Morgan May

Papers

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About

Morgan May is a pioneering researcher in human-robot interaction, with a focused expertise in designing intuitive interfaces for socially interactive robots, particularly for applications involving children. Her most cited work, "Development of a graphical user interface for a socially interactive robot: A case study evaluation" (2016, 7 citations), presents a novel GUI for a commercially available humanoid robot, aimed at streamlining robot operation and enhancing child-robot engagement. This case study demonstrates her commitment to bridging technical functionality with user-centered design, ensuring that robots can interact naturally and effectively with young users. May’s contributions lie at the intersection of robotics, interface design, and developmental psychology, offering practical tools that improve the accessibility and social impact of robotic systems. Her research not only advances the field of socially assistive robotics but also provides a replicable framework for evaluating human-robot interaction in real-world settings. With a growing body of work that prioritizes usability and emotional engagement, Morgan May is shaping how robots can become meaningful companions in educational and therapeutic contexts.