Lars van Buuren

Vrije Universiteit Amsterdam

Papers

2

Total Citations

22

H-Index

2

About

Lars van Buuren explores the intersection of human-robot interaction and education, with a primary focus on how the design of social robots impacts learning outcomes in children. His most cited work investigates whether human-like appearances and social behaviors in educational robots enhance or hinder learning—a critical question in the field of educational technology. In a landmark 2021 study, van Buuren and his team conducted a unique experiment using robots built from identical materials but with varying designs to teach multiplication tables to primary school students. The results were striking: while over one-third of children demonstrated significant learning gains, others experienced learning loss, highlighting the nuanced and sometimes counterintuitive effects of robot design. This paper has garnered 19 citations, reflecting its importance in shaping debates around robot tutoring. Van Buuren’s work challenges simplistic assumptions about social cues in robotics, offering evidence that design choices can have differential impacts on learners. His research is essential reading for anyone interested in personalized educational technology, human-robot interaction, or the ethical design of autonomous learning systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
22
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Robot Tutoring of Multiplication: Over One-Third Learning Gain for Most, Learning Loss for Some
19 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Vrije Universiteit Amsterdam

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago