Ross McDermott

Papers

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About

Ross McDermott is a leading researcher at the intersection of affective computing, social robotics, and trustworthy artificial intelligence. His work focuses on endowing machines with the ability to perceive, interpret, and respond to human emotions in real-world contexts, with a particular emphasis on healthcare applications. McDermott’s most notable contribution is the CASIE framework—Computing Affect and Social Intelligence for Healthcare in an Ethical and Trustworthy Manner—which integrates multilingual and multimodal emotion recognition with context-aware decision-making. This pioneering system enables robots to exhibit socially intelligent, cooperative behaviours that are both ethically grounded and clinically relevant. Though his work is still emerging, his 2021 paper on CASIE has already garnered significant attention, accumulating 6 citations and establishing a foundation for future research in human-robot interaction. McDermott’s research is distinguished by its commitment to transparency and trustworthiness, ensuring that emotionally aware machines are developed responsibly. For students and researchers exploring the future of empathetic technology, McDermott’s work offers a compelling blueprint for building robots that not only understand how we feel, but act on that understanding in safe and meaningful ways.