Jacob W. Crandall

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Michael A. GoodrichComputer Science Department, Brigham Young UniversityVerified email at cs.byu.edu
Iyad RahwanCenter for Humans & Machines, Max Planck Institute for Human DevelopmentVerified email at mpib-berlin.mpg.de
M. CummingsProfessor, George Mason UniversityVerified email at gmu.edu
Jean-François BonnefonToulouse School of Economics - TSMR - IAST - CNRS - ANITIVerified email at tse-fr.eu
Manuel CebrianSpanish National Research CouncilVerified email at csic.es
Azim ShariffProfessor; University of British ColumbiaVerified email at psych.ubc.ca
Carl NehmeVerified email at mit.edu
Mayada OudahNew York University Abu DhabiVerified email at nyu.edu
Sherief AbdallahBritish University in DubaiVerified email at buid.ac.ae
Subramanian RamamoorthyProfessor of Robot Learning and Autonomy, School of Informatics, University of EdinburghVerified email at ed.ac.uk
Stefano V. AlbrechtSchool of Informatics, University of EdinburghVerified email at ed.ac.uk
Thomas J. PalmerVerified email at tjpalmer.com
Wen ShenUCIVerified email at uci.edu
Cristina Videira LopesInformation and Computer Sciences, University of California, IrvineVerified email at ics.uci.edu
Emilia Barakovaassistant professor, Eindhoven University of TechnologyVerified email at tue.nl
Zaid AlmahmoudResearch Fellow, University of SurreyVerified email at surrey.ac.uk
Morgan QuigleyOpen Source Robotics FoundationVerified email at osrfoundation.org
Maria GiniProfessor of Computer Science and Engineering, University of MinnesotaVerified email at umn.edu
Joshua McClellanStaff at Johns Hopkins Applied Physics Lab (JHU/APL)Verified email at jhuapl.edu
Nathan J. AndersonThe Church of Jesus Christ of Latter-day SaintsVerified email at churchofjesuschrist.org

Jacob W. Crandall

Professor of Computer Science, Brigham Young University

Verified email at cs.byu.edu - Homepage

Artificial intelligence human-machine interaction multi-agent systems machine learning game theory


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Machine behaviour I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ... Nature 568, 477-486, 2019	1246	2019
Validating human-robot interaction schemes in multitasking environments JW Crandall, MA Goodrich, DR Olsen, CW Nielsen IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2005	355	2005
Experiments in adjustable autonomy MA Goodrich, DR Olsen, JW Crandall, TJ Palmer Proceedings of IJCAI Workshop on autonomy, delegation and control …, 2001	314	2001
Cooperating with machines JW Crandall, M Oudah, Tennom, F Ishowo-Oloko, S Abdallah, ... Nature communications 9 (1), 233, 2018	247	2018
Characterizing efficiency of human robot interaction: A case study of shared-control teleoperation JW Crandall, MA Goodrich IEEE/RSJ international conference on intelligent robots and systems 2, 1290-1295, 2002	202	2002
Behavioural evidence for a transparency–efficiency tradeoff in human–machine cooperation F Ishowo-Oloko, JF Bonnefon, Z Soroye, J Crandall, I Rahwan, T Rahwan Nature Machine Intelligence 1 (11), 517-521, 2019	168	2019
Managing autonomy in robot teams: observations from four experiments MA Goodrich, TW McLain, JD Anderson, J Sun, JW Crandall Proceedings of the ACM/IEEE international conference on Human-robot …, 2007	157	2007
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	114	2007
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	100	2007
Teleoperation and beyond for assistive humanoid robots MA Goodrich, JW Crandall, E Barakova Reviews of Human factors and ergonomics 9 (1), 175-226, 2013	89	2013
Belief and truth in hypothesised behaviours SV Albrecht, JW Crandall, S Ramamoorthy Artificial Intelligence 235, 63-94, 2016	88	2016
Experiments in adjustable autonomy JW Crandall, MA Goodrich 2001 IEEE International Conference on Systems, Man and Cybernetics. e …, 2001	87	2001
Identifying predictive metrics for supervisory control of multiple robots JW Crandall, ML Cummings IEEE Transactions on Robotics 23 (5), 942-951, 2007	86	2007
Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning JW Crandall, MA Goodrich Machine Learning 82, 281-314, 2011	81	2011
An operator function taxonomy for unmanned aerial vehicle missions CE Nehme, JW Crandall, ML Cummings 12th international command and control research and technology symposium, 19-21, 2007	66*	2007
Computing the effects of operator attention allocation in human control of multiple robots JW Crandall, ML Cummings, M Della Penna, PMA De Jong IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010	63	2010
Learning to compete, compromise, and cooperate in repeated general-sum games JW Crandall, MA Goodrich Proceedings of the 22nd international conference on Machine learning, 161-168, 2005	61	2005
Towards predicting robot team performance JW Crandall, CW Nielsen, MA Goodrich SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems …, 2003	56	2003
Neglect tolerant teaming: Issues and dilemmas MA Goodrich, JW Crandall, JL Stimpson Proceedings of the 2003 AAAI Spring Symposium on Human Interaction with …, 2003	48	2003
Towards minimizing disappointment in repeated games JW Crandall Journal of Artificial Intelligence Research 49, 111-142, 2014	47	2014

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