| DARPA’s explainable AI (XAI) program: A retrospective D Gunning, E Vorm, Y Wang, M Turek Authorea Preprints, 2021 | 125 | 2021 |
| Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Acceptance Model (ISTAM) ES Vorm, DJY Combs International Journal of Human–Computer Interaction, 1-18, 2022 | 45 | 2022 |
| Assessing demand for transparency in intelligent systems using machine learning ES Vorm 2018 Innovations in Intelligent Systems and Applications (INISTA), 1-7, 2018 | 36 | 2018 |
| Computer-centered humans: why human-AI interaction research will be critical to successful AI integration in the DoD ES Vorm IEEE Intelligent Systems 35 (4), 112-116, 2020 | 14 | 2020 |
| Modeling user information needs to enable successful human-machine teams: Designing transparency for autonomous systems ES Vorm, AD Miller International Conference on Human-Computer Interaction, 445-465, 2020 | 12 | 2020 |
| Assessing the value of transparency in recommender systems: an end-user perspective ES Vorm, AD Miller ACM, 2018 | 12 | 2018 |
| Assessing workload with low cost eye tracking during a supervisory control task JT Coyne, C Sibley, S Sherwood, CK Foroughi, T Olson, E Vorm Augmented Cognition. Neurocognition and Machine Learning: 11th International …, 2017 | 8 | 2017 |
| Enhancing human-machine teaming for medical prognosis through neural ordinary differential equations (NODEs) DA Fompeyrine, ES Vorm, N Ricka, F Rose, G Pellegrin Human-Intelligent Systems Integration 3 (4), 263-275, 2021 | 7 | 2021 |
| DARPA's explainable AI (XAI) program: A retrospective. Applied AI Letters, 2: e61 D Gunning, E Vorm, JY Wang, M Turek | 7 | 2021 |
| Darpa’s explainable AI (XAI) program: a retrospective. Appl. AI Lett. 2, e61 (2021) D Gunning, E Vorm, JY Wang, M Turek | 6 | 2022 |
| DARPA’s explainable AI (XAI) program: a retrospective. Applied AI Letters 2, e61 (2021) D Gunning, E Vorm, JY Wang, M Turek | 5 | |
| Into the black box: designing for transparency in artificial intelligence ES Vorm Indiana University-Purdue University Indianapolis, 2019 | 4 | 2019 |
| Joint attention estimator W Lawson, AM Harrison, ES Vorm, JG Trafton Companion of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 3 | 2020 |
| Approaches to Context-Based Proactive Decision Support W Zachary, E Vorm Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60 (1 …, 2016 | 2 | 2016 |
| They are beyond WEIRD: Helpful frameworks for conducting Non-WEIRD research DJY Combs, S Blincoe, CP Garris, ES Vorm Modeling Sociocultural Influences on Decision Making, 193-210, 2016 | 1 | 2016 |
| Machine Learning Approaches to Naval Aviation Selection and Assessment: Opportunities and Challenges ES Vorm Military Health System Research Symposium, 2019 | | 2019 |
| Human Factors Considerations of Future Unmanned Aeromedical Evacuation ES Vorm Military Health System Research Symposium, 2018 | | 2018 |
| Assessing Workload with Low Cost Eye Tracking During a Supervisory Control Task CK Foroughi, T Olson, E Vorm | | 2017 |
| IEEE (SMC) INISTA 2018 Table of contents C Hahn, S Feld, P Koprinkova-Hristova, N Bocheva, S Nedelcheva, ... | | |
Matt TurekDARPAVerified email at darpa.mil
