Linda Onnasch
Humboldt-Universität zu Berlin, Technische Universität Berlin
Papers
32
Total Citations
1,099
H-Index
14
About
Linda Onnasch is a prominent researcher in human-robot interaction (HRI), with a particular focus on anthropomorphism, trust, and the design principles that shape how humans perceive and collaborate with robotic systems. Her work has garnered substantial academic recognition, accumulating nearly 1,000 citations across her most influential publications. Onnasch's landmark contributions include a widely cited meta-analysis (245 citations) that systematically examined the conditions under which anthropomorphic design features either benefit or hinder HRI, providing much-needed clarity in a field rife with contradictory findings. Complementing this, her taxonomy of human-robot interaction (220 citations) offers researchers and practitioners a structured framework for analyzing the growing diversity of robotic applications and interaction scenarios. A recurring theme throughout her research is context sensitivity — her work consistently demonstrates that preferences for robot anthropomorphism are shaped by application domain, type of failure, and even language use. Her investigations span industrial settings, social robotics, and care environments, revealing nuanced relationships between robot appearance, trust, attention, and user behavior. By bridging theoretical frameworks with empirical studies, Onnasch has significantly advanced our understanding of how intentional robot design choices translate into real human responses, making her work essential reading for anyone entering the field of human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2A Taxonomy to Structure and Analyze Human–Robot Interaction220 citations · 2020
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