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About

Luke Plummer is a leading researcher in human-robot interaction, with a focus on leveraging social robotics to enhance education and pediatric healthcare. His work centers on the development and deployment of autonomous robotic companions that can adapt to the emotional and cognitive needs of children. Plummer’s most influential contribution is the concept of affective personalization, demonstrated in his highly cited 2016 study (306 citations), where he showed that a social robot tutor, by modulating a child’s emotional state, could significantly improve second-language learning outcomes. He further pioneered the use of robots to mitigate stress, anxiety, and pain in hospital settings (111 citations), addressing critical gaps in pediatric care. His long-term deployment of the Tega robot platform in preschool classrooms (46 citations) provided vital lessons for conducting HRI studies with young children, highlighting the importance of teacher collaboration. Plummer’s work on the expressive Tega platform (37 citations) has established a benchmark for designing engaging, “squash and stretch” robots capable of sustaining meaningful interactions over time. Through these achievements, Plummer has demonstrated how emotionally intelligent robots can serve as effective, scalable tools for supporting child development and well-being.