Experiments in adjustable autonomy. - Jacob William Crandall; Michael A. Goodrich (SMC, 2001)

Characterizing efficiency of human robot interaction: a case study of shared-control teleoperation. - Jacob W. Crandall; Michael A. Goodrich (IROS, 2002)

Towards predicting robot team performance. - Jacob W. Crandall; Curtis W. Nielsen; Michael A. Goodrich (SMC, 2003)

Learning e-Pareto Efficient Solutions with Minimal Knowledge Requirements using Satisficing. - Jacob W. Crandall; Michael A. Goodrich (AAAI Technical Report (2), 2004)

Learning to compete, compromise, and cooperate in repeated general-sum games. - Jacob W. Crandall; Michael A. Goodrich (ICML, 2005)

Validating human-robot interaction schemes in multitasking environments. - Jacob W. Crandall; Michael A. Goodrich; Dan R. Olsen; Curtis W. Nielsen (IEEE Trans. Syst. Man Cybern. Part A, 2005)

Developing performance metrics for the supervisory control of multiple robots. - Jacob W. Crandall; Mary L. Cummings (HRI, 2007)

Managing autonomy in robot teams: observations from four experiments. - Michael A. Goodrich; Timothy W. McLain; Jeffrey D. Anderson; Jisang Sun; Jacob W. Crandall (HRI, 2007)

Identifying Predictive Metrics for Supervisory Control of Multiple Robots. - Jacob W. Crandall; Mary L. Cummings (IEEE Trans. Robotics, 2007)

Predicting Operator Capacity for Supervisory Control of Multiple UAVs. - Mary L. Cummings; Carl E. Nehme; Jacob W. Crandall; Paul J. Mitchell (Innovations in Intelligent Machines (1), 2007)

Encoding Intelligent Agents for Uncertain, Unknown, and Dynamic Tasks: From Programming to Interactive Artificial Learning. - Jacob W. Crandall; Michael A. Goodrich; Lanny Lin (AAAI Spring Symposium: Agents that Learn from Human Teachers, 2009)

Predictive Model for Human-Unmanned Vehicle Systems. - Jacob W. Crandall; Mary L. Cummings; Carl E. Nehme (J. Aerosp. Comput. Inf. Commun., 2009)

Learning in Repeated Games with Minimal Information: The Effects of Learning Bias. - Jacob W. Crandall; Asad Ahmed; Michael A. Goodrich (AAAI, 2011)

Learning by demonstration in repeated stochastic games. - Jacob W. Crandall; Malek H. Altakrori; Yomna M. Hassan (AAMAS, 2011)

Toward human interaction with bio-inspired teams. - Michael A. Goodrich; Brian Pendleton; P. B. Sujit; José Pinto 001; Jacob W. Crandall (AAMAS, 2011)

Expressing emotions through robots: a case study using off-the-shelf programming interfaces. - Vimitha Manohar; Shamma al Marzooqi; Jacob W. Crandall (HRI, 2011)

Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning. - Jacob W. Crandall; Michael A. Goodrich (Mach. Learn., 2011)

Computing the Effects of Operator Attention Allocation in Human Control of Multiple Robots. - Jacob W. Crandall; Mary L. Cummings; Mauro Della Penna; Paul M. A. de Jong (IEEE Trans. Syst. Man Cybern. Part A, 2011)

Just add Pepper: extending learning algorithms for repeated matrix games to repeated Markov games. - Jacob W. Crandall (AAMAS, 2012)

Learning in real-time in repeated games using experts. - Jacob W. Crandall (AAMAS, 2013)

Genetic algorithms in repeated matrix games: the effects of algorithmic modifications and human input with various associates. - Yomna M. Hassan; Jacob W. Crandall (IEEE IA, 2013)

A Critical Assessment of Cost-Based Nash Methods for Demand Scheduling in Smart Grids. - Waleed K. A. Najy; Jacob W. Crandall; Hatem H. Zeineldin (CoRR, 2013)

