The calibration of trust in an automated system: A sensemaking process. - Corey K. Fallon; Anne K. G. Murphy; Laura Zimmerman; Shane T. Mueller (CTS, 2010)

Adapting the task-taxon-task methodology to model the impact of chemical protective gear. - Shane T. Mueller; Benjamin Simpkins; George Anno; Corey K. Fallon; Owen Price; Gene E. McClellan (Comput. Math. Organ. Theory, 2011)

Improving Automation Transparency: Addressing Some of Machine Learning's Unique Challenges. - Corey K. Fallon; Leslie M. Blaha (HCI (15), 2018)

Common Ground and Autonomy: Two Critical Dimensions of a Machine Teammate. - Corey K. Fallon; Leslie M. Blaha; Kris Cook; Todd Billow (AHFE (7), 2019)

Adaptive Cognitive Mechanisms to Maintain Calibrated Trust and Reliance in Automation. - Christian Lebiere; Leslie M. Blaha; Corey K. Fallon; Brett A. Jefferson (Frontiers Robotics AI, 2021)

A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis. - John E. Wenskovitch; Brett A. Jefferson; Alexander A. Anderson; Jessica Baweja; Danielle Ciesielski; Corey K. Fallon (Frontiers Big Data, 2022)

Human-Centric Contingency Analysis Metrics for Evaluating Operator Performance and Trust. - Alexander A. Anderson; Brett A. Jefferson; Slaven Kincic; John E. Wenskovitch; Corey K. Fallon; Jessica Baweja; Yousu Chen (IEEE Access, 2023)

Corrigendum: Opportunities for human factors in machine learning. - Jessica Baweja; Corey K. Fallon; Brett A. Jefferson (Frontiers Artif. Intell., 2023)

Opportunities for human factors in machine learning. - Jessica Baweja; Corey K. Fallon; Brett A. Jefferson (Frontiers Artif. Intell., 2023)

Characterizing Interaction Uncertainty in Human-Machine Teams. - John E. Wenskovitch; Corey K. Fallon; Kate Miller; Aritra Dasgupta 001 (ICHMS, 2024)