Human AI Teaming Publications
Publications by the authors related to Human AI or Human Agent Teaming.
Journal Publications
1. Colombi, J.; Miller, M.E.; Schneider M.; McGrogan, J.; Long, D.S.; and Plaga, J. (2012). Predictive Mental Workload Modeling for Semi-Autonomous System Design: Implications for Systems of Systems, Systems Engineering, 15(4), 448-460. 2. Bindewald, J.M., Miller, M.E. and Peterson, G.L. (2014). A Function-To-Task Model for Adaptive Automation System Design. International Journal of Human-Computer Studies, 72(12), 822-834. doi: 10.1016/j.ijhcs.2014.07.004
3. Watson, M., Rusnock, C.F., Colombi, J.M. and Miller, M.E. (2017). Informing System Design Using Human Performance Modeling, Systems Engineering, 20(2), 173-187, doi: 10.1002/sys.21388.
4. Watson, M., Rusnock, C.F., Colombi, J.M. and Miller, M.E. (2017). Human-centered design using system modeling language, Journal of Cognitive Engineering and Decision Making, 11(3), 252-269. doi: 10.1177/1555343417705255.
5. Goodman, T.J., Miller, M.E., Rusnock, C.F. and Bindewald, J.M. (2017). Effects of Agent Timing on the Human-Agent Team, Cognitive Systems Research, 46, 40-51. https://doi.org/10.1016/j.cogsys.2017.02.007.
6. Bindewald, J.M. Miller, M.E. and Peterson, G.L. (2019). Creating Effective Automation to Maintain Explicit User Engagement, International Journal of Human-Computer Interaction, 36(4), 341-354. doi: 10.1080/10447318.2019.1642618.
7. Johnson, C., Miller, M.E., Rusnock, C.F. and Jacques, D.J. (2020). Applying Control Abstraction to the Design of Human-Agent Teams, Systems, 8(2), 1-15. https://www.mdpi.com/2079-8954/8/2/10.
8. Miller, M.E., McGuirl, J.M., Schneider, M.F. and Ford, T.C. (2020). A Language and Method to Permit Modeling of Human-Agent Teams, Systems Engineering, 23(5), 519-533. https://onlinelibrary.wiley.com/doi/abs/10.1002/sys.21546.
9. Schneider, M., Miller, M., Ford, T., Peterson, G. and Jacques, D. (2021). Exploring Intent for Improved Human-Agent Team Coordination, Journal of Cognitive Engineering and Decision Making, 15(2-3). https://journals.sagepub.com/doi/10.1177/15553434211010573.
10. Kamrud, A., Borghetti, B., Schubert Kabban, C. and Miller, M. (2021). Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks, MDPI Sensors, 21(16), p.5617. https://doi.org/10.3390/s21165617.
11. Schneider, M.F., Miller, M.E., Ford, T.C., Peterson, G. and Jacques, D. (2022). Intent Integration for Human-Agent Teaming, Systems Engineering, 25(4), 291-303. https://onlinelibrary.wiley.com/doi/epdf/10.1002/sys.21616.
12. Miller, M.E. and Spatz, E. (2022) A unified view of a Human Digital Twin, Human-Intelligent Systems Integration, 4(2), 23-33. https://doi.org/10.1007/s42454-022-00041-x.
13. Schneider, M.F., Engle, N., Miller, M.E., Peterson, G. (2022). Estimating operationalized intent using random forests, Human-Intelligent Systems Integration, 4(3), 53-69. https://link.springer.com/article/10.1007/s42454-022-00043-9.
14. Schneider, M.F., Miller, M.E., McGuirl, J. (2023). Assessing quality goal rankings as a method for communicating operator intent, Journal of Cognitive Engineering and Decision Making. 17(1), 26-48. https://doi.org/10.1177/15553434221131665.
15. Lapso, J.A., Peterson, G.L. and Miller, M.E. (2023) A hybrid cognitive model for machine agents, Cognitive Systems Research, 81, 1-10. https://doi.org/10.1016/j.cogsys.2023.02.007.
16. Grimm, M.A., Peterson, G. and Miller, M.E. (2023). Imitating Human Responses via a Dual-Process Model, Cognitive Systems Research, 81, 11-24. https://doi.org/10.1016/j.cogsys.2023.02.006.