Cognitive telepresence in human-robot interactions. - Vahagn Harutyunyan; Vimitha Manohar; Issak Gezehei; Jacob W. Crandall (J. Hum. Robot Interact., 2013)

Online Learning in Repeated Human-Robot Interactions. - Vahan Babushkin; Mayada Oudah; Tennom Chenlinangjia; Ahmed Alshaer; Jacob W. Crandall (AAAI Fall Symposia, 2014)

Fast adaptive learning in repeated stochastic games by game abstraction. - Mohamed Elidrisi; Nicholas Johnson 001; Maria L. Gini; Jacob W. Crandall (AAMAS, 2014)

Non-Myopic Learning in Repeated Stochastic Games. - Jacob W. Crandall (CoRR, 2014)

Learning in Repeated Games: Human Versus Machine. - Fatimah Ishowo-Oloko; Jacob W. Crandall; Manuel Cebrián; Sherief Abdallah; Iyad Rahwan (CoRR, 2014)

Towards Minimizing Disappointment in Repeated Games. - Jacob W. Crandall (J. Artif. Intell. Res., 2014)

Programming Robots to Express Emotions: Interaction Paradigms, Communication Modalities, and Context. - Vimitha Manohar; Jacob W. Crandall (IEEE Trans. Hum. Mach. Syst., 2014)

An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types. - Stefano Vittorino Albrecht; Jacob William Crandall; Subramanian Ramamoorthy (AAAI, 2015)

Learning to Interact with a Human Partner. - Mayada Oudah; Vahan Babushkin; Tennom Chenlinangjia; Jacob W. Crandall (HRI, 2015)

Robust Learning for Repeated Stochastic Games via Meta-Gaming. - Jacob W. Crandall (IJCAI, 2015)

An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems. - Wen Shen 001; Cristina V. Lopes; Jacob W. Crandall (IJCAI, 2016)

Belief and truth in hypothesised behaviours. - Stefano V. Albrecht; Jacob W. Crandall; Subramanian Ramamoorthy (Artif. Intell., 2016)

Dynamic Pricing in Smart Grids under Thresholding Policies: Algorithms and Heuristics. - Zaid Almahmoud; Jacob W. Crandall; Khaled M. Elbassioni; Trung Thanh Nguyen 004; Mardavij Roozbehani (CoRR, 2016)

Regulating Highly Automated Robot Ecologies: Insights from Three User Studies. - Wen Shen 001; Alanoud Al Khemeiri; Abdulla Almehrezi; Wael Al Enezi; Iyad Rahwan; Jacob W. Crandall (HAI, 2017)

Human-Swarm Interaction as Shared Control: Achieving Flexible Fault-Tolerant Systems. - Jacob W. Crandall; Nathan Anderson; Chace Ashcraft; John R. Grosh; Jonah Henderson; Joshua McClellan; Aadesh Neupane; Michael A. Goodrich (HCI (5), 2017)

Cooperating with Machines. - Jacob W. Crandall; Mayada Oudah; Tennom Chenlinangjia; Fatimah Ishowo-Oloko; Sherief Abdallah; Jean-François Bonnefon; Manuel Cebrián; Azim Shariff; Michael A. Goodrich; Iyad Rahwan (CoRR, 2017)

How AI Wins Friends and Influences People in Repeated Games With Cheap Talk. - Mayada Oudah; Talal Rahwan; Tawna Crandall; Jacob W. Crandall (AAAI, 2018)

Information Design in Crowdfunding under Thresholding Policies. - Wen Shen 001; Jacob W. Crandall; Ke Yan 001; Cristina V. Lopes (AAMAS, 2018)

Cooperating in Long-term Relationships with Time-Varying Structure. - Jacob W. Crandall; Huy Pham (AAMAS, 2019)

Moderating Operator Influence in Human-Swarm Systems. - Chace Ashcraft; Michael A. Goodrich; Jacob W. Crandall (SMC, 2019)

E-HBA: Using Action Policies for Expert Advice and Agent Typification. - Stefano V. Albrecht; Jacob W. Crandall; Subramanian Ramamoorthy (CoRR, 2019)

