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About

Eunice Mwangi is a leading researcher in human-robot interaction, specializing in how gaze and nonverbal cues shape communication between humans and robots, particularly in educational and collaborative settings. Her work explores the critical role of gaze as a social signal, demonstrating that robots can effectively use gaze hints—such as looking at a relevant card—to guide attention and improve task performance. In her most-cited study (25 citations), she showed that participants perceive and interpret gaze hints from a robot tutor similarly to those from a human tutor during a matching task, advancing our understanding of social robotics. Mwangi’s research extends to child-robot interaction, where she examines dyadic gaze patterns like mutual gaze and joint attention during collaborative gameplay, revealing how these cues indicate engagement and learning quality. Her studies with the NAO robot in tutoring contexts have practical implications for designing more intuitive and effective educational robots. With over 60 cumulative citations, Mwangi’s contributions are foundational for developing robots that can socially interact and teach, making her a notable figure in the field of socially assistive robotics.