Mary "Missy" Cummings
Professor in the Department of Electrical and Computer Engineering
Mary "Missy" Cummings received her B.S. in Mathematics from the US Naval Academy in 1988, her M.S. in Space Systems Engineering from the Naval Postgraduate School in 1994, and her Ph.D. in Systems Engineering from the University of Virginia in 2004.
A naval officer and military pilot from 1988-1999, she was one of the Navy's first female fighter pilots.
Cummings is currently a Professor in the Duke University Pratt School of Engineering, the Duke Institute of Brain Sciences, and is the director of the Humans and Autonomy Laboratory and Duke Robotics. Her research interests include human-unmanned vehicle interaction, human-autonomous system collaboration, human-systems engineering, public policy implications of unmanned vehicles, and the ethical and social impact of technology.
NHTSA IPA awarded by US Department of Transportation (Principal Investigator). 2021 to 2023
Investigating the Tradespace Between Increased Automation and Optimal Manning for Aircraft Carrier Decks awarded by Office of Naval Research (Principal Investigator). 2018 to 2022
Portable motion-stabilized optical coherence tomography for eye care in acute care settings awarded by National Institutes of Health (Co Investigator). 2018 to 2022
REU Site for Meeting the Grand Challenges in Engineering awarded by National Science Foundation (Mentor). 2017 to 2022
Developing Regional Dispatch Decision Support for Congestion Mitigation awarded by North Carolina State University (Principal Investigator). 2020 to 2021
Modeling the impact of increasing autonomy on core cognitive abilities in unmanned system operation awarded by Office of Naval Research (Principal Investigator). 2016 to 2021
Collaborative Sciences Center for Road Safety awarded by University of North Carolina - Chapel Hill (Principal Investigator). 2016 to 2021
Pfizer awarded by Pfizer, Inc. (Principal Investigator). 2018 to 2021
NRI: FND: COLLAB: Drones and the Design of Public Outdoor Spaces awarded by National Science Foundation (Principal Investigator). 2017 to 2021
Development of Control-Aware Cyber Techniques for Attack-Resilient Industrial Control & Combat Systems awarded by University of Pennsylvania (Co-Principal Investigator). 2017 to 2020
Cummings, M. L., and C. E. Nehme. “Modeling the impact of workload in Network Centric supervisory control settings.” Neurocognitive and Physiological Factors During High-Tempo Operations, 2018, pp. 23–39.
Gao, F., et al. “Designing for robust and effective teamwork in human-agent teams.” Robust Intelligence and Trust in Autonomous Systems, 2016, pp. 167–90. Scopus, doi:10.1007/978-1-4899-7668-0_9. Full Text
Goodrich, M. A., and M. L. Cummings. “Human factors perspective on next generation unmanned aerial systems.” Handbook of Unmanned Aerial Vehicles, 2015, pp. 2405–23. Scopus, doi:10.1007/978-90-481-9707-1_23. Full Text
Cummings, M. L., and C. E. Nehme. “Modeling the impact of workload in network centric supervisory control settings.” Neurocognitive and Physiological Factors During High-Tempo Operations, 2010, pp. 23–39.
Donmez, B., et al. Evaluation criteria for human-automation performance metrics. 2009, pp. 21–40. Scopus, doi:10.1007/978-1-4419-0492-8_2. Full Text
Cummings, M. L., and S. Guerlain. “Using a chat interface as an embedded secondary tasking tool.” Human Performance Situation Awareness and Automation: Current Research and Trends, vol. 1–2, 2004, pp. 240–44. Scopus, doi:10.4324/9781410610997. Full Text
Cummings, M. L., et al. “Defining the Tradespace for Passively Defending Against Rogue Drones.” Journal of Intelligent and Robotic Systems: Theory and Applications, vol. 103, no. 4, Dec. 2021. Scopus, doi:10.1007/s10846-021-01524-w. Full Text
Cummings, M. L., and S. Li. “Subjectivity in the Creation of Machine Learning Models.” Journal of Data and Information Quality, vol. 13, no. 2, May 2021. Scopus, doi:10.1145/3418034. Full Text
