Ilka van Zeijl
Papers
1
Total Citations
18
H-Index
1
About
Ilka van Zeijl is a leading researcher in social robotics, with a focus on how nonverbal cues and movement express robot personality. Her work bridges robotics, psychology, and movement analysis to design more natural, engaging human-robot interactions. Her most-cited paper, "Nonverbal Cues Expressing Robot Personality - A Movement Analysts Perspective" (2022, 18 citations), is a foundational contribution that systematically examines how gestures, posture, and motion patterns can convey consistent, human-like personality traits in social robots. Van Zeijl argues that for robots to be accepted in social contexts, their expressive behaviors must be coherent and predictable—much like human social cues. This research has implications for assistive robotics, education, and healthcare, where trust and rapport are essential. By integrating movement analysis into robot design, she offers a novel framework for creating robots that feel less mechanical and more relatable. Her work is increasingly cited by engineers and psychologists alike, marking her as a rising voice in the field of socially aware robotics.
Research Focus
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Top Papers
- 1