| Scanpath comparisons for complex visual search in a naturalistic environment ME Frame, R Warren, AM Maresca Behavior Research Methods 51, 1454-1470, 2019 | 17 | 2019 |
| Unsupervised parsing of gaze data with a beta-process vector auto-regressive hidden Markov model JW Houpt, ME Frame, LM Blaha Behavior research methods 50 (5), 2074-2096, 2018 | 15 | 2018 |
| A neural indicator of response competition in preferential choice. ME Frame, JG Johnson, RD Thomas Decision 5 (4), 272, 2018 | 8 | 2018 |
| Development of an Autonomous Manager for Dynamic Human-Machine Task Allocation in Operational Surveillance ME Frame, AS Boydstun, JS Lopez 2020 IEEE International Conference on Human-Machine Systems (ICHMS), 1-4, 2020 | 5 | 2020 |
| Capturing you watching you: Characterizing visual-motor dynamics in touchscreen interactions LM Blaha, JW Houpt, ME Frame, JA Kern Eye Tracking and Visualization: Foundations, Techniques, and Applications …, 2017 | 4 | 2017 |
| Using cognitive models to design dynamic task allocation systems C Fisher, M Frame, C Stevens The Journal of Defense Modeling and Simulation, 2022 | 3 | 2022 |
| Using Process Tracing Data to Define and Test Process Models 1 JG Johnson, ME Frame A Handbook of Process Tracing Methods, 374-387, 2019 | 3 | 2019 |
| Development of an autonomous manager for dyadic human-machine teams in an applied multitasking surveillance environment ME Frame, AS Boydstun, AM Maresca, JS Lopez Intelligent Human Systems Integration 2019: Proceedings of the 2nd …, 2019 | 3 | 2019 |
| Evaluation of simulated recognition aids for human sensemaking in applied surveillance scenarios ME Frame, AM Maresca, A Christensen-Salem, RE Patterson Human Factors 66 (4), 1056-1067, 2024 | 2 | 2024 |
| Enhancing Detection of Essential Elements of Information (EEI) through Structured Analytic Techniques (SAT) and Visual Network Text Analysis to Augment Decision Making Outcomes … JM Nelson, A Maresca, M Frame, B Schlessman, S Perry | 2 | 2023 |
| Route Planning Decisions: Evaluating Reliance on Spatial Heuristics Under Risk M Frame, M Schwing, S Johnston, E Curtis Spatial Cognition and Computation, 2022 | 2 | 2022 |
| EEG and ERPs as Neural Process Tracing Methodologies in Decision-Making Research 1 ME Frame A handbook of process tracing methods, 217-233, 2019 | 2 | 2019 |
| The lateralized readiness potential as a neural indicator of response competition in binary decision tasks ME Frame Miami University, 2014 | 2 | 2014 |
| Impacts of decision support systems on cognition and performance for intelligence-gathering path planning ME Frame, J Kaiser, J Kegley, J Armstrong, B Schlessman Military psychology 36 (3), 323-339, 2024 | 1 | 2024 |
| Evaluation of a decision support system using Bayesian network modeling in an applied Multi-INT surveillance environment ME Frame, B Acker-Mills, A Maresca, RE Patterson, E Curtis, ... Military Psychology, 1-13, 2023 | 1 | 2023 |
| Impact of video content and resolution on the cognitive dynamics of surveillance decision‐making ME Frame, AM Maresca, AS Boydstun, R Warren Journal of Behavioral Decision Making 35 (3), e2267, 2022 | 1 | 2022 |
| Decision Support Systems for Route Planning: Impacts on Performance and Trust M Frame, J Armstrong, B Schlessman 13th International Conference on Applied Human Factors and Ergonomics (AHFE …, 2022 | 1 | 2022 |
| Building the Future of Intelligence, Surveillance, and Reconnaissance (ISR) Collections: The Development and Evaluation of a Collaborative ISR Tool to Support Intel Analysts JM Nelson, TL Heggedahl, ME Frame, AM Maresca, BR Schlessman 2023 IEEE International Conference on Intelligence and Security Informatics …, 2023 | | 2023 |
| WRIGHT-PATTERSON AIR FORCE BASE, OH 45433 AIR FORCE MATERIEL COMMAND UNITED STATES AIR FORCE JM Nelson, A Maresca, M Frame, B Schlessman, S Perry | | 2023 |
| A Cognitive Model for Guiding Automation C Stevens, C Fisher, M Frame Human Factors and Simulation 83 (83), 2023 | | 2023 |
