Kamilla Egedal Andersen

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About

Kamilla Egedal Andersen is a researcher at the intersection of human-robot interaction, educational technology, and trust in autonomous systems. Her work explores how people engage with robots—from the classroom to the driver’s seat. In her highly cited paper “Towards playful learning and computational thinking — Developing the educational robot BRICKO” (2018, 19 citations), Andersen led the user-centered design of a tangible, social robotic system that makes computational thinking accessible through playful interaction. This contribution has informed how educators integrate robotics into early STEM learning. Andersen has also made significant strides in understanding human trust in automation. Her paper “Do We Blindly Trust Self-Driving Cars” (2017, 10 citations) challenged assumptions about over-trust in autonomous vehicles, revealing that people may place undue faith in technology during emergencies. She extended this line of inquiry in “Simulations and Self-Driving Cars” (2018, 6 citations), using controlled simulator experiments to probe trust dynamics in everyday driving scenarios. Together, her work bridges playful learning and critical safety research, offering foundational insights for designing robots that are both educational and trustworthy. Andersen’s research continues to shape how we build and evaluate interactive robotic systems for real-world impact.