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Eric S. Vorm

DARPA 's explainable AI ( XAI ) program: A retrospective
2021 · David Gunning, Eric Vorm, et al. · Applied AI Letters · 296
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Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Acceptance Model (ISTAM)
2022 · E. S. Vorm, David J. Y. Combs · International Journal of Human-Computer Interaction · 233
Assessing Demand for Transparency in Intelligent Systems Using Machine Learning
2018 · Eric S. Vorm · International Conference on Innovations in Intelligent Systems and Applications (INISTA) · 29
Self-Directed Violence Aboard U.S. Navy Aircraft Carriers: An Examination of General and Shipboard-Specific Risk and Protective Factors
2016 · Arlene Saitzyk, Eric Vorm · Military Medicine · 23
Computer-Centered Humans: Why Human-AI Interaction Research Will Be Critical to Successful AI Integration in the DoD
2020 · E. S. Vorm · IEEE Intelligent Systems · 15
Modeling User Information Needs to Enable Successful Human-Machine Teams: Designing Transparency for Autonomous Systems
2020 · Eric S. Vorm, Andrew D. Miller · Lecture notes in computer science · 13
Assessing Workload with Low Cost Eye Tracking During a Supervisory Control Task
2017 · Joseph T. Coyne, Ciara Sibley, et al. · Lecture notes in computer science · 9
Enhancing human-machine teaming for medical prognosis through neural ordinary differential equations (NODEs)
2021 · D. A. Fompeyrine, E. S. Vorm, et al. · Human-Intelligent Systems Integration · 8
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Assessing the Value of Transparency in Recommender Systems: An End-User Perspective
2018 · Eric S. Vorm, Andrew Miller · Purdue University Indianapolis (Indiana University) · 6
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Assessing Demand for Transparency in Intelligent Systems Using Machine Learning
2018 · Eric S. Vorm, Andrew Miller · Publisher · 5
Joint Attention Estimator
2020 · Wallace Lawson, Anthony M. Harrison, et al. · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · 3
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Into the Black Box: Designing for Transparency in Artificial Intelligence
2019 · Vorm, Eric Stephen · IUScholarWorks (Indiana University) · 2
9 They Are Beyond WEIRD: Helpful Frameworks for Conducting Non-WEIRD Research
2016 · David J. Y. Combs, Sarai Blincoe, et al. · Human factors and ergonomics · 2
The Use of Simulation to Improve Trust and Adoption of Autonomy and AI in High-Consequence Work Systems
2023 · Emily Barrett, Kelly J. Neville, et al. · Winter Simulation Conference · 1
Approaches to Context-Based Proactive Decision Support
2016 · Wayne Zachary, Eric Vorm · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 1
The whole is greater than the sum of its parts: possibility and potential at the intersection between artificial intelligence and education & training
2022 · Joseph Cohn, Eric Vorm, et al. · The Journal of Defense Modeling and Simulation Applications Methodology Technology
They Are Beyond WEIRD: Helpful Frameworks for Conducting Non-WEIRD Research
2016 · David J. Y. Combs, Sarai Blincoe, et al. · CRC Press eBooks
Works count: 17
Citation count: 646
H-index: 8
I10-index: 6
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