Jan Leusmann
Papers
7
Total Citations
33
H-Index
4
About
Jan Leusmann is an emerging researcher whose work sits at the intersection of human-robot interaction (HRI), collaborative robotics, and intelligent system design. His research consistently tackles practical challenges in making robots more natural, intuitive, and safe partners for humans in everyday environments. Leusmann's most recognized contribution is his development of a comprehensive database for kitchen objects that examines how perceived danger influences human-robot collaboration — a study that has already garnered 8 citations and addresses a frequently overlooked variable in cobot design. He has pioneered investigations into robot curiosity, exploring how large language models can imbue robots with curious, socially engaging behaviors, and developed the Perceived System Curiosity Scale (PSC), a validated psychometric instrument for measuring how users perceive curiosity in AI systems — filling a notable gap in the field's methodological toolkit. His work on human-robot handovers examines timing, proxemics, and danger perception to optimize seamless object transfer, while his research on active smart assistants envisions proactive AI companions that anticipate user needs. Across roughly 33 total citations and multiple 2025 publications, Leusmann is rapidly establishing himself as a thoughtful voice in designing robots that feel genuinely human-aware.
Research Focus
Key Achievements
Top Papers
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- 2Investigating LLM-Driven Curiosity in Human-Robot Interaction7 citations · 2025
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