Xuan Zhong

Papers

Total Citations

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About

Xuan Zhong’s research lies at the intersection of auditory perception and robotics, with a focus on how humans and machines localize sound in dynamic environments. Her major contributions center on active binaural localization, particularly the role of interaural time difference (ITD) cues in resolving spatial ambiguities. In her highly cited 2016 work (33 citations), she developed methods for localizing multiple sound sources simultaneously, advancing robotic hearing systems. Her 2015 study (9 citations) challenged conventional assumptions by demonstrating that human listeners rarely experience “cone of confusion” errors in real-world settings, as dynamic head movements and successive ITD observations disambiguate sound source locations. This insight bridged gaps between human psychophysics and robotic implementation. Her 2015 paper on dynamic spatial hearing (3 citations) further explored how both human and robot listeners adapt to moving sound sources. Zhong’s work has practical implications for assistive hearing technologies, autonomous systems, and human-robot interaction, offering a foundation for more natural auditory interfaces. Her research elegantly combines experimental rigor with engineering applications, making her a notable figure in spatial hearing and binaural robotics.