Susana Zoghbi
Papers
4
Total Citations
3,075
H-Index
4
About
Susana Zoghbi is a pioneering researcher in human-robot interaction (HRI), whose work has fundamentally shaped how we measure and understand the dynamics between humans and robots. Her most influential contribution is the development of standardized measurement instruments for key HRI concepts—anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety—a framework that has garnered over 3,000 citations and become an essential toolkit for researchers worldwide. Zoghbi’s research focuses on creating reliable, comparable metrics to evaluate robotic systems, addressing a critical need for consistency in the field. She has also explored cooperative manipulation, investigating how robots can physically assist humans in tasks like moving heavy objects, and delved into affective state estimation, using on-line reporting devices to assess user emotions during interactions. Her work on physiological-signal based communication further advances collaborative HRI by enabling robots to respond to human emotional cues in real time. Through these contributions, Zoghbi has laid the groundwork for safer, more intuitive, and emotionally aware robotic systems, making her a key figure in the evolution of socially intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Measuring intent in human-robot cooperative manipulation21 citations · 2009
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