CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3245982
Abstract: Predicting contextualised engagement in videos is a long-standing problem that has been popularly attempted by exploiting the number of views or likes using different computational methods. The recent decade has seen a boom in online… read more here.
Keywords: unified learning; learning user; user engagement; video ... See more keywords
Learning User Preferences for Complex Cobotic Tasks: Meta-Behaviors and Human Groups
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3279619
Abstract: In complex tasks (beyond a single targeted controller) requiring robots to collaborate with multiple human users, two challenges arise: complex tasks are often composed of multiple behaviors which can only be evaluated as a collective… read more here.
Keywords: complex cobotic; learning user; group; preferences complex ... See more keywords