Reiko Akahane-Yamada
Papers
1
Total Citations
17
H-Index
1
About
Reiko Akahane-Yamada is a leading researcher in human-robot interaction and educational technology, with a particular focus on how social robots can enhance learning in early childhood. Her work explores the psychological and behavioral effects of robot-mediated praise, demonstrating that the presence of multiple robots can significantly amplify children’s motivation and engagement. In her highly cited 2021 study, “Two is better than one: verification of the effect of praise from two robots on pre-school children’s learning time,” she showed that praise delivered by two robots, rather than one, increases children’s sustained learning time and task acceptance—a finding with direct implications for designing more effective educational robots. This work, which has garnered 17 citations, is part of a broader research program that investigates how social cues from robots influence learning outcomes, acceptance, and performance in young children. Akahane-Yamada’s contributions are shaping the future of human-robot collaboration in classrooms, offering evidence-based strategies for using robots as supportive, non-human teachers. Her research is essential reading for anyone interested in the intersection of developmental psychology, artificial intelligence, and education.
Research Focus
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Top Papers
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