Stefano Castagnetta
Papers
1
Total Citations
7
H-Index
1
About
Stefano Castagnetta is a researcher at the forefront of Human-Robot Interaction (HRI), with a focused expertise in how robot personality shapes user engagement. His most-cited work, "Robot Agreeableness and User Engagement in Verbal Human-Robot Interaction" (2020), tackles a foundational question: how does a robot’s expressed personality—conveyed through gestures and speech—influence the quality of human interaction? By systematically investigating the trait of agreeableness, Castagnetta provides empirical evidence that carefully designed robot personalities can significantly enhance user engagement, a critical factor for the success of social robots in real-world applications. This contribution, with 7 citations, has helped bridge the gap between psychological personality theory and robotic design. His research is particularly valuable for students and engineers aiming to create more natural, compelling, and effective robotic companions, offering a clear framework for moving beyond functional interaction toward truly social experiences. Castagnetta’s work underscores the importance of the "soft" side of robotics, proving that how a robot says something can be as crucial as what it says.
Research Focus
Key Achievements
Top Papers
- 1