Learning to Understand Expressions of Approval and Disapproval through Game-Based Training Tasks
Anja Austermann, Seiji Yam · InTech eBooks · 2009
In this paper, we described and evaluated a method for learning a user's feedback for human-robot-interaction. The performance based on interpreting speech, prosody and touch feedbacks from a human can be considered sufficiently reliable for being used to teach a robot, for example, by reinforcement learning. One potential drawback of our approach is that the robot has to complete a training phase with every user who wants to interact with it in order to adapt to the user's way of giving rewards. However, a typical pet robot or entertainment robot only interacts with a very