Andrea Lucchese

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About

Andrea Lucchese is a pioneering researcher at the intersection of human factors engineering, cognitive science, and robotics, with a primary focus on modeling human motor performance and cognitive abilities in complex work environments. Her most significant contribution is the development of an information-based model for understanding cognitive and motor abilities in the aging workforce, a work that has garnered 14 citations and provides crucial insights into how digital societies can support older workers. Lucchese has advanced the field by creating novel analytical-stochastic formulations of the Index of Difficulty (ID) for three-dimensional manipulation tasks, moving beyond traditional two-dimensional models to capture the complexity of real-world movements. Her work on agent motor performance has established a unified framework for evaluating both human and robotic operators, bridging the gap between ergonomics and robotics. Through her research, Lucchese has provided essential tools for designing inclusive workplaces and human-robot collaboration systems that account for age-related changes in motor control and cognitive processing.