Behavioural evidence for a transparency-efficiency tradeoff in human-machine cooperation. - Fatimah Ishowo-Oloko; Jean-François Bonnefon; Zakariyah Shoroye; Jacob W. Crandall; Iyad Rahwan; Talal Rahwan (Nat. Mach. Intell., 2019)

Machine behaviour. - Iyad Rahwan; Manuel Cebrián; Nick Obradovich; Josh C. Bongard; Jean-François Bonnefon; Cynthia Breazeal; Jacob W. Crandall; Nicholas A. Christakis; Iain D. Couzin; Matthew O. Jackson; Nicholas R. Jennings; Ece Kamar; et al. (Nat., 2019)

Dynamic Pricing in Smart Grids Under Thresholding Policies. - Zaid Almahmoud; Jacob W. Crandall; Khaled M. Elbassioni; Trung Thanh Nguyen 004; Mardavij Roozbehani (IEEE Trans. Smart Grid, 2019)

Self-assessment of Proficiency of Intelligent Systems: Challenges and Opportunities. - Alvika Gautam; Jacob W. Crandall; Michael A. Goodrich (AHFE (10), 2020)

When autonomous agents model other agents: An appeal for altered judgment coupled with mouths, ears, and a little more tape. - Jacob W. Crandall (Artif. Intell., 2020)

Predicting Plans and Actions in Two-Player Repeated Games. - Najma Mathema; Michael A. Goodrich; Jacob W. Crandall (CoRR, 2020)

Intelligent machines as social catalysts. - Iyad Rahwan; Jacob W. Crandall; Jean-François Bonnefon (Proc. Natl. Acad. Sci. USA, 2020)

A Method for Designing Autonomous Robots that Know Their Limits. - Alvika Gautam; Tim Whiting; Xuan Cao; Michael A. Goodrich; Jacob W. Crandall (ICRA, 2022)

AAAI SSS-22 Symposium on Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming. - Michael A. Goodrich; Jacob W. Crandall; Aaron Steinfeld; Holly A. Yanco (CoRR, 2022)

Metrics for Robot Proficiency Self-assessment and Communication of Proficiency in Human-robot Teams. - Adam Norton; Henny Admoni; Jacob W. Crandall; Tesca Fitzgerald; Alvika Gautam; Michael A. Goodrich; Amy Saretsky; Matthias Scheutz; Reid G. Simmons; Aaron Steinfeld; Holly A. Yanco (ACM Trans. Hum. Robot Interact., 2022)

AlegAATr the Bandit. - Ethan Pedersen; Jacob W. Crandall (ECAI, 2023)

Proficiency Self-Assessment without Breaking the Robot: Anomaly Detection using Assumption-Alignment Tracking from Safe Experiments. - Xuan Cao; Jacob W. Crandall; Ethan Pedersen; Alvika Gautam; Michael A. Goodrich (ICRA, 2023)

Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking. - Xuan Cao; Alvika Gautam; Tim Whiting; Skyler Smith; Michael A. Goodrich; Jacob W. Crandall (IEEE Trans. Robotics, 2023)

Improving Robot Proficiency Self-Assessment via Meta-Assessment. - Xuan Cao; Jacob W. Crandall; Michael A. Goodrich (IEEE Robotics Autom. Lett., 2023)

Reactive or Proactive? How Robots Should Explain Failures. - Gregory LeMasurier; Alvika Gautam; Zhao Han; Jacob W. Crandall; Holly A. Yanco (HRI, 2024)

Fostering Collective Action in Complex Societies Using Community-Based Agents. - Jonathan Skaggs; Michael Richards; Melissa Morris; Michael A. Goodrich; Jacob W. Crandall (IJCAI, 2024)

Generating Explanations for Autonomous Robots Using Assumption-Alignment Tracking. - Xuan Cao; Jacob W. Crandall; Michael A. Goodrich (SMC, 2024)

Modeling Human Behavior in a Strategic Network Game with Complex Group Dynamics. - Jonathan Skaggs; Jacob W. Crandall (CoRR, 2025)