About

Elisabetta Zibetti is a cognitive scientist and human-robot interaction (HRI) researcher whose work bridges robotics, psychology, and education. Her research spans several interconnected domains: social robotics, personality and trust in HRI, swarm robotics communication, and educational robotics. Among her most influential contributions is her 2016 study on trust as an indicator of robot acceptance (196 citations), which demonstrated how users conform to robot responses—offering critical insights into the social dynamics between humans and machines. Alongside this, her work on individual factors such as extroversion and attitudes toward robots in shaping engagement behaviors (109 citations) has helped establish more personalized, psychologically grounded models of HRI. Zibetti has also advanced the field of swarm robotics by investigating how groups of robots can expressively and coherently convey information to human operators—addressing a crucial gap in human-swarm interaction. In educational contexts, her research on robotics kits and children's learning strategies has informed pedagogical approaches to STEM education across multiple countries. Through a body of work that is both experimentally rigorous and practically oriented, Zibetti has made lasting contributions to our understanding of how humans perceive, trust, and learn alongside robotic systems.

Research Focus

Key Achievements

11
H-Index
21
Papers
550
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Trust as indicator of robot functional and social acceptance. An experimental study on user conformation to iCub answers
196 citations · 2016
📈 Most Prolific Year: 2015 (7 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Cité des Sciences et de l'Industrie, Laboratoire Cognitions Humaine et Artificielle, Université Paris 8, École Pratique des Hautes Études

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago