Liliana Negri

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About

Liliana Negri investigates the human factors that determine whether assistive robotic technologies are truly adopted, focusing on the intersection of psychoaffective and cognitive variables with wearable device design. Her pilot study on human–robot interactions, published in 2025, directly addresses a critical bottleneck in rehabilitation robotics: the gap between technical capability and user acceptance. By examining how emotional responses and cognitive load influence usability, Negri’s work provides early evidence for personalized adaptation guidelines—a missing link that has historically limited the real-world impact of robotic exoskeletons and prosthetics. While her most-cited paper currently holds 4 citations, its recency and the timeliness of its focus on individual user profiling signal growing relevance as the field pivots from hardware performance to human-centered design. Negri’s contributions are particularly valuable for researchers developing inclusive assistive technologies, as she champions the idea that efficacy depends not only on mechanical precision but on the user’s psychological readiness and cognitive ease. Her work lays a foundation for more adaptive, empathetic robotic systems that could transform rehabilitation outcomes.