Nathan Caruana
Papers
9
Total Citations
103
H-Index
4
About
Nathan Caruana investigates the cognitive and social foundations of human-robot interaction, with a particular focus on how children perceive and learn from social robots. His work bridges developmental psychology, education, and human-robot interaction to understand how a robot’s appearance, perceived intelligence, and intentional stance shape learning outcomes. Caruana’s most cited paper, “Social/dialogical roles of social robots in supporting children’s learning of language and literacy” (2022, 39 citations), reviews and systematizes the innovative roles robots can play in educational settings. His research on children’s perceptions of robot reading companions (2023, 24 citations) reveals that how children attribute intelligence and sentience to robots fundamentally affects their engagement and learning. Caruana has also explored how body form modulates action prediction from gaze (2023) and how intentional stance beliefs influence joint attention (2019, 26 citations). His work challenges assumptions about robot autonomy and emphasizes the need for multidisciplinary approaches in human-robot interaction. With a growing portfolio of studies on teacher perceptions and children’s perspectives, Caruana is shaping how we design effective, child-centered educational robots.
Research Focus
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Top Papers
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- 9Autonomous social robots are real in the mind's eye of many2 citations · 2023