Corina McDonald

Papers

Total Citations

H-Index

About

Corina McDonald investigates the intersection of social robotics and human cognition, with a primary focus on how artificial agents can express and elicit curiosity to enhance learning and interaction. Her most cited work, "Expression of Curiosity in Social Robots" (2019, 50 citations), explores how a peer robot's verbal curiosity cues are perceived by humans and how these expressions influence behavior, memory, and exploration—paving the way for more engaging educational technologies. In a related study (2019, 7 citations), she delves deeper into the design and perceptual mechanisms behind curiosity-driven robot behavior, offering a framework for building socially intelligent machines that foster intrinsic motivation in users. McDonald's contributions are notable for bridging developmental psychology and human-robot interaction, demonstrating that robots can serve as catalysts for curiosity in learners. Her research has significant implications for personalized tutoring systems, child-robot interaction, and autonomous agents that adapt to human curiosity. With a growing citation footprint, McDonald is establishing herself as a key voice in designing robots that not only perform tasks but also inspire wonder and deeper engagement.