Teresa Davison

Papers

Total Citations

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About

Teresa Davison is a rising scholar in human-robot interaction, with a particular focus on collaborative learning dynamics between humans and robots. Her research examines how robots can function as effective learners in educational settings, exploring the pedagogical and social implications of bidirectional teaching. Davison’s most-cited work, “It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner” (2022), has garnered 4 citations and investigates how humans adjust their teaching strategies when a robot is positioned as a co-learner rather than a passive recipient of information. This foundational study contributes to the growing field of robot-assisted education, emphasizing the importance of interaction design in fostering productive human-robot partnerships. Davison’s work is notable for its interdisciplinary approach, bridging robotics, cognitive science, and education. While early in her career, her research has already informed discussions on adaptive learning technologies and the ethical design of social robots. As she continues to explore the nuances of collaborative human-robot teaching, Davison is poised to shape how future educational robots are designed to learn from—and with—people.