Papers
1
Total Citations
23
H-Index
1
About
Ho-Sun Yoo is a leading researcher at the intersection of human-robot interaction, educational technology, and cognitive psychology. Their most influential work investigates the cognitive and affective factors that drive adoption of robot-assisted learning systems, particularly through the lens of human likeness. In their highly cited 2016 study, Yoo demonstrated that a robot’s anthropomorphic design and social presence significantly shape learners’ trust, engagement, and acceptance—a finding that has become foundational for designing effective robotic tutors. With over 23 citations on this landmark paper alone, Yoo’s research has helped bridge the gap between technological capability and human readiness, offering critical insights into how emotional and cognitive responses mediate the success of AI-driven education. Their work is widely referenced by scholars developing next-generation e-learning platforms and social robots. Yoo’s contributions continue to inform both theoretical frameworks and practical design principles, making them a key voice in the ongoing dialogue about how machines can learn to teach—and how humans learn to trust them.
Research Focus
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Top Papers
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