Jacob W. Crandall
Scholar

Jacob W. Crandall

Google Scholar ID: FHGBC58AAAAJ
Professor of Computer Science, Brigham Young University
Artificial intelligencehuman-machine interactionmulti-agent systemsmachine learninggame theory
Citations & Impact
All-time
Citations
3,014
 
H-index
19
 
i10-index
39
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
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