Melanie Porzenheim

Papers

1

Total Citations

15

H-Index

1

About

Melanie Porzenheim investigates the intersection of human factors and robotics, with a primary focus on safety in human-robot interaction (HRI). Her key research areas include involuntary human motion, startle-surprise responses, and user training protocols to mitigate collision risks. Porzenheim’s most cited work, “Involuntary Motion in Human-Robot Interaction: Effect of Interactive User Training on the Occurrence of Human Startle-Surprise Motion” (2021, 15 citations), demonstrates that high relative velocities between robots and humans can trigger rapid, involuntary startle-surprise motions—a critical safety hazard. She shows that habituation through interactive user training significantly reduces these arousal-driven reactions, offering a practical pathway to safer collaborative robotics. This contribution is notable for bridging cognitive psychology and engineering, providing evidence-based design guidelines for robot speed and user preparation. With 15 citations, her work is gaining traction among HRI safety researchers. Porzenheim’s research is essential for developing robots that can work alongside humans without provoking dangerous reflexive movements, making her a rising voice in the effort to create intuitive, trustworthy, and physically safe human-robot teams.

Research Focus

Key Achievements

1
H-Index
1
Papers
15
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Involuntary Motion in Human-Robot Interaction: Effect of Interactive User Training on the Occurrence of Human Startle-Surprise Motion
15 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago