Publications

J. Skaggs, M. Richards, M. Morris, M. A. Goodrich, and J. W. Crandall
Fostering Collective Action in Complex Societies using Community-Based Agents
To appear in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 2024

G. LeMasurier, A. Gautam, Z. Han, J. W. Crandall, and H. Yanco
Reactive or Proactive? How Robots Should Explain Failures
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI), Boulder, CO, 2024
PDF (preprint)

X. Cao, A. Gautam, T. Whiting, S. Smith, M. A. Goodrich, and J. W. Crandall
Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking
IEEE Transactions on Robotics, Vol. 39, No. 4, pp. 3279-3298, August 2023
Link | PDF (preprint)

X. Cao, J. W. Crandall, E. Pedersen, A. Gautam, and M. A. Goodrich
Proficiency Self-Assessment without Breaking the Robot: Anomaly Detection using Assumption-Alignment Tracking from Safe Experiments
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2023
Finalist for the ICRA 2023 Outstanding Conference Paper Award
Link | PDF (preprint)

E. Pedersen and J. W. Crandall
AlegAATr the Bandit
Proceedings of the European Conference on Artificial Intelligence (ECAI), 2023
PDF

X. Cao, J. W. Crandall, and M. A. Goodrich
Improving Robot Proficiency Self-Assessment via Meta-Assessment
IEEE Robotics and Automation Letters (RA-L), Vol. 8, No. 11, pp. 7297-7303, 2023
Link | PDF (preprint)

A. Gautam, T. Whiting, X. Cao, M. A. Goodrich, and J. W. Crandall
A Method for Designing Autonomous Robots that Know Their Limits
Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2022
PDF | 4-min video

A. Norton, H. Admoni, J. Crandall, T. Fitzgerald, A. Gautam, M. Goodrich, A. Saretsky, M. Scheutz, R. Simmons, A. Steinfeld, H. Yanco
Metrics for Robot Proficiency Self-Assessment and Communication of Proficiency in Human-Robot Teams
ACM Transactions on Human-Robot Interaction, Vol. 11, No. 3, Article No. 29, 2022
Link | PDF (preprint)

T. Whiting, A. Gautam, J. Tye, M. Simmons, J. Henstrom, M. Oudah, and J. W. Crandall
Confronting Barriers to Human-Robot Cooperation: Balancing Efficiency and Risk in Machine Behavior
iScience, Vol. 24, 101963, 2021
Link
Appears in the special issue on Machine Behavior (published jointly with Trends in Cognitive Science)

J. W. Crandall
When Autonomous Agents Model Other Agents: An Appeal for Altered Judgment Coupled with Mouths, Ears, and a Little More Tape
Artificial Intelligence, Vol. 280, 103219, 2020
Link | PDF

I. Rahwan, J. W. Crandall, and J. F. Bonnefon
Intelligent machines as social catalysts (invited commentary)
Proceedings of the National Academy of Sciences, Vol. 117, No. 114, pp. 7555-7557, 2020
Link | PDF

A. Gautam, J. W. Crandall, and M. A. Goodrich
Self-assessment of Proficiency of Intelligent Systems: Challenges and Opportunities
International Conference on Applied Human Factors and Ergonomics, pp. 108-113, 2020
Link

N. Mathema, M. A. Goodrich, and J. W. Crandall
Predicting Plans and Actions in Two-Player Repeated Games
AAAI 2020 Workshop on Plan, Activity, and Intent Recognition, 2020
Link | PDF

F. Ishowo-Oloko, J. F. Bonnefon, Z. Soroye, J. W. Crandall, I. Rahwan, and T. Rahwan
Behavioural evidence for a transparency-efficiency tradeoff in human-machine cooperation
Nature Machine Intelligence, Vol. 1, pp. 517-521, 2019
Link | PDF

I. Rahwan, M. Cebrian, N. Obradovich, J. Bongard, J. F. Bonnefon, C. Breazeal, J. W. Crandall, N. A. Christakis, I. D. Couzin, M. O. Jackson, N. R. Jennings, E. Kamar, I. M. Kloumann, H. Larochelle, D. Lazer, R. McElreath, A. Mislove, D. C. Parkes, A. Pentland, M. E. Roberts, A. Shariff, J. B. Tenenbaum, and M. Wellman
Machine Behaviour
Nature, Vol. 568, pp. 477-486, 2019
Paper: Link | PDF
Selected media and commentaries: MIT Technology Review, more

J. W. Crandall and H. Pham
Cooperating in Long-term Relationships with Time-Varying Structure (Short paper)
Proceedings of the 18th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Montreal, Canada, 2019
PDF

C. C. Ashcraft, M. A. Goodrich, and J. W. Crandall
Moderating Operator Influence in Human-Swarm Systems
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), Bari, Italy, 2019
PDF

J. W. Crandall, M. Oudah, Tennom, F. Ishowo-Oloko, S. Abdallah, J. F. Bonnefon, M. Cebrian, A. Shariff, M. A. Goodrich, and I. Rahwan
Cooperating with Machines
Nature Communications, Vol. 9, Article No. 233, 2018
Paper: Link | PDF | Supplementary Information
Code: Comparison of algorithms | S#
Data sets: Algorithms paired with algorithms (63MB) | S# paired with people
Over-the-top video abstract: Video
Selected media and commentaries: Science, MIT Technology Review, BYU News, Nature Human Behavior, New Atlas; more

M. Oudah, T. Rahwan, T. Crandall, and J. W. Crandall
How AI Wins Friends and Influences People in Repeated Games with Cheap Talk
Proceedings of the 32nd Conference on Artificial Intelligence (AAAI), New Orleans, LA, 2018
PDF

W. Shen, J. W. Crandall, K. Yan, and C. Lopes
Information Design in Crowdfunding under Thresholding Policies
Proceedings of the 17th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Stockholm, Sweden, 2018
PDF

Z. Almahmoud, J. W. Crandall, K. Elbassioni, T. T. Nguyen, and M. Roozbehani
Dynamic Pricing in Smart Grids Under Thresholding Policies
IEEE Transactions on Smart Grid, Vol. 10, No. 3, pp. 3415-3429, 2019
Link

M. A. Goodrich, J. W. Crandall, M. Oudah, and N. Mathema
Using Narrative to Enable Longitudinal Human-Robot Interactions
Proceedings of the HRI2018 Workshop on Longitudinal Human-Robot Teaming, Chicago, IL, 2018
PDF

W. Shen, A. Al Khemeiri, A. Almehrzi, W. Al Enezi, I. Rahwan, and J. W. Crandall
Regulating Highly Automated Robot Ecologies: Insights from Three User Studies
Proceedings of the 5th International Conference on Human-Agent Interaction (HAI), Bielefeld, Germany, 2017
Won Best Student Paper Award
Paper: PDF | Slides

J. W. Crandall, N. Anderson, C. Ashcraft, J. Grosh, J. Henderson, J. McClellan, A. Neupane, and M. A. Goodrich
Human-Swarm Interaction as Shared Control: Achieving Flexible Fault-Tolerant Systems
Proceedings of 14th International Conference on Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness, Vancouver, Canada, 2017.
PDF

S. V. Albrecht, J. W. Crandall, and S. Ramamoorthy
Belief and Truth in Hypothesised Behaviours
Artificial Intelligence, Vol. 235, pp. 63-94, 2016
Link | PDF (print)

W. Shen, C. V. Lopes, and J. W. Crandall
An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), New York City, NY, 2016
PDF

J. W. Crandall
Robust Learning in Repeated Stochastic Games using Meta-Gaming
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015
PDF

M. Oudah, V. Babushkin, Tennom, and J. W. Crandall
Learning to Interact with a Human Partner
Proceedings of the 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Portland, OR, 2015
PDF     Note: For consistency with my other papers, this version of the paper updates the name of the created algorithm

S. V. Albrecht, J. W. Crandall, and S. Ramamoorthy
An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types
Proceedings of the 29th Conference on Artificial Intelligence (AAAI), Austin, TX, 2015
PDF

J. W. Crandall
Towards Minimizing Disappointment in Repeated Games
Journal of Artificial Intelligence Research, Vol. 49, pp. 111-142, 2014
Link | PDF

V. Manohar and J. W. Crandall
Programming Robots to Express Emotions: Interaction Paradigms, Communication Modalities, and Context
IEEE Transactions on Human-Machine Systems, Vol. 44, No. 3, pp. 362-373, 2014
Link | PDF

M. Elidrisi, N. Johnson, M. Gini, and J. W. Crandall
Fast Adaptive Learning in Repeated Stochastic Games by Game Abstraction
Proceedings of the 13th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Paris, France, 2014
PDF

M. A. Goodrich, J. W. Crandall, and E. Barakova
Teleoperation and Beyond for Assistive Humanoid Robots
Reviews of Human Factors and Ergonomics (David Kaber, Ed.), Vol. 9, No. 1, pp. 175-226, 2013
Link | PDF (preprint)

J. W. Crandall
Learning in Real-Time in Repeated Games Using Experts (Short paper)
Proceedings of the 12th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Minneapolis, MN, 2013
PDF

Y. Hassan and J. W. Crandall
Genetic Algorithms in Repeated Matrix Games: The Effects of Algorithmic Modifications and Human Input
Proceedings of the IEEE Symposium on Intelligent Agents, Singapore, 2013
PDF

W. K. A. Najy, J. W. Crandall, and H. H. Zeineldin
A Critical Assessment of Cost-Based Nash Methods for Demand Scheduling in Smart Grids
arXiv:1306.0816, June 2013
Link

V. Harutyunyan, V. Manohar, I. Gezehei, and J. W. Crandall
Cognitive Telepresence in Human-Robot Interactions
Journal of Human-Robot Interaction, Vol. 1, No. 2, pp. 158-182, 2012
Link | PDF

J. W. Crandall
Just Add Pepper: Extending Learning Algorithms for Repeated Matrix Games to Repeated Markov Games
Proceedings of the 11th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Valencia, Spain, 2012
PDF

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: Systems and Humans, Vol. 41, No. 3, pp. 385-397, 2011
Link | PDF

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
Link | PDF

J. W. Crandall, A. Ahmed, and M. A. Goodrich
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
Proceedings of the 25th Conference on Artificial Intelligence (AAAI), San Francisco, CA, 2011
PDF

J. W. Crandall, M. H. Altakrori, and Y. M. Hassan
Learning by Demonstration in Repeated Stochastic Games (Short paper)
Proceedings of the 10th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), Tapai, Taiwan, 2011
PDF | Full paper

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
Link | PDF (preprint)

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, Palo Alto, CA, 2009
PDF

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
PDF

M. L. Cummings, P. Pina, J. W. Crandall
A Metric Taxonomy for Supervisory Control of Unmanned Vehicles
Proceedings of AUVSI's Unmanned Systems North America, 2008

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

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

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
Link | PDF (preprint)

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, Studies in Computational Intelligence (J. S. Chahl, L. C. Jain, A. Mizutani, and M. Sato-Ilic, Eds.), Vol. 70, pp. 11-36, 2007

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

J. W. Crandall and M. L. Cummings
Attention Allocation Efficiency in Human-UV Teams
AIAA Infotech@Aerospace Conference, 2007

J. W. Crandall and M. L. Cummings
Developing Performance Metrics for the Supervisory Control of Multiple Robots
Proceedings of the 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI), Washington, D.C., 2007
PDF

M. A. Goodrich, T. W. McLain, J. Johansens, J. Anderson, J. Sun, and J. W. Crandall
Managing Autonomy in Robot Teams: Observations from Four Experiments
Proceedings of the 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI), Washington, D.C., 2007

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: Systems and Humans, Vol. 35, No. 4, pp. 438-449, July 2005
Link | PDF

J. W. Crandall and M. A. Goodrich
Learning to Compete, Compromise, and Cooperate in Repeated General-Sum Games
Proceedings of the 22nd International Conference on Machine Learning (ICML), Bonn, Germany, 2005
PDF Note: This version of the paper corrects Figure 3, which was mislabeled in the published proceedings

J. W. Crandall and M. A. Goodrich
Learning to Teach and Follow in Repeated Games
AAAI Workshop on Multiagent Learning, 2005
PDF

J. W. Crandall
Learning Successful Strategies in Repeated General-Sum Games
Ph.D. Dissertation, Brigham Young University, Dec 2005
PDF

J. W. Crandall and M. A. Goodrich
Learning Near-Pareto Efficient Solutions With Minimal Knowledge Requirements Using Satisficing
AAAI Fall Symposium: Artificial Multiagent Learning, 2004
PDF | Extended Version

M. A. Goodrich, E. R. Boer, J. W. Crandall, R. W. Ricks, and M. L. Quigley
Behavioral Entropy in Human-Robot Interaction
NIST's Performance Metrics for Intelligent Systems Workshop, 2004

J. W. Crandall and M. A. Goodrich
Establishing Reputation Using Social Commitment in Repeated Games
AAMAS Workshop on Learning and Evolution in Agent Based Systems, 2004
PDF

J. W. Crandall and M. A. Goodrich
Multiagent Learning During On-Going Human-Machine Interactions: The Role of Reputation
AAAI Spring Symposium: Interaction between Humans and Autonomous Systems over Extended Operation, 2004
PDF

J. W. Crandall, C. W. Nielsen, and M. A. Goodrich
Towards Predicting Robot Team Performance
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Washington, D.C., 2003
PDF

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
PDF

M. A. Goodrich, J. W. Crandall, and J. R. Stimpson
Neglect Tolerant Teaming: Issues and Dilemmas
AAAI Spring Symposium: Human Interaction with Autonomous Systems in Complex Environments, 2003.

C. W. Nielsen, M. A. Goodrich, and J. W. Crandall
Experiments in Human-Robot Teams
Multi-Robot Systems: From Swarms to Intelligent Automata (A. C. Shultz, L. E. Parker, F. E. Schneider, Eds.), Vol. 2, 2003

J. W. Crandall
Towards Developing Effective Human-Robot Systems
M.S. Thesis, Brigham Young University, Dec 2003
PDF

J. W. Crandall and M. A. Goodrich
Principles of Adjustable Interactions
AAAI Fall Symposium: Human-Robot Interactions, 2002.

J. W. Crandall and M. A. Goodrich
Characterizing Efficiency of Human-Robot Interaction: A Case Study of Shared-Control Teleoperation
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2002
PDF

J. W. Crandall and M. A. Goodrich
Experiments in Adjustable Autonomy
Proceedings of the 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
Proceedings of the IJCAI-01 Workshop on Autonomy, Delegation, and Control: Interaction with Autonomous Agents, 2001
PDF