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Journal
Articles
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J. W. Crandall, M. L. Cummings, M. Della Penna, and P. M. A. deJong. Computing the Effects of Operator Attention Allocation in Human Control of Multiple Robots. IEEE Transactions on Systems, Man, and Cybernetics -- Part-A, Vol. 41, No. 3, pp. 385-397, 2011.
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J. W. Crandall and M. A. Goodrich. Learning to Compete, Coordinate, and Cooperate in Repeated Games Using Reinforcement Learning. Machine Learning, Vol. 82, No. 3, pp. 281-314, 2011. Published online May 2010. (preprint)
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J. W. Crandall, M. L. Cummings, and C. E. Nehme. A Predictive Model for Human--Unmanned Vehicle Systems. AIAA Journal of Aerospace Computing, Information, and Communication, Vol 6, No. 11, pp. 585-603, 2009. (preprint)
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C. E. Nehme, B. Mekdeci, J. W. Crandall, and M. L. Cummings. The Impact of
Heterogeneity on Operator Performance in Futuristic Unmanned Vehicle Systems.
International Command and Control Journal, Nov 2008.
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J.
W. Crandall and M. L. Cummings. Identifying
Predictive Metrics for Supervisory Control of Multiple Robots. IEEE
Transactions on Robotics, Vol. 23, No. 5, pp. 942-951, Oct 2007.
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J.
W. Crandall, M. A. Goodrich, D. R. Olsen, and C. W. Nielsen.
Validating Human-Robot Interaction Schemes in Multi-Tasking Environments.
IEEE Transactions on Systems, Man, and Cybernetics -- Part-A, Vol. 35,
No. 4, pp. 438-449, July 2005.
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Conference Papers, Workshop Papers, and Book Chapters
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J. W. Crandall. Just Add Pepper: Extending Learning Algorithms for Repeated Matrix Games to Repeated Markov Games. In Proceedings of the Eleventh International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Valencia, Spain, June 2012. To Appear.
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J. W. Crandall, A. Ahmed, and M. A. Goodrich. Learning in Repeated Games with Minimal Information: The Effects of Learning Bias. Proceedings of the Twenty-Fifth Conference on Artificial Intelligence (AAAI), San Francisco, CA, August 2011.
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J. W. Crandall, M. A. Altakrori, and Y. M. Hassan. Learning by Demonstration in Repeated Stochastic Games. Proceedings of the Tenth International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2011. (short paper)
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M. A. Goodrich, P. B. Sujit, B. Pendleton, J. W. Crandall, and J. Pinto. Toward Multi-Operator, Multi-Robot Teams: Human Interaction with Bio-Inspired Teams. Proceedings of the Tenth International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), 2011. (short paper)
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J. W. Crandall, M. A. Goodrich, and L. Lin. Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning. AAAI Spring Symposium: Agents that Learn from Human Teachers, 2009.
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M. L. Cummings, P. Pina, J. W. Crandall. A Metric Taxonomy for Supervisory Control of Unmanned Vehicles. In Proceedings of AUVSI's Unmanned Systems North America, 2008.
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C. E. Nehme, J. W. Crandall, and M. L. Cummings. Using Discrete-Event Simulation to Model Situational Awareness of Unmanned-Vehicle Operators. Proceedings of the ODU/VMASC Capstone Conference, 2008.
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P. Pina, M. L. Cummings, J. W. Crandall, and M. D. Penna. Identifying
Generalizable Metric Classes to Evaluate Human-Robot Teams. HRI Workshop on
Performance Metrics for Human-Robot Interaction, 2008.
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C.
E. Nehme, J. W. Crandall, and M. L. Cummings. An Operator Function Taxonomy for
Unmanned Aerial Vehicle Missions. Proceedings of the 12th International Command
and Control Research and Technology Symposium, 2007.
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J.
W. Crandall and M. L. Cummings. Attention Allocation Efficiency in Human-UV
Teams. AIAA Infotech@Aerospace Conference, 2007.
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J.
W. Crandall and M. L. Cummings. Developing
Performance Metrics for the Supervisory Control of Multiple Robots. Proceedings
of the ACM/IEEEE International Conference on Human-Robot Interaction,
2007.
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M.
A. Goodrich, T. W. McLain, J. W. Crandall, J. Johansens, J. Anderson, J. Sun.
Managing Autonomy in Robot Teams: Observations from Four Experiments. Proceedings
of the ACM/IEEEE International Conference on Human-Robot Interaction,
2007.
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M.
