Stefano Boriero
Papers
2
Total Citations
15
H-Index
2
About
Stefano Boriero is a researcher at the intersection of human-robot interaction and competitive robotics, with a focus on how machines can strategically influence human perception. His work explores the cognitive and behavioral dynamics of physical, competitive games between humans and robots. Boriero’s most notable contribution is his 2020 paper, "Deceptive Actions to Improve the Attribution of Rationality to Playing Robotic Agents," which has garnered 13 citations. In this work, he investigates how robotic agents can employ deceptive behaviors to make themselves appear more rational and intentional to human opponents—a key insight for designing engaging, believable AI opponents. His related research on robot player adaptation (2 citations) addresses the critical challenge of online skill-matching, ensuring that a robot can dynamically adjust its performance to match a human opponent’s evolving ability, thereby maintaining game interest and fairness. Boriero’s work is significant for advancing the design of socially intelligent robots that can participate in nuanced, competitive interactions, with implications for entertainment, training, and collaborative robotics. His findings help bridge the gap between raw machine performance and human-like strategic play.
Research Focus
Key Achievements
Top Papers
- 1
- 2