Tutoring Scenarios

Why do we study tutoring?
Learning in a social context cannot be considered a one-sided process. We look at complex interaction systems. Therefore, we study tutoring situations from sender as well as recipient side.



For robotic agents, tutoring enables direct learning.
We hope to get some ideas to help a robot to interact with humans in a more natural way.



So that in the future a direct learning for a humane explanation is possible for a robot.




There is a lot of work to do such as:

detecting the time slots in which the important tutoring is going on (Tutoring Spotter)
keep an interaction going, with a feedback (Feedback System)
get the inside structure of the tutored content (Acoustic Packaging)