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About

Paul Anton is a leading researcher in human-robot interaction, with a particular focus on personalisation and social robotics. His work explores how robots can become more responsive and adaptive to individual users, enabling natural, engaging dialogues that evolve based on user preferences and behaviour. In his highly cited 2017 paper, "The Impact of Personalisation on Human-Robot Interaction in Learning Scenarios" (66 citations), Anton demonstrated how personalised interaction models significantly improve user engagement and learning outcomes. He further advanced this line of inquiry in "Hey robot, why don't you talk to me?" (16 citations), where he introduced the Neuro-Inspired Companion (NICO) robot. This platform tracks users' faces, remembers past interactions, and initiates personalised conversations, showcasing a practical step toward truly adaptive social robots. Anton’s contributions are foundational to the development of companion robots that can build long-term, meaningful relationships with humans. His work continues to influence researchers in educational robotics, assistive technology, and socially aware AI, making him a key figure in the quest for machines that understand and respond to us as individuals.