Sabrina Castellano

Papers

Total Citations

H-Index

About

Sabrina Castellano is a rising researcher at the intersection of cognitive science and human-robot interaction (HRI), whose work explores how social robots can alleviate mental demands during complex tasks. Her most-cited paper, “How Human–Robot Interaction Can Influence Task Performance and Perceived Cognitive Load at Different Support Conditions” (2025, 5 citations), investigates how robotic assistance modulates cognitive load—the finite mental resources required for multitasking. Castellano’s key contribution lies in demonstrating that tailored robot support can enhance task performance while reducing perceived mental strain, offering a framework for designing more effective collaborative robots. Although early in her career, her findings have implications for assistive technologies in workplaces, education, and rehabilitation, where managing cognitive overload is critical. Castellano’s work bridges experimental psychology and robotics, providing empirical evidence that social robots can serve as cognitive partners rather than mere tools. Her research is gaining traction among HRI and human-factors communities, positioning her as a promising voice in the effort to create adaptive, human-centered robotic systems that respond to users’ cognitive states.