Joshua Hanson
Papers
1
Total Citations
7
H-Index
1
About
Joshua Hanson is a pioneering researcher at the intersection of educational technology, developmental psychology, and human-robot interaction. His work fundamentally explores how robotic agents can serve as tools for learning and for investigating cognitive development in young children. His most influential contribution, the 2006 paper "Educational Robots: Three Models for the Research of Learning Theories and Human-Robot Interaction," has garnered 7 citations and established a foundational framework for the field. In this landmark study, Hanson collaborated with the Tulane Electrical Engineering and Computer Science department and UNO graduate students in education and developmental psychology to conduct experiments with young children using robotic agents. By integrating insights from AI robotics with developmental psychology, he demonstrated how robots can model learning theories and facilitate new forms of interactive education. This interdisciplinary approach has shaped subsequent research on child-robot interaction and educational robotics. Hanson’s work remains a touchstone for researchers seeking to understand how embodied, autonomous systems can enhance learning and reveal the mechanisms of human cognition.
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Top Papers
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