Kirsten von Bergmann
Papers
7
Total Citations
571
H-Index
6
About
Kirsten von Bergmann is a leading researcher in human-robot interaction, with a primary focus on social robotics for education and second language acquisition. Her work investigates how robots and virtual agents can serve as effective tutors, particularly for children learning new languages. Von Bergmann’s major contributions include developing adaptive tutoring systems that use Bayesian knowledge tracing to personalize instruction, and demonstrating that a robot’s gestures and non-verbal behavior significantly enhance vocabulary learning. Her 2018 paper “Guidelines for Designing Social Robots as Second Language Tutors” (160 citations) provides foundational principles for the field, while her 2012 study on how appearance and non-verbal cues affect perceptions of warmth and competence in virtual agents (138 citations) has been highly influential. With over 100 citations for her adaptive tutoring approach, von Bergmann’s work has shaped the design of educational robots. She has also explored the use of social robots for migrant integration, addressing cultural and gender-specific behaviors. Her research bridges robotics, education, and psychology, offering practical insights for creating more effective and socially aware tutoring agents.
Research Focus
Key Achievements
Top Papers
- 1Guidelines for Designing Social Robots as Second Language Tutors160 citations · 2018
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- 5L2TOR - Second Language Tutoring using Social Robots59 citations · 2015
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- 7Requirements and Building Blocks for Sociable Embodied Agents3 citations · 2009