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About

Matthew Story is a researcher whose work sits at the intersection of human-robot interaction (HRI), industrial robotics, and assistive technology. His research spans two compelling domains: optimizing safe and effective collaboration between humans and industrial robot arms, and harnessing social and assistive robots to support vulnerable populations, particularly older adults with low socioeconomic status. Story's most cited work (42 citations) investigates how robot speed and proximity shape the psychological and physical experience of human-robot collaboration in industrial settings, challenging existing safety guidelines to account for human comfort alongside physical protection. His earlier work on human-aware navigation further demonstrates his commitment to building robots that respond intelligently to human presence. Complementing this technical focus, Story has made significant contributions to measurement science in HRI, authoring a systematic review of psychometric instruments used to assess psychological dimensions in human-robot interaction — an increasingly essential resource for researchers designing rigorous studies. His more recent work explores how robot companions and sensor technologies can meaningfully improve the daily lives of aging adults, with particular sensitivity to mobility challenges and socioeconomic inequities. Collectively accumulating over 75 citations, Story's research reflects a career dedicated to making robots not only safer and smarter, but genuinely beneficial to human well-being.