Publications

Donald R. Honeycutt

Journal and Conference Papers

Chiradeep Roy, Mahsan Nourani, Donald R Honeycutt, Jeremy E Block, Tahrima Rahman, Eric D Ragan, Nicholas Ruozzi, Vibhav Gogate "Explainable activity recognition in videos: Lessons learned." Applied AI Letters. 2021

Mahsan Nourani, Chiradeep Roy, Jeremy E Block, Donald R Honeycutt, Tahrima Rahman, Eric Ragan, Vibhav Gogate "Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems." 26th International Conference on Intelligent User Interfaces. 2021.

Donald Honeycutt, Mahsan Nourani, and Eric Ragan. Soliciting human-in-the-loop user feedback for interactive machine learning reduces user trust and impressions of model accuracy. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, volume 8, pages 63–72, 2020.

David Schweitzer, Donald Honeycutt, Amy Lofgren, and Daniel Serban. T e x math here: A simple, unified, and efficient model for web-based math composition. Electronic Journal of Mathematics & Technology, 14(1), 2020.

Workshop Papers and Extended Abstracts

Mahsan Nourani, Donald R Honeycutt, Jeremy E Block, Chiradeep Roy, Tahrima Rahman, Eric D Ragan, and Vibhav Gogate. Investigating the importance of first impressions and explainable ai with interactive video analysis. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pages 1–8, 2020.