Scholar
Jacob W. Crandall
Google Scholar ID: FHGBC58AAAAJ
Professor of Computer Science, Brigham Young University
Artificial intelligence
human-machine interaction
multi-agent systems
machine learning
game theory
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Citations & Impact
All-time
Citations
3,014
H-index
19
i10-index
39
Publications
20
Co-authors
25
list available
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Publications
1 items
Modeling Human Behavior in a Strategic Network Game with Complex Group Dynamics
2025
Cited
0
Resume
Academic Achievements
Published 'Fostering Collective Action in Complex Societies Using Community-Based Agents' at IJCAI 2024
Published 'Reactive or Proactive? How Robots Should Explain Failures' at HRI 2024
Published 'Robot Proficiency Self-Assessment Using Assumption-Alignment Tracking' in IEEE Transactions on Robotics, 2023
Paper 'Proficiency Self-Assessment without Breaking the Robot' was a finalist for the ICRA 2023 Outstanding Conference Paper Award
Published 'Improving Robot Proficiency Self-Assessment via Meta-Assessment' in IEEE RA-L, 2023
Published 'A Method for Designing Autonomous Robots that Know Their Limits' at ICRA 2022
Co-authored paper on metrics for robot proficiency self-assessment in ACM Transactions on Human-Robot Interaction, 2022
Published 'Confronting Barriers to Human-Robot Cooperation' in iScience, 2021
Published 'When Autonomous Agents Model Other Agents' in Artificial Intelligence journal, 2020
Co-authored invited commentary 'Intelligent machines as social catalysts' in PNAS, 2020
Co-authors
11 total
Iyad Rahwan
Center for Humans & Machines, Max Planck Institute for Human Development
M. Cummings
Professor, George Mason University
Jean-François Bonnefon
Toulouse School of Economics - TSMR - IAST - CNRS - ANITI
Manuel Cebrian
Spanish National Research Council
Azim Shariff
Professor; University of British Columbia
Mayada Oudah
New York University Abu Dhabi
Subramanian Ramamoorthy
Professor of Robot Learning and Autonomy, School of Informatics, University of Edinburgh
Stefano V. Albrecht
School of Informatics, University of Edinburgh