Marco Mosconi
Papers
1
Total Citations
101
H-Index
1
About
Marco Mosconi is a leading researcher in human-robot interaction, with a particular focus on designing social robots that can sustain long-term engagement with young users. His most cited work, "Towards Long-Term Social Child-Robot Interaction: Using Multi-Activity Switching to Engage Young Users" (2015, 101 citations), addresses a critical challenge in the field: maintaining children’s interest and participation over extended interactions. Mosconi’s key contribution lies in demonstrating how multi-activity switching—alternating between different tasks and play scenarios—can prevent user fatigue and foster deeper, more meaningful bonds between children and robots. This research has significant implications for educational and therapeutic applications, where consistent engagement is essential for learning and behavioral change. By providing a framework for designing adaptive, child-friendly robotic systems, Mosconi has helped pave the way for robots that can serve as tutors, companions, and intervention tools. His work is widely cited by scholars exploring social robotics, child-computer interaction, and assistive technologies, underscoring its lasting impact on how we build robots that truly connect with young people.
Research Focus
Key Achievements
Top Papers
- 1