About

Mirjam de Haas is a pioneering researcher at the intersection of human-robot interaction, child development, and second language acquisition, whose work has fundamentally shaped how we understand social robots as educational tools. Her research focuses on designing and evaluating robot tutors that help young children learn foreign language vocabulary, with a particular emphasis on preschool-age learners navigating second language environments. De Haas's most influential contributions include establishing foundational design guidelines for social robots as language tutors (160 citations) and conducting large-scale empirical studies demonstrating their real-world effectiveness (137 citations). Her work systematically examines how robot behaviors — including iconic gestures, adaptive feedback, and first-language translations — can scaffold children's learning in meaningful ways. Notably, she has investigated the psychological dimensions of child-robot relationships, exploring how children's tendency to anthropomorphize robots relates to their learning outcomes, and how socially grounded strategies can strengthen child-robot bonds. Spanning longitudinal studies, multilingual classroom contexts, and developmental considerations such as age-related engagement differences, her research portfolio accumulates over 700 citations and offers both theoretical frameworks and practical guidance for educators and technologists alike. De Haas's work represents an essential foundation for anyone seeking to deploy social robots meaningfully in diverse, real-world educational settings.

Research Focus

Key Achievements

13
H-Index
32
Papers
868
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Guidelines for Designing Social Robots as Second Language Tutors
160 citations · 2018
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 87
🏛 Institutions: Tilburg University, Eindhoven University of Technology, University of Applied Sciences Utrecht, Radboud University Nijmegen

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago