Eliana Colunga
Papers
2
Total Citations
41
H-Index
2
About
Eliana Colunga is a leading researcher in developmental cognitive science and human-robot interaction, with a focus on how young children learn, create, and reflect. Her work bridges the gap between early childhood development and interactive technology, exploring how robots can serve as conversational partners to scaffold metacognitive skills. In her highly cited 2021 paper, "Child-Robot Interaction to Integrate Reflective Storytelling Into Creative Play" (39 citations), Colunga demonstrated how a stuffed animal robot can engage children in reflective dialogue during creative play, transforming spontaneous exploration into deeper learning experiences. She further advanced the field by developing "The Dimensions of Reflection Coding Scheme" (2023), a novel tool for measuring how interactive designs impact reflective thinking in early childhood. By analyzing children's speech and language during play, this coding scheme provides researchers with a rigorous method to evaluate the effectiveness of reflective technologies. Colunga’s contributions are vital for designing educational toys and AI companions that nurture creativity and self-awareness from the earliest stages of development.
Research Focus
Key Achievements
Top Papers
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