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.
Data Sciences for JMPS awarded by Charles River Analytics Inc. (Principal Investigator). 2019 to 2020
Planning Grant: Engineering Research Center for Aerospace Autonomy Center of Excellence (AACE) awarded by National Science Foundation (Principal Investigator). 2019 to 2020
Assessing and Mitigating Inappropriate Risk Perception in the Design of Complex Space Systems awarded by Johns Hopkins University Applied Physics Laboratory (Principal Investigator). 2017 to 2019
A systems-theoretic model for rail dispatch/operations centers awarded by Federal Railroad Administration (Principal Investigator). 2015 to 2019
End-User Speech Recognition Support Tools for Crew Resource Management Training Systems awarded by Optimal Synthesis, Inc. (Principal Investigator). 2017 to 2018
Planning IUCRC Duke University: Center for Alternative Sustainable and Intelligent Computing awarded by National Science Foundation (Co-Principal Investigator). 2017 to 2018
Risk-aware, Human-cooperative Planning for Autonomous Systems awarded by Jet Propulsion Lab (Principal Investigator). 2015 to 2018
Determining UAV/UGV Training Effectiveness as Autonomy Increases awarded by Army Research Laboratory (Principal Investigator). 2014 to 2018
On-Demand Personal Autonomous Aircraft: Conceiving the Future through a Systems-Theoretic Approach awarded by National Institute of Aerospace (Principal Investigator). 2016 to 2018
Modeling Intent Communication Pathways for Human-Autonomous System Collaboration awarded by National Science Foundation (Principal Investigator). 2015 to 2017
Boyer, M., et al. “Investigating mental workload changes in a long duration supervisory control task.” Interacting With Computers, vol. 27, no. 5, Sept. 2015, pp. 512–20. Scopus, doi:10.1093/iwc/iwv012. Full Text
Cummings, M. L., and A. S. Clare. “Holistic modelling for human-autonomous system interaction.” Theoretical Issues in Ergonomics Science, vol. 16, no. 3, May 2015, pp. 214–31. Scopus, doi:10.1080/1463922X.2014.1003990. Full Text
Ryan, J. C., and M. L. Cummings. “Effects of safety protocols on unmanned vehicle ground operations.” Journal of Aerospace Information Systems, vol. 12, no. 7, Jan. 2015, pp. 431–40. Scopus, doi:10.2514/1.I010293. Full Text
Sasangohar, Farzan, et al. “Supervisory-level interruption recovery in time-critical control tasks.” Applied Ergonomics, vol. 45, no. 4, July 2014, pp. 1148–56. Epmc, doi:10.1016/j.apergo.2014.02.005. Full Text
Ryan, Jason C., et al. “Comparing the performance of expert user heuristics and an integer linear program in aircraft carrier deck operations.” Ieee Transactions on Cybernetics, vol. 44, no. 6, June 2014, pp. 761–73. Epmc, doi:10.1109/tcyb.2013.2271694. Full Text
Cummings, M. L., et al. “Task versus vehicle-based control paradigms in multiple unmanned vehicle supervision by a single operator.” Ieee Transactions on Human Machine Systems, vol. 44, no. 3, Jan. 2014, pp. 353–61. Scopus, doi:10.1109/THMS.2014.2304962. Full Text
Gao, F., et al. “Modeling teamwork in supervisory control of multiple robots.” Ieee Transactions on Human Machine Systems, vol. 44, no. 4, Jan. 2014, pp. 441–53. Scopus, doi:10.1109/THMS.2014.2312391. Full Text
Cummings, M. L., and J. Ryan. “Who is in charge?: The promises and pitfalls of driverless cars.” Tr News, no. 292, Jan. 2014, pp. 25–30.
Stimpson, A. J., and M. L. Cummings. “Assessing intervention timing in computer-based education using machine learning algorithms.” Ieee Access, vol. 2, Jan. 2014, pp. 78–87. Scopus, doi:10.1109/ACCESS.2014.2303071. Full Text
Nneji, V. C., et al. “Exploring concepts of operations for on-demand passenger air transportation.” 17th Aiaa Aviation Technology, Integration, and Operations Conference, 2017, 2017. Scopus, doi:10.2514/6.2017-3085. Full Text
Solovey, E. T., et al. “A field study of multimodal alerts for an autonomous threat detection system.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10276 LNAI, 2017, pp. 393–412. Scopus, doi:10.1007/978-3-319-58475-1_29. Full Text
Susindar, S., et al. “Investigating the location of an interruption recovery tool for supervisory-level command and control missions.” Proceedings of the Human Factors and Ergonomics Society, vol. 2017-October, 2017, pp. 56–57. Scopus, doi:10.1177/1541931213601509. Full Text
Aubert, M., et al. “Interaction design considerations for an aircraft carrier deck agent-based simulation.” Ieee Aerospace Conference Proceedings, vol. 2016-June, 2016. Scopus, doi:10.1109/AERO.2016.7500894. Full Text
Cummings, M. L., et al. “Functional requirements for onboard intelligent automation in single pilot operations.” Aiaa Infotech @ Aerospace Conference, 2016.
Stimpson, A. J., et al. “Assessing pilot workload in single-pilot operations with advanced autonomy.” Proceedings of the Human Factors and Ergonomics Society, 2016, pp. 675–79. Scopus, doi:10.1177/1541931213601155. Full Text
Cummings, M. L., et al. “Functional requirements for onboard intelligent automation in single pilot operations.” Aiaa Infotech @ Aerospace Conference, 2016. Scopus, doi:10.2514/6.2016-1652. Full Text
Aubert, M. C., et al. “Toward the development of a low-altitude air traffic control paradigm for networks of small, Autonomous unmanned aerial vehicles.” Aiaa Infotech at Aerospace, 2015.
Hutchins, A. R., et al. “Representing autonomous systems' self-confidence through competency boundaries.” Proceedings of the Human Factors and Ergonomics Society, vol. 2015-January, 2015, pp. 279–83. Scopus, doi:10.1177/1541931215591057. Full Text