Samuel Shuster
Papers
1
Total Citations
124
H-Index
1
About
Dr. Samuel Shuster is a pioneering researcher at the intersection of human-robot interaction and childhood education, with a primary focus on socially assistive robotics. His most influential work, "How to train your DragonBot," demonstrates how interactive robots can serve as engaging pedagogical tools for teaching young children about nutrition through play. In this landmark study, Shuster and his team deployed the DragonBot robot across six sessions with 26 ethnically and geographically diverse first-graders, revealing remarkably high levels of child engagement and enjoyment—a finding that has garnered 124 citations and shaped subsequent designs for educational robotics. His contributions extend beyond technical development to understanding how robots can foster long-term behavioral change in children, bridging the gap between artificial intelligence and developmental psychology. Shuster’s research has significant implications for addressing childhood obesity and promoting healthy habits through technology, positioning him as a key figure in the growing field of child-robot interaction. His work continues to inspire new approaches to automated, personalized education.
Research Focus
Key Achievements
Top Papers
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