Miriam Armstrong

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About

Miriam Armstrong’s research lies at the intersection of human-robot interaction, perceptual psychology, and tele-operation, with a particular focus on Urban Search and Rescue (USAR) robotics. Her work investigates how operators make critical perceptual judgments—such as whether a robot can pass through an opening—and how these judgments affect driving performance and mission success. Armstrong’s studies on tele-operation training have identified key factors that improve operators’ driveability judgments, offering practical insights for designing more effective training protocols. She has also explored the phenomenon of robots exhibiting human characteristics, contributing to the literature on anthropomorphism and dehumanization by applying Haslam’s model to understand how people perceive and interact with robots. Though her most-cited papers have modest citation counts (2–3 each), their focused contributions to tele-operation and human-robot interaction are valuable for advancing real-world robotics applications. Armstrong’s work is particularly relevant for researchers and practitioners in robotics, cognitive science, and emergency response, as it addresses the human factors that are critical for the successful deployment of robots in high-stakes environments.