Caiseal Beardow

Papers

Total Citations

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About

Caiseal Beardow’s research sits at the compelling intersection of human-robot interaction, design theory, and social robotics. Their most-cited work, “Resonance as a Design Strategy for AI and Social Robots” (2022, 25 citations), introduces a novel framework that bridges the physical phenomenon of resonance with the deeply human experience of connection and rapport. By investigating how robots can be designed to foster this resonant interaction, Beardow offers a fresh perspective on making artificial agents feel more intuitively attuned to people. This contribution is particularly significant for the growing field of socially assistive robotics, where emotional engagement is critical. Beyond this flagship paper, Beardow’s broader body of work continues to explore how design principles can shape more meaningful, empathetic human-machine relationships. Their research not only advances theoretical understanding but also provides actionable strategies for engineers and designers. With a clear focus on the experiential and relational aspects of technology, Beardow is helping to define a new generation of robots that are not just functional, but genuinely resonant with the humans they serve.