Stefano Magoni
Papers
1
Total Citations
25
H-Index
1
About
Stefano Magoni is a leading researcher in human–robot interaction, with a focus on the psychological and physiological dynamics of collaborative robotics. His work explores how role assignment—particularly leader–follower dynamics—shapes human experience and performance in dyadic human–robot synchronization. In his highly cited 2020 study, "On the Effects of Leader–Follower Roles in Dyadic Human–Robot Synchronization" (25 citations), Magoni demonstrated that the role taken by a robot during a collaborative task significantly influences a human partner’s psychophysiological responses, including stress, engagement, and coordination. This foundational research has been pivotal in advancing the design of collaborative robots (cobots) that are not only functionally effective but also psychologically attuned to human partners. By bridging robotics, cognitive science, and affective computing, Magoni’s contributions have informed the development of more intuitive and socially aware robotic systems. His work is widely cited in the growing field of human–robot teamwork, and he is recognized for bringing empirical rigor to the study of how robots can adapt their social roles to improve human trust and collaboration.
Research Focus
Key Achievements
Top Papers
- 1