L. Cummings, C. Nehme, J. W. Crandall, and P. J. Mitchell. Predicting
Operator Capacity for Supervisory Control of Multiple UAVs. Innovations in
Intelligent Machines, Vol. 70, Studies in Computational Intelligence,
J. S. Chahl, L. C. Jain, A. Mizutani, and M. Sato-Ilic, Eds., pp. 11-36,
2007.
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J.
W. Crandall and M. A. Goodrich. Learning to
Compete, Compromise, and Cooperate in Repeated General-Sum Games. In Proceedings
of the Twenty-Second International Conference on Machine Learning, 2005.
(Note: This version of the paper corrects Figure 3, which was mislabeled in the
published proceedings.)
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J.
W. Crandall and M. A. Goodrich. Learning to
Teach and Follow in Repeated Games. In AAAI Workshop on Multiagent
Learning, 2005.
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J.
W. Crandall and M. A. Goodrich. Learning Near-Pareto
Efficient Solutions With Minimal Knowledge Requirements Using Satisficing.
In AAAI Fall Symposium: Artificial Multiagent Learning, 2004.
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M.
A. Goodrich, E. R. Boer, J. W. Crandall, R. W. Ricks, and M. L. Quigley.
Behavioral Entropy in Human-Robot Interaction. In NIST's Performance Metrics for
Intelligent Systems Workshop, 2004.
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J.
W. Crandall and M. A. Goodrich. Establishing
Reputation Using Social Commitment in Repeated Games. In AAMAS'04
Workshop on Learning and Evolution in Agent Based Systems, 2004.
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J.
W. Crandall and M. A. Goodrich. Multiagent Learning
During On-Going Human-Machine Interactions: The Role of Reputation. In AAAI
Spring Symposium: Interaction between Humans and Autonomous Systems over
Extended Operation, 2004.
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J.
W. Crandall, C. W. Nielsen, and M. A. Goodrich. Towards
Predicting Robot Team Performance. In 2003 IEEE International Conference
on Systems, Man, and Cybernetics, 2003.
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J.
W. Crandall and M. A. Goodrich. Measuring the Intelligence
of a Robot and its Interface. NIST's Performance Metrics for Intelligent
Systems Workshop, 2003.
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M.
A. Goodrich, J. W. Crandall, and J. R. Stimpson. Neglect Tolerant Teaming:
Issues and Dilemmas. In AAAI Spring Symposium on Human Interaction with
Autonomous Systems in Complex Environments, 2003.
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C.
W. Nielsen, M. A. Goodrich, and J. W. Crandall. Experiments in Human-Robot
Teams. Multi-Robot Systems: From Swarms to Intelligent Automata, Volume
II, Editors Alan C. Shultz, Lynne E. Parker, Frank E. Schneider, Kluwer
Academic publishers. Washington, D.C., March 2003.
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J.
W. Crandall and M. A. Goodrich. Principles of
Adjustable Interactions. In AAAI Fall Symposium on Human-Robot
Interactions, 2002.
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J.
W. Crandall and M. A. Goodrich. Characterizing Efficiency of
Human-Robot Interaction: A Case Study of Shared-Control Teleoperation.
In 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems,
2002.
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J.
W. Crandall and M. A. Goodrich. Experiments in Adjustable
Autonomy. In 2001 IEEE International Conference on Systems, Man, and
Cybernetics, 2001.
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M.
A. Goodrich, D. R. Olsen, J. W. Crandall, and T. J. Palmer. Experiments
in Adjustable Autonomy. In Proceedings of the IJCAI-01 Workshop on
Autonomy, Delegation, and Control: Interaction with Autonomous Agents,
2001.
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Theses
and Reports
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J. W. Crandall and M. A. Goodrich. Satisficing Multi-Agent Learning: A Simple but Powerful Algorithm. Technical Report BYU-HCMI 2008-1, October 2008.
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J. W. Crandall and M. L. Cummings. A Predictive Model for Human-Unmanned Vehicle Systems. Technical Report HAL2008-05, June 2008.
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J.
W. Crandall and M. L. Cummings. A Predictive
Model for Human-Unmanned Vehicle Teams. Technical Report HAL2007-07,
July 2007.
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J.
W. Crandall. Learning Successful Strategies in
Repeated General-Sum Games. Ph.D. Dissertation, Brigham Young
University, Dec 2005.
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J.
W. Crandall. Towards Developing Effective Human-Robot
Systems. M.S. Thesis, Brigham Young University, Dec 2003.
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