17. Duncan, M.C., Miller, M.E. and Borghetti, B.J. (2023). Analysis of and Requirement Generation for Defense Intelligence Search: Addressing Data Overload through Human-AI Agent System Design for Ambient Awareness, MDPI Systems, 11, 561-590, https://doi.org/10.3390/systems11120561.
Conference Proceedings
1. Miller, C.A., Miller, M.E. and Calhoun, G.L. (2014). Triggering Changes in Adaptive Automation: Evaluation of Task Performance, Priority and Frequency. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA.
2. Bindewald, J.M., Peterson, G.L. and Miller, M.E. (2015). Trajectory Generation with Player Modeling. Proceedings of AI 2015 – Canadian Artificial Intelligence Conference. Halifax, Nova Scotia, CA.
3. Boeke, D.K., Miller, M.E., Rusnock, C.F. and Borghetti, B.J. (2015). Exploring Individualized Objective Workload Prediction with Feedback for Adaptive Automation. Proceedings of the 2015 Industrial and Systems Engineering Research Conference, Nashville, TN.
4. Goodman, T., Miller, M.E., Rusnock, C.F. (2015). Incorporating Automation: Using Modeling and Simulation to Enable Task Re-Allocation. Proceedings of the 2015 Winter Simulation Conference, Huntington Beach, CA.
5. Goodman, T., Miller, M.E., Rusnock, C.F. (2016). Timing Within Human-Agent Interaction and its Effect on Team Performance and Human Behavior, Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, San Diego, CA.
6. Watson, M.E., Rusnock, C.F., Miller, M.E., & Colombi, J.M. (2016). Performing System Tradeoff Analyses Using Human Performance Modeling, Proceedings of the Human Factors and Ergonomics Society 2016 Annual Meeting, Washington, DC. 7. Bindewald, J.M., Peterson, G.L., Miller, M.E. (2016). Clustering-Based Online Player Modeling. International Joint Conference on Artificial Intelligence (IJCAI)-Computer Games Workshop.
8. Rusnock, C.F., Miller, M.E., Bindewald, J.M. (2017). Observations on Trust, Reliance, and Performance Measurement in Human-Automation Team Assessment, Proceedings of the 2017 Industrial and Systems Engineering Conference, Pittsburg, PA.
9. Turner, K. & Miller, M.E. (2017). The Effect of Automation and Workspace Design on Humans’ Ability to Recognize Patterns in Data While Fusing Information, Proceedings of the 2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management, Savannah, GA.
10. Johnson, C.D., Miller, M.E., Rusnock, C.F, Jacques, D.R. (2017). A Framework for Understanding Automation in Terms of Levels of Human Control Abstraction. 2017 IEEE International Conference on Systems, Man, and Cybernetics, Banff, CA.
11. Schneider, M.F., Bragg, I.L., Henderson, J.P., and Miller, M.E. (2018). Human Engagement with Event Rate Driven Adaptation of Automated Agents, Industrial and Systems Engineering Research Conference, Orlando, FL.
12. Hillesheim, A., Rusnock, C., Miller, M.E., Bindewald, J. (2018). Simulation of Human-Agent Team Performance in Reduced Reliability Environments, Industrial and Systems Engineering Research Conference, Orlando, FL.
13. Schneider, M. and Miller, M.E. (2018). Operationalized Intent for Communication in Human-Agent Teams, IEEE Conference on Cognitive and Computational Aspects of Situation Management, Boston, MA.
14. Canzonetta, D.J. and Miller, M.E. (2019). Adaptive Artificial Agent Response Time Impact on Human-Agent Team Performance, Industrial and Systems Research Conference, Orlando, FL.
15. Andrews, J.M., Rusnock, C.F., Miller, M.E. and Meador, D.P. (2020) Reshaping airpower: Development of an IMPRINT model to analyze the effects of manned-unmanned teaming on operator mental workload, Proceedings of the 2020 Winter Simulation Conference, Online.
16. Schneider, M.F., Miller, M.E. and McGuirl, J. (2020) Tracking operator intent in tactical operations, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Online.
17. Andrews, J.M., Rusnock, C.F., Miller, M.E. and Meador, D.P. (2020) Simulation-based evaluation of the Effects of varying degrees of control abstraction for manned-unmanned teaming on mental workload of pilots, Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Online.
18. LaMonica, D.A, Drnec, K. and Miller, M.E. (2022) Employing MBSE to Assess and Evaluate Human Teaming in Military Aviation Command and Control, 2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS), Orlando, FL.