Nathaniel Gyory

Papers

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About

Nathaniel Gyory is a rising scholar at the forefront of human-robot interaction, whose work centers on understanding and measuring the psychological barriers that shape how people perceive and trust robotic systems. His primary research areas include psychometric scale development, perceived danger in human-robot interaction, and the design of socially acceptable autonomous systems. Gyory’s most notable contribution is the creation of the Perceived Danger (PD) Scale, the first validated psychometric tool specifically designed to quantify how dangerous people perceive robots to be. Through a rigorous, multi-study development process involving exploratory factor analysis, he identified four distinct subdimensions of perceived danger and produced a robust 12-item bifactor scale. This work, already garnering early citations, fills a critical gap in the field by providing researchers with a reliable instrument to assess and mitigate user apprehension—a key step toward fostering safer, more trusting human-robot collaboration. Gyory’s research is essential reading for anyone interested in the human factors of robotics, offering both theoretical depth and practical tools for designing robots that people feel comfortable working alongside.