Rate My Professor Casey Kennington

Kennington's research focuses on machine learning and human-robot interaction, particularly dialogue systems, computational linguistics, natural language processing, semantics, and language acquisition. He explores how language models learn, represent, and process natural human language, developing smaller models that utilize multimodal data beyond text, and infrastructure for natural spoken communication with robots. He received a National Science Foundation CAREER award, was named an inaugural National Science Foundation AI Education Fellow in 2026, and appointed the first Boise State Foundation Board Endowed Professor of Computer Science in 2025. His influential publications include 'Spoken Language Interaction with Robots: Recommendations for Future Research' (2022, cited 186 times), 'Reporting Guidelines for Large Language Models in Human–Robot Interaction' (2026, ACM Transactions on Human-Robot Interaction), 'Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Models' (2025, Dialogue and Discourse), 'Recognizing and Generating Novel Emotional Behaviors on Two Robotic Platforms' (2025, IEEE/RSJ IROS), and editorial work on 'Dialogue with Robots: Constructive Approaches for Understanding Communication' (2025, Frontiers in Robotics and AI). With over 1,654 citations on Google Scholar and 81 research outputs documented on Boise State Experts@Boisestate, Kennington's work advances interactive spoken dialogue systems and human-robot interaction.