Dawn T. Robinson
Papers
1
Total Citations
25
H-Index
1
About
Dawn T. Robinson is a distinguished scholar whose research lies at the intersection of artificial intelligence, cognitive development, and human-computer interaction. Her most-cited work, "Gauging Children’s Understanding of Artificially Intelligent Objects: A Presentation of 'Counterfactuals'" (1998, 25 citations), offers groundbreaking insights into how children aged 5 to 11—alongside adults—conceptualize computational objects that behave unexpectedly. By presenting scenarios where AI devices act contrary to normal expectations, Robinson reveals the developmental trajectory of counterfactual reasoning in understanding machine behavior. This foundational study has shaped subsequent research on how young minds perceive and interact with intelligent technologies, influencing fields from educational psychology to AI ethics. Robinson’s work bridges cognitive science and artificial intelligence, demonstrating how children’s reasoning about computational anomalies illuminates broader questions about human understanding of agency and intentionality in machines. Her contributions continue to inform curriculum design for AI literacy and developmental studies of human-machine interaction, making her a pivotal figure in the emerging dialogue between child development and artificial intelligence.
Research Focus
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Top Papers
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