Joslin Goh

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About

Joslin Goh is a researcher at the intersection of human-robot interaction, educational technology, and cognitive science, with a primary focus on the role of curiosity in learning. Her work investigates how curiosity—the intrinsic drive for new information—can be elicited and leveraged through social robots and digital platforms to enhance educational outcomes. In her most-cited paper, "Expression of Curiosity in Social Robots" (2019, 50 citations), Goh explores how a social peer robot’s verbal expressions of curiosity are perceived and how they can influence learning, memory, and exploration. This foundational study has shaped subsequent research on designing more engaging and effective educational technologies. Goh further advances this line of inquiry with the "Curiosity Notebook" (2021, 25 citations), a web-based research infrastructure that enables systematic study of learning by teaching—a complex pedagogical technique. By providing a controlled yet flexible platform, this tool allows researchers to investigate the dynamics of tutor-tutee interactions in ways previously difficult to achieve. Her work is notable for bridging theoretical insights about curiosity with practical design principles for robots and learning environments, offering actionable guidance for educators and technologists. With a growing citation impact, Goh’s contributions are helping to define how social robots can foster deeper, more motivated learning.