Irina Rudenko

Papers

Total Citations

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About

Irina Rudenko’s research lies at the intersection of human-robot interaction and developmental psychology, with a sharp focus on how children perceive and engage with social robots. Her work is pioneering in its systematic exploration of the “child factor”—the ways in which a child’s developmental stage, individual traits, and cognitive abilities shape their interactions with robotic systems. In her highly cited 2024 paper, “The Child Factor in Child–Robot Interaction,” she provides a foundational framework for understanding how age and personality influence robot acceptance and learning outcomes, earning 19 citations in a rapidly growing field. Complementing this, her study “Drawings for Insight on Preschoolers’ Perception of Robots” (6 citations) introduces an innovative, child-friendly methodology: using children’s drawings to extract design-relevant expectations and preferences. This approach offers actionable insights for engineers and educators, ensuring that robot-mediated activities are both engaging and developmentally appropriate. Rudenko’s contributions are vital for designing robots that truly resonate with young users, bridging the gap between technical design and real-world child development. Her work is essential reading for anyone interested in creating effective, child-centered robotic technologies.