Assessing Workload with Low Cost Eye Tracking During a Supervisory Control Task. - Joseph T. Coyne; Ciara Sibley; Sarah Sherwood; Cyrus K. Foroughi; Tatana Olson; Eric Vorm (HCI (14), 2017)

Assessing Demand for Transparency in Intelligent Systems Using Machine Learning. - Eric Vorm (INISTA, 2018)

Assessing the Value of Transparency in Recommender Systems: An End-User Perspective. - Eric Vorm; Andrew D. Miller 001 (IntRS@RecSys, 2018)

Modeling User Information Needs to Enable Successful Human-Machine Teams: Designing Transparency for Autonomous Systems. - Eric S. Vorm; Andrew D. Miller 001 (HCI (17), 2020)

Joint Attention Estimator. - Wallace Lawson; Anthony M. Harrison; Eric S. Vorm; J. Gregory Trafton (HRI (Companion), 2020)

Computer-Centered Humans: Why Human-AI Interaction Research Will Be Critical to Successful AI Integration in the DoD. - Eric S. Vorm; Prithviraj Dasgupta (IEEE Intell. Syst., 2020)

Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Acceptance Model (ISTAM). - Eric S. Vorm; David J. Y. Combs (Int. J. Hum. Comput. Interact., 2022)

The Use of Simulation to Improve Trust and Adoption of Autonomy and AI in High-Consequence Work Systems. - Emily Barrett; Kelly J. Neville; Lisa Weinstein Billman; Theresa Fersch; Valerie J. Gawron; Emily S. Patterson; Eric S. Vorm (WSC, 2023)