Mariapia Sangineto
Papers
1
Total Citations
2
H-Index
1
About
Mariapia Sangineto is a researcher at the intersection of developmental robotics and human-robot interaction, with a focus on how children engage with social robots in collaborative learning contexts. Her work investigates the cognitive and social strategies children employ when receiving advice from robots like iCub and Nao during group tasks, shedding light on how robotic agents can influence decision-making, trust, and teamwork in educational settings. Her most-cited paper, “Exploring Children’s Strategies in Response to Robot’s Advice During a Group Task with iCub and Nao” (2025), has garnered early attention with 2 citations, reflecting growing interest in her novel approach to studying child-robot dynamics. Sangineto’s contributions are particularly notable for their emphasis on real-world, ecologically valid scenarios—moving beyond lab-based experiments to understand how children negotiate advice from non-human peers. Her work has implications for designing adaptive educational robots that support social learning, and she is recognized for bridging developmental psychology and robotics. As a rising voice in the field, Sangineto’s research promises to inform the next generation of interactive, child-centered AI systems.
Research Focus
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Top Papers
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