Silvia Tulli

Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento

Papers

Total Citations

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About

Silvia Tulli is a researcher at the intersection of human-robot interaction, creativity support, and explainable AI. Her work explores how social robots can serve as collaborative peers to spark human creativity, as demonstrated in her design and evaluation of a robot for collaborative drawing tasks. Tulli’s research also critically examines the gap between academic expectations and industrial realities in social robotics, highlighting the paradox of aborted business initiatives. More recently, she has focused on explainability in autonomous pedagogical agents, investigating how robots can transparently communicate their decision-making processes—especially by revealing suboptimality—to build trust and improve learning outcomes in child-robot scenarios. With over 29 citations across her most-cited works, Tulli’s contributions are shaping the design of more effective, transparent, and creativity-enhancing robotic systems. Her work is particularly notable for bridging technical development with user-centered design, offering practical insights for researchers and practitioners aiming to deploy social robots in educational and collaborative settings.