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About

Salvatore Digiesi is a leading researcher at the intersection of human factors engineering and Industry 4.0, with a primary focus on modeling human cognitive and motor performance in modern work environments. His most cited work, "Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model" (14 citations), provides a groundbreaking framework for understanding how older workers process and utilize information in digital society settings. Digiesi has made significant contributions to the quantification of motor difficulty, developing novel formulations of the Index of Difficulty (ID) for three-dimensional manipulation tasks and general agent performance—work that bridges human and robotic capabilities. His recent research extends into practical applications for small and medium-sized enterprises, where he has developed a field-based feasibility model for collaborative robot (cobot) implementation, addressing the critical challenge of safe human-robot interaction in manufacturing. Through his analytical-stochastic models and performance metrics, Digiesi is helping shape the future of inclusive, technology-enhanced workplaces that accommodate diverse workforces while optimizing productivity and safety.