M. Cummings

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Carl NehmeVerified email at mit.edu
Stacey D. ScottAssociate Professor, School of Computer Science, University of Guelph, Guelph, Ontario, CanadaVerified email at uoguelph.ca
Jacob W. CrandallProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Stephanie GuerlainAssociate Professor, University of VirginiaVerified email at virginia.edu
Jason RyanPhD Candidate, MIT HAL Lab and Engineering Systems DivisionVerified email at mit.edu
Luca F. BertuccelliUnited TechnologiesVerified email at utrc.utc.com
Farzan SasangoharIndustrial and Systems Engineering, Texas A&M UniversityVerified email at tamu.edu
Erin SoloveyComputer Science Department, Worcester Polytechnic InstituteVerified email at wpi.edu
Jamie MacbethAssistant Professor, Smith CollegeVerified email at smith.edu
Ryan KilgoreAurora Flight SciencesVerified email at radiusinnovation.com
Victoria Chibuogu Nneji, Ph.D.Duke UniversityVerified email at duke.edu
Carina Furusho-PercotResearch Centre Jülich (FZJ), INRAE (en disponibilite)Verified email at fz-juelich.de
THOMAS B. SHERIDANMITVerified email at mit.edu
Mahmoud ElfarPhD Student, Duke UniversityVerified email at duke.edu
Miroslav PajicDickinson Family Associate Professor, Duke UniversityVerified email at duke.edu
Ashis Gopal BanerjeeAssociate Professor, University of WashingtonVerified email at u.washington.edu
Jon PlattsCardiff Metropolitan UniversityVerified email at cardiffmet.ac.uk
Amit SuranaUnited Technolgies Research CenterVerified email at utrc.utc.com
Kris HauserProfessor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Axel SchulteProfessor Aircraft Dynamics & Flight Guidance, University of the Bundeswehr MunichVerified email at unibw.de

M. Cummings

Professor, Duke University

Verified email at duke.edu

human computer interaction human robot interaction human factors human systems engineering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Automation architecture for single operator, multiple UAV command and control ML Cummings, S Bruni, S Mercier, PJ Mitchell Massachusetts Inst Of Tech Cambridge, 2007	273	2007
Automation bias in intelligent time critical decision support systems M Cummings AIAA 1st intelligent systems technical conference, 6313, 2004	265	2004
Artificial intelligence and the future of warfare M Cummings Chatham House for the Royal Institute of International Affairs, 2017	216*	2017
Developing operator capacity estimates for supervisory control of autonomous vehicles ML Cummings, S Guerlain Human factors 49 (1), 1-15, 2007	210	2007
Predicting controller capacity in supervisory control of multiple UAVs ML Cummings, PJ Mitchell IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2008	191*	2008
Evaluation of vehicle-to-pedestrian communication displays for autonomous vehicles M Clamann, M Aubert, ML Cummings Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017	186	2017
Integrating ethics in design through the value-sensitive design approach ML Cummings Science and engineering ethics 12 (4), 701-715, 2006	166	2006
Boredom in the workplace: A new look at an old problem ML Cummings, F Gao, KM Thornburg Human factors 58 (2), 279-300, 2016	149	2016
Automation and accountability in decision support system interface design ML Cummings Journal of Technology Studies, 2006	145	2006
Boredom and distraction in multiple unmanned vehicle supervisory control ML Cummings, C Mastracchio, KM Thornburg, A Mkrtchyan Interacting with computers 25 (1), 34-47, 2013	121	2013
The role of human-automation consensus in multiple unmanned vehicle scheduling ML Cummings, A Clare, C Hart Human Factors 52 (1), 17-27, 2010	119	2010
Man versus machine or man+ machine? MM Cummings IEEE Intelligent Systems 29 (5), 62-69, 2014	116	2014
The need for command and control instant message adaptive interfaces: Lessons learned from Tactical Tomahawk human-in-the-loop simulations ML Cummings CyberPsychology & Behavior 7 (6), 653-661, 2004	112	2004
Developing performance metrics for the supervisory control of multiple robots JW Crandall, ML Cummings Proceedings of the ACM/IEEE international conference on Human-robot …, 2007	111	2007
Collaborative human–automation decision making ML Cummings, S Bruni Springer handbook of automation, 437-447, 2009	95	2009
Predicting operator capacity for supervisory control of multiple UAVs ML Cummings, CE Nehme, J Crandall, P Mitchell Innovations in Intelligent Machines-1, 11-37, 2007	92	2007
The impact of human–automation collaboration in decentralized multiple unmanned vehicle control ML Cummings, JP How, A Whitten, O Toupet Proceedings of the IEEE 100 (3), 660-671, 2011	91	2011
Effects of single versus multiple warnings on driver performance ML Cummings, RM Kilgore, E Wang, L Tijerina, DS Kochhar Human factors 49 (6), 1097-1106, 2007	90	2007
Identifying predictive metrics for supervisory control of multiple robots JW Crandall, ML Cummings IEEE Transactions on Robotics 23 (5), 942-951, 2007	84	2007
Modeling workload impact in multiple unmanned vehicle supervisory control B Donmez, C Nehme, ML Cummings IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010	83	2010

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