Christina Steele
Papers
1
Total Citations
4
H-Index
1
About
Christina Steele is a researcher in human-robot interaction, with a focus on collaborative learning and educational robotics. Her work examines how robots can serve as social learners in dyadic teaching scenarios, exploring the dynamics between human instructors and robot students. In her most-cited paper, "It Takes Two: Examining the Effects of Collaborative Teaching of a Robot Learner" (2022), Steele investigates how the presence of a robot learner influences teaching behaviors and outcomes, contributing to the design of more effective, socially-aware robotic systems. Though early in her career, her research has already garnered attention for its novel approach to understanding bidirectional learning in human-robot teams. Steele’s work sits at the intersection of cognitive science, education, and robotics, offering insights into how robots can be integrated into learning environments as active participants rather than passive tools. Her findings have implications for developing robots that can adapt to human teaching strategies, fostering more natural and productive collaborations. As the field of social robotics grows, Steele’s contributions are paving the way for more intuitive and responsive robotic partners in education and beyond.
Research Focus
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Top Papers
- 1