Emiel Krahmer
Papers
28
Total Citations
1,060
H-Index
14
About
Emiel Krahmer is a leading researcher in human-robot interaction and computational linguistics, whose work explores how social robots can serve as effective educational tools, particularly for second language acquisition in young children. His major contributions center on designing and evaluating child-friendly robot tutors that use gestures, adaptive feedback, and anthropomorphic features to enhance vocabulary learning. In a landmark large-scale study (2019, 137 citations), he demonstrated that robot-led tutoring can successfully teach English vocabulary to preschool children over multiple sessions. His research has shown that a robot’s iconic gestures and adaptive scaffolding significantly improve learning outcomes (99 citations), while also investigating how children’s anthropomorphic beliefs about robots relate to word learning (51 citations). Beyond education, Krahmer has examined the perceived credibility of machine-written news (89 citations), contributing to the emerging field of automated journalism. His work on child-robot interaction across cultures (88 citations) and collaborative gameplay (33 citations) has further shaped our understanding of how children engage with social agents. With over 800 total citations across his most influential papers, Krahmer’s research provides foundational insights for designing effective, engaging, and culturally sensitive educational robots.
Research Focus
Key Achievements
Top Papers
- 1Guidelines for Designing Social Robots as Second Language Tutors160 citations · 2018
- 2Second Language Tutoring Using Social Robots: A Large-Scale Study137 citations · 2019
- 3Child-Robot Interactions for Second Language Tutoring to Preschool Children125 citations · 2017
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- 9Varied Human-Like Gestures for Social Robots35 citations · 2020
- 10Child-robot interaction during collaborative game play33 citations · 2010