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About

Christopher D. Wallbridge is a human-robot interaction researcher whose work spans social robotics, second language learning, spatial reasoning, and autonomous systems. He is perhaps best known for his foundational contributions to robot-assisted language tutoring, most notably through his highly cited 2018 guidelines for designing social robots as second language tutors (160 citations), which helped establish a principled framework for deploying robots in educational contexts. His involvement in the large-scale L2TOR project — in which a NAO robot taught English vocabulary to nearly 200 Dutch children — demonstrated the real-world viability of robotic language instruction at scale. Beyond education, Wallbridge has made meaningful contributions to spatial referring expression generation, exploring how robots can communicate naturally and dynamically with humans in shared environments. His work on the UNDERWORLDS framework further reflects his interest in robust robot situation assessment. More recently, he has turned attention to autonomous vehicles, examining public trust, blame attribution, and the psychological effects of anthropomorphising AV assistants following accidents. His 2021 study on double standards in AV accident blame highlights the ethical dimensions of increasingly autonomous systems. Across all these areas, Wallbridge's research consistently bridges technical robotics challenges with human psychological and social factors, making him a distinctive voice in applied HRI research.