Lara Naendrup-Poell

Technische Universität Berlin

Papers

3

Total Citations

74

H-Index

2

About

Lara Naendrup-Poell investigates the intersection of human-robot interaction (HRI) and social cognition, with a focus on how design features like anthropomorphism, gender attribution, and predictive cues shape user experience. Her most cited work, “Why Context Matters” (69 citations), demonstrates that the ideal degree of a robot’s human-likeness is highly dependent on the application domain—challenging one-size-fits-all design assumptions. She further explores how subtle visual signals, such as predictive robot eyes, can enhance attentional guidance and trust in cooperative tasks (2025). In a novel contribution to industrial robotics, Naendrup-Poell examines gender encoding in non-social robots, finding that even utilitarian machines are often assigned male or female cues, yet these attributions yield no significant performance differences. Her research bridges cognitive psychology and engineering, offering practical insights for designing robots that are both functional and socially appropriate. With a growing citation record and work published in leading HRI venues, Naendrup-Poell is shaping how we think about context, gender, and nonverbal communication in autonomous systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
74
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Why Context Matters: The Influence of Application Domain on Preferred Degree of Anthropomorphism and Gender Attribution in Human–Robot Interaction
69 citations · 2022
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technische Universität Berlin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago