Eva L. Parkhurst

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About

Eva L. Parkhurst’s research lies at the intersection of human factors engineering and assistive robotics, with a focus on designing adaptive, user-centered interfaces for robotic systems. Her most cited work (2019, 7 citations) investigates age and gender differences in operating robotic manipulators, revealing how human factors like spatial ability and prior experience predict performance across diverse user groups. This study, involving 93 participants, challenges one-size-fits-all design assumptions and underscores the need for personalized interfaces. In her 2017 paper (3 citations), Parkhurst explores compensations for assistive robotic interfaces, specifically wheelchair-mounted robotic arms (WMRAs). She critiques rigid interfaces that force user adaptation and builds on Paperno et al.’s (2016) framework to propose adaptive solutions that enhance functional independence for individuals with disabilities. Though early in her career, Parkhurst’s work is foundational for inclusive robotics, emphasizing that effective assistive technology must accommodate human variability rather than demand conformity. Her contributions are vital for students and researchers aiming to bridge engineering and human-centered design, ensuring that robotic aids truly empower users.