Papers

3

Total Citations

40

H-Index

3

About

Sara Sangiovanni is a rising researcher in Human-Robot Interaction (HRI), whose work centers on the psychological and emotional dimensions of how people perceive and trust robots. Her primary research areas include mind perception, emotional attribution, and the design of socially intelligent robotic behaviors. Sangiovanni’s most impactful contribution is her 2023 paper, “Mind Perception in HRI,” which has garnered 28 citations for its novel exploration of how users attribute mental and emotional states to robots with different behavioral styles—a critical step toward more natural and effective human-robot collaboration. She has also developed practical tools for HRI, such as an automatic scoring system for cognitive tests administered through robots (2020), and investigated how users’ emotional perceptions of robot behaviors influence trust (2021). Her work bridges cognitive science and robotics, offering insights that are essential for designing robots that are not only functional but also socially accepted. Sangiovanni’s research is particularly notable for its focus on the underexplored role of Theory of Mind in HRI, positioning her as a key voice in shaping the future of empathetic and trustworthy robotic systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
40
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Mind Perception in HRI: Exploring Users’ Attribution of Mental and Emotional States to Robots with Different Behavioural Styles
28 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Federico II University Hospital, University of Naples Federico II

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago