David House

Papers

Total Citations

H-Index

About

David House is a leading researcher in multimodal communication, specializing in the intersection of speech, gesture, and human-robot interaction. His work focuses on how spontaneous face-to-face dialogue integrates complex, variable motion patterns, and how these patterns can be systematically annotated and applied to interactive systems. House’s major contribution lies in developing automatic annotation methods for gestural units, enabling researchers to analyze the nuanced co-occurrence of speech and gesture in natural conversation—a critical step for building more intuitive multimodal interfaces. His 2016 paper on this topic, with 6 citations, has provided foundational tools for the field. Additionally, his 2011 study on animated faces for robotic heads, cited 5 times, explores how gaze and expressive motion can make robots more socially engaging, bridging the gap between human communication dynamics and robotic design. House’s work has directly influenced the development of responsive, human-like agents in both research and applied settings, making him a key figure in advancing our understanding of embodied interaction.