Cummings, M., et al. “The Impact of Increasing Autonomy on Training Requirements in a UAV Supervisory Control Task.” Journal of Cognitive Engineering and Decision Making, vol. 13, no. 4, Dec. 2019, pp. 295–309. Scopus, doi:10.1177/1555343419868917. Full Text
Zhu, H., et al. “Operator Strategy Model Development in UAV Hacking Detection.” Ieee Transactions on Human Machine Systems, vol. 49, no. 6, Dec. 2019, pp. 540–49. Scopus, doi:10.1109/THMS.2018.2888578. Full Text
Cummings, M. L. “Lethal Autonomous Weapons: Meaningful Human Control or Meaningful Human Certification? [Opinion].” Ieee Technology and Society Magazine, vol. 38, no. 4, Dec. 2019, pp. 20–26. Scopus, doi:10.1109/MTS.2019.2948438. Full Text
Cummings, M. L., and P. W. Quimby. “The power of collective intelligence in a signal detection task.” Theoretical Issues in Ergonomics Science, vol. 19, no. 3, May 2018, pp. 375–88. Scopus, doi:10.1080/1463922X.2017.1381776. Full Text
Cummings, M. “Informing Autonomous System Design Through the Lens of Skill-, Rule-, and Knowledge-Based Behaviors.” Journal of Cognitive Engineering and Decision Making, vol. 12, no. 1, Mar. 2018, pp. 58–61. Scopus, doi:10.1177/1555343417736461. Full Text
Ryan, J. C., and M. L. Cummings. “A Systems Analysis of the Introduction of Unmanned Aircraft Into Aircraft Carrier Operations.” Ieee Transactions on Human Machine Systems, vol. 46, no. 2, Apr. 2016, pp. 209–20. Scopus, doi:10.1109/THMS.2014.2376355. Full Text
Cummings, Mary L., et al. “Boredom in the Workplace: A New Look at an Old Problem.” Human Factors, vol. 58, no. 2, Mar. 2016, pp. 279–300. Epmc, doi:10.1177/0018720815609503. Full Text
Clare, Andrew S., et al. “Influencing Trust for Human-Automation Collaborative Scheduling of Multiple Unmanned Vehicles.” Human Factors, vol. 57, no. 7, Nov. 2015, pp. 1208–18. Epmc, doi:10.1177/0018720815587803. Full Text
Alaparthy, V., et al. “Machine Learning vs. Human Performance in the Realtime Acoustic Detection of Drones.” Ieee Aerospace Conference Proceedings, vol. 2021-March, 2021. Scopus, doi:10.1109/AERO50100.2021.9438533. Full Text
Zhu, H., et al. “Quantitative operator strategy comparisons across human supervisory control scenarios.” Ieee International Conference on Intelligent Robots and Systems, 2020, pp. 10968–74. Scopus, doi:10.1109/IROS45743.2020.9341135. Full Text
Mandal, S., et al. “Acoustic detection of drones through real-time audio attribute prediction.” Aiaa Scitech 2020 Forum, vol. 1 PartF, 2020, pp. 1–13. Scopus, doi:10.2514/6.2020-0491. Full Text
Zhu, H., and M. L. Cummings. “The Stability of Human Supervisory Control Operator Behavioral Models Using Hidden Markov Models.” Ieee International Conference on Intelligent Robots and Systems, 2019, pp. 6971–78. Scopus, doi:10.1109/IROS40897.2019.8968537. Full Text
Elfar, M., et al. “Security-aware synthesis of human-UAV protocols.” Proceedings Ieee International Conference on Robotics and Automation, vol. 2019-May, 2019, pp. 8011–17. Scopus, doi:10.1109/ICRA.2019.8794385. Full Text
Brummel, E. S., et al. “Identifying and Mitigating Barriers to the Adoption of Dynamic Radioisotope Power Systems for Space Flight.” Ieee Aerospace Conference Proceedings, vol. 2019-March, 2019. Scopus, doi:10.1109/AERO.2019.8742171. Full Text
Zhu, H., et al. “Human augmentation of UAV cyber-attack detection.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10916 LNAI, 2018, pp. 154–67. Scopus, doi:10.1007/978-3-319-91467-1_13. Full Text
Nneji, V. C., et al. “Functional requirements for remotely managing fleets of on-demand passenger aircraft.” Aiaa Aerospace Sciences Meeting, 2018, vol. 0, no. 210059, 2018. Scopus, doi:10.2514/6.2018-2007. Full Text
Stimpson, A. J., et al. “Modeling risk perception for mars rover supervisory control: Before and after wheel damage.” Ieee Aerospace Conference Proceedings, 2017. Scopus, doi:10.1109/AERO.2017.7943871. Full Text
Elfar, M., et al. “WiP abstract: Platform for security-aware design of human-on-the-loop cyber-physical systems.” Proceedings 2017 Acm/Ieee 8th International Conference on Cyber Physical Systems, Iccps 2017 (Part of Cps Week), 2017, p. 93. Scopus, doi:10.1145/3055004.3064846. Full Text