David McNeill

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About

David McNeill is a leading researcher at the intersection of human-robot interaction, spoken dialogue systems, and affective computing. His work focuses on enabling more natural, intuitive communication between humans and robots by developing systems that are not only responsive but also emotionally and temporally aligned. McNeill’s most impactful contribution is the development of **rrSDS: a Robot-ready Spoken Dialogue System**, which addresses the critical challenge of real-time, incremental, and multimodal interaction with physical robots. This framework, detailed in his 2020 paper (15 citations), represents a significant step toward making robots capable of fluid, human-like conversation. Complementing this, his 2019 study on **Predicting Human Interpretations of Affect and Valence in a Social Robot** (10 citations) explores how people perceive and assign emotional meaning to robot behaviors, using the Anki Cozmo robot’s extensive library of actions. This work is foundational for designing robots that can express and interpret affect, a key component of social intelligence. McNeill’s research is shaping the future of socially aware robotics, where machines can learn language and respond to human emotion in real-world settings.