Luke Sebanz McEllin

Central European University, University of Warwick

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About

Luke Sebanz McEllin investigates the intersection of human-robot interaction and joint action, with a focus on how robotic agents can enhance human learning and social engagement. His work explores the psychological and behavioral dynamics of teaching and cooperation between humans and robots. In his 2019 study, McEllin demonstrated that an adaptive robot teacher can significantly boost a human partner’s learning performance, a finding with implications for physiotherapy and skills training. Building on this, his 2021 research showed that when a humanoid robot like the iCub appears to invest effort in teaching, human participants reciprocate by investing more effort themselves—revealing a powerful mechanism of social reciprocity in human-robot partnerships. Though his most-cited papers each have 6 citations, their impact lies in their conceptual novelty and practical relevance to designing more effective, socially intelligent robots. McEllin’s work is notable for bridging robotics with cognitive science, offering a nuanced understanding of how perceived effort and adaptability can foster commitment and motivation in interactive teaching tasks.