distinction between humanoid and android robots—affects the naturalness and effectiveness of human-robot communication in professional settings. Her most-cited paper, "Conversational Flow in Human-Robot Interactions at the Workplace: Comparing Humanoid and Android Robots" (2020), provides foundational insights into how subtle differences in appearance and movement can either facilitate or disrupt the seamless exchange of dialogue, a critical factor for integrating robots into team environments. While her citation count is currently modest, this work represents an early, important step in understanding the social ergonomics of collaborative robotics. Lilienthal’s research is particularly relevant for designers and engineers aiming to create robots that feel like intuitive, unobtrusive colleagues rather than mechanical tools, highlighting the profound impact of design on human trust and cooperation.
Research Focus
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Top Papers
- 1