Cassidy Henry
Papers
6
Total Citations
40
H-Index
3
About
Cassidy Henry is a computational linguistics and human-robot interaction researcher whose work centers on natural language processing, dialogue systems, and the challenge of enabling robots to understand and respond to human speech in real-world collaborative tasks. Working primarily within the Army Research Laboratory ecosystem alongside prominent colleagues such as Matthew Marge, Claire Bonial, and David Traum, Henry has made meaningful contributions to the collection and analysis of human-robot dialogue corpora, particularly in navigation and exploration contexts. Henry's most cited work (22 citations) investigates how humans naturally vary their language when directing robots, offering critical insights for building more robust dialogue systems. Beyond observation, Henry contributed directly to the infrastructure of this research field — helping design Wizard-of-Oz data collection interfaces and developing annotation guidelines that standardize how dialogue structure is analyzed. The culmination of much of this collaborative effort is the SCOUT corpus, a richly situated, multi-modal dataset that stands as a significant resource for researchers building real-world robotic dialogue systems. Henry's research demonstrates a consistent focus on bridging the gap between naturalistic human communication and the practical demands of automated robot systems, contributing foundational datasets and frameworks that continue to support the broader human-robot interaction research community.
Research Focus
Key Achievements
Top Papers
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- 5Balancing Efficiency and Coverage in Human-Robot Dialogue Collection2 citations · 2018
- 6SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus2 citations · 2024