Kate Candon
Scholar

Kate Candon

Google Scholar ID: tjFEDR4AAAAJ
Yale University
Human-Robot InteractionHuman-Computer InteractionSocially Assistive RobotsArtificial Intelligence
Citations & Impact
All-time
Citations
93
 
H-index
7
 
i10-index
5
 
Publications
15
 
Co-authors
0
 
Resume (English only)
Research Experience
  • Works in the Interactive Machines Group and Social Robotics Lab at Yale.
Education
  • Fifth-year Ph.D. candidate in Computer Science at Yale University, working with Professor Marynel Vázquez and Professor Brian Scassellati.
Background
  • Interested in understanding how to create interactive agents that are more effectively able to help people. Current research explores techniques to leverage multimodal implicit feedback humans provide naturally during interactions. Future work aims to explore how and when agents should ask for explicit feedback from humans during interactions.
Miscellany
  • Excited about creating situated agents that can reason about and adapt to the preferences of the humans they interact with, aiming to build robots that empower seniors to remain independent by changing the way robots learn how to help.
Co-authors
0 total
Co-authors: 0 (list not available)