Michael Tsang
Papers
1
Total Citations
5
H-Index
1
About
Michael Tsang is a researcher whose work sits at the intersection of human-robot interaction and child psychology, with a particular focus on using technology to address social challenges. His most notable contribution, the 2017 paper "Comparing models for gesture recognition of children's bullying behaviors," has garnered 5 citations and represents a pioneering effort in applying gesture recognition to classify natural physical bullying behaviors among children. In this work, Tsang developed a humanoid robot capable of identifying basic physical bullying gestures through hand-coded recognition, and programmed it to respond by explaining the inappropriateness of such actions. This innovative approach not only demonstrates the potential of social robots as educational tools but also opens new avenues for studying and intervening in childhood aggression. Tsang's research is characterized by its interdisciplinary nature, bridging robotics, computer vision, and developmental psychology to create tangible solutions for real-world problems. His work stands as a meaningful step toward leveraging technology for social good, particularly in contexts where traditional intervention methods may fall short.
Research Focus
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Top Papers
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