Diane Calderon

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About

Diane Calderon’s research lies at the intersection of assistive technology, human-robot interaction, and neurorehabilitation, with a particular focus on improving quality of life for individuals with motor impairments. Her work addresses the critical challenge of assessing and managing fatigue—both physical and mental—in clinical populations. In her highly cited survey, “A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis” (2019, 18 citations), Calderon provides a comprehensive overview of how robotic and sensor-based tools can support diagnosis, monitoring, and therapy for persons with multiple sclerosis (PwMS), emphasizing the potential for personalized, technology-driven care. Building on this, her paper “Towards a robot-based multimodal framework to assess the impact of fatigue on user behavior and performance” (2019, 5 citations) introduces an innovative framework that integrates robotic systems with multimodal sensing to objectively measure how fatigue influences task performance and user experience. This work is notable for bridging subjective self-reports with objective behavioral data, offering a more holistic understanding of fatigue’s role in rehabilitation. Calderon’s contributions are shaping the future of accessible, adaptive assistive technologies, making her a rising voice in the field of human-centered robotics and neurorehabilitation.