Jacob W. Crandall

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	All	Since 2016
Citations	2558	1153
h-index	26	18
i10-index	42	30

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Co-authors

Michael A. GoodrichComputer Science Department, Brigham Young UniversityVerified email at cs.byu.edu
M. CummingsProfessor, Duke UniversityVerified email at duke.edu
Iyad RahwanCenter for Humans & Machines, Max Planck Institute for Human DevelopmentVerified email at mpib-berlin.mpg.de
Carl NehmeVerified email at mit.edu
Jean-François BonnefonToulouse School of Economics - TSMR - IAST - CNRS - ANITIVerified email at tse-fr.eu
Mayada OudahNew York University Abu DhabiVerified email at nyu.edu
Manuel CebrianMax Planck Research Group Leader, Max Planck Institute for Human DevelopmentVerified email at mpib-berlin.mpg.de
Azim ShariffAssociate Professor; University of British ColumbiaVerified email at psych.ubc.ca
Thomas J. PalmerPhD Candidate, School of Computer Science, University of OklahomaVerified email at ou.edu
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
Sherief AbdallahUniversity of Edinburgh and British University in DubaiVerified email at ieee.org
Wen ShenTulane UniversityVerified email at uci.edu
Tim McLainProfessor of Mechanical Engineering, Brigham Young UniversityVerified email at byu.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
Maria GiniProfessor of Computer Science and Engineering, University of MinnesotaVerified email at umn.edu
Nicholas Johnson3M, University of MinnesotaVerified email at cs.umn.edu
Morgan QuigleyOpen Source Robotics FoundationVerified email at osrfoundation.org
Zaid AlmahmoudResearch Associate of Computer Science, Khalifa University of Science & TechnologyVerified email at kustar.ac.ae

Jacob W. Crandall

Associate 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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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	304	2005
Experiments in adjustable autonomy MA Goodrich, DR Olsen, JW Crandall, TJ Palmer Proceedings of IJCAI Workshop on autonomy, delegation and control …, 2001	273	2001
Machine behaviour I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ... Nature 568 (7753), 477-486, 2019	249	2019
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	164	2002
Managing autonomy in robot teams: observations from four experiments MA Goodrich, TW McLain, JD Anderson, J Sun, JW Crandall 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2007	133	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	101	2007
Cooperating with machines JW Crandall, M Oudah, F Ishowo-Oloko, S Abdallah, JF Bonnefon, ... Nature communications 9 (1), 1-12, 2018	94	2018
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	83	2007
Identifying predictive metrics for supervisory control of multiple robots JW Crandall, ML Cummings IEEE Transactions on Robotics 23 (5), 942-951, 2007	80	2007
Experiments in adjustable autonomy JW Crandall, MA Goodrich 2001 IEEE International Conference on Systems, Man and Cybernetics. e …, 2001	75	2001
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	56*	2007
Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning JW Crandall, MA Goodrich Machine Learning 82 (3), 281-314, 2011	52	2011
Teleoperation and beyond for assistive humanoid robots MA Goodrich, JW Crandall, E Barakova Reviews of Human factors and ergonomics 9 (1), 175-226, 2013	51	2013
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	51	2005
Towards predicting robot team performance JW Crandall, CW Nielsen, MA Goodrich SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems …, 2003	48	2003
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	46	2010
Belief and truth in hypothesised behaviours SV Albrecht, JW Crandall, S Ramamoorthy Artificial Intelligence 235, 63-94, 2016	43	2016
Neglect tolerant teaming: Issues and dilemmas MA Goodrich, JW Crandall, JL Stimpson Proceedings of the 2003 AAAI Spring Symposium on Human Interaction with …, 2003	41	2003
The impact of heterogeneity on operator performance in futuristic unmanned vehicle systems CE Nehme, B Mekdeci, JW Crandall, ML Cummings MASSACHUSETTS INST OF TECH CAMBRIDGE HUMANS AND AUTOMATION LAB, 2009	36	2009
Identifying generalizable metric classes to evaluate human-robot teams P Pina, ML Cummings, JW Crandall, M Della Penna Proc. 3rd Ann. Conf. Human-Robot Interaction, 13-20, 2008	36	2008

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