Daniela Graziani
Papers
1
Total Citations
4
H-Index
1
About
Daniela Graziani is a researcher at the intersection of child development, human-robot interaction, and digital learning technologies. Her work focuses on understanding how children engage with robotic and digital systems, particularly in educational and rehabilitative contexts. Her most cited paper, "Child engagement during interaction with digital and robotic activities: a systematic review" (2025, 4 citations), critically examines the rapid proliferation of remote learning and robotic tools, highlighting a crucial tension: while these technologies offer unprecedented opportunities for scalable intervention, they often reduce human interaction and real-time response control—factors essential for child development. Graziani’s systematic review synthesizes evidence on engagement metrics, providing a foundational framework for designing more responsive, child-centered robotic and digital activities. Her research is notable for its timely relevance, addressing the post-pandemic surge in remote technologies and their implications for young learners. By bridging developmental psychology with human-robot interaction, Graziani contributes to a growing body of work that seeks to ensure technological innovation does not come at the expense of meaningful human connection. Her findings are already informing the design of next-generation educational robots and digital platforms, making her a key voice in the ethical and effective deployment of technology for children.
Research Focus
Key Achievements
Top Papers
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