Yasutomo Maeda

Papers

Total Citations

H-Index

About

Yasutomo Maeda is a researcher at the intersection of human-robot interaction, museum studies, and educational technology. His work focuses on designing robots that can engage visitors in natural, pedagogically effective dialogues, drawing from ethnographic studies of human guides. Maeda’s key contribution lies in operationalizing the subtle conversational strategies that expert guides use—such as pre-questions and attention-directing sequences—into robotic systems. His most cited paper, “Implementing human questioning strategies into quizzing-robot” (2012), with 2 citations, demonstrates how embedding these human-like questioning patterns can enhance visitor engagement and learning in museum settings. While his citation count is modest, his work is notable for its deep integration of qualitative social science with robotics, offering a model for creating more intuitive and socially aware interactive agents. Maeda’s research has been presented at conferences like HRI and RO-MAN, and he has contributed to the development of robots that can adapt their behavior based on real-time visitor responses. For students and researchers, his work exemplifies how careful observation of human interaction can inform the design of machines that communicate more naturally and effectively.