Jacob W. Crandall
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Machine behaviour
I Rahwan, M Cebrian, N Obradovich, J Bongard, JF Bonnefon, C Breazeal, ...
Nature 568 (7753), 477-486, 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
Experiments in adjustable autonomy
MA Goodrich, DR Olsen, JW Crandall, TJ Palmer
Proceedings of IJCAI Workshop on autonomy, delegation and control …, 2001
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
Cooperating with machines
JW Crandall, M Oudah, F Ishowo-Oloko, S Abdallah, JF Bonnefon, ...
Nature communications 9 (1), 1-12, 2018
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
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
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
Identifying predictive metrics for supervisory control of multiple robots
JW Crandall, ML Cummings
IEEE Transactions on Robotics 23 (5), 942-951, 2007
Experiments in adjustable autonomy
JW Crandall, MA Goodrich
2001 IEEE International Conference on Systems, Man and Cybernetics. e …, 2001
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
Teleoperation and beyond for assistive humanoid robots
MA Goodrich, JW Crandall, E Barakova
Reviews of Human factors and ergonomics 9 (1), 175-226, 2013
Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning
JW Crandall, MA Goodrich
Machine Learning 82 (3), 281-314, 2011
Belief and truth in hypothesised behaviours
SV Albrecht, JW Crandall, S Ramamoorthy
Artificial Intelligence 235, 63-94, 2016
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
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
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
Towards predicting robot team performance
JW Crandall, CW Nielsen, MA Goodrich
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems …, 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
Identifying generalizable metric classes to evaluate human-robot teams
P Pina, M Cummings, J Crandall, M Della Penna
Proc. 3rd Ann. Conf. Human-Robot Interaction, 13-20, 2008
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