Laura Donadoni

Papers

Total Citations

H-Index

About

Laura Donadoni is a researcher whose work bridges the fields of human-robot interaction and cognitive robotics, with a particular focus on how robotic agents can be perceived as more rational and socially intelligent. Her most-cited paper, "Deceptive Actions to Improve the Attribution of Rationality to Playing Robotic Agents" (2020, 13 citations), explores a fascinating and counterintuitive avenue: the use of strategic deception in robotic behavior to enhance human perceptions of the robot's decision-making capabilities. This contribution challenges conventional assumptions about transparency in AI, suggesting that subtle, context-aware "deception" can actually foster more natural and effective human-robot collaboration. Donadoni’s research is notable for its interdisciplinary approach, drawing on insights from psychology, game theory, and robotics to design agents that are not only functionally competent but also socially engaging. Her work has implications for the development of more intuitive and trustworthy robotic partners in domains like entertainment, education, and assistive technologies. Through her innovative studies, Donadoni is helping to redefine what it means for a robot to be "rational" in the eyes of its human counterparts.