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About

I. Pecoraro is a researcher at the forefront of human–robot interaction, specializing in the psychophysiological assessment of users during exoskeleton-assisted locomotion. Their work uniquely bridges biomedical engineering and cognitive science, focusing on how wearable robotic systems affect physical and mental workload. Pecoraro’s most cited study (2024, 13 citations) introduces a data-driven fuzzy logic method for estimating psycho-physiological states from multimodal monitoring, enabling real-time adaptation of exoskeleton control. This contribution is complemented by the development and pilot testing of a novel user experience questionnaire (2021, 8 citations), providing a validated tool to capture subjective perceptions during assisted walking. Further research (2021, 6 citations) demonstrates the integration of physiological signals—such as heart rate and skin conductance—to objectively assess cognitive strain during treadmill walking with an exoskeleton. Collectively, Pecoraro’s work advances the design of more responsive, user-centered assistive devices, with direct implications for rehabilitation and industrial ergonomics. Their methodological innovations offer a robust framework for future studies on human–machine symbiosis.