Brian Vaughan

Papers

Total Citations

H-Index

About

Brian Vaughan is a researcher specializing in human-robot interaction (HRI), multimodal data collection, and conversational systems. His work sits at the intersection of linguistics, robotics, and digital media, with a particular focus on understanding how humans naturally communicate with machines. Vaughan's most notable contributions center on the development of methodologies and platforms for capturing spontaneous, real-world human-robot dialogues, moving the field beyond controlled laboratory settings into authentic public environments. His most cited work (12 citations) details the design and implementation of a platform for collecting multi-modal HRI data, while his complementary research introduced the Herme Database — a rich corpus of spontaneous multimodal human-robot dialogues gathered over three months at Dublin's Science Gallery, where members of the public engaged in open-ended conversations with a robot. This naturalistic approach to data collection has provided the research community with valuable language resources for studying conversational initiation and interaction dynamics. With a cumulative citation count reflecting steady recognition across a niche but growing field, Vaughan's contributions have helped establish important infrastructure for HRI research, offering tools and datasets that support advances in speech recognition, dialogue systems, and socially intelligent robotics.