James Eagan

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About

James Eagan is a researcher in human-computer interaction and augmented reality, with a focus on how projection-based systems can enhance human performance in complex, dense environments. His work explores the intersection of spatial memory, motor guidance, and interactive technology, particularly through the use of projection-augmented robotic arms. In his most-cited paper, "Finding Objects Faster in Dense Environments Using a Projection Augmented Robotic Arm" (2015, 7 citations), Eagan demonstrates how projected visual cues can significantly speed up object retrieval in cluttered spaces like warehouses or control rooms. His follow-up study, "Impact of Motorized Projection Guidance on Spatial Memory" (2016, 3 citations), critically examines a key trade-off: while such guidance improves immediate task efficiency, it may hinder the development of long-term spatial memory by shifting control from the user to the system. This insight is vital for designing assistive technologies that balance performance with learning. Eagan’s work is notable for its practical applications in logistics, accessibility, and human-robot collaboration, and his research continues to inform the design of intelligent, user-centered augmented environments.