How Does a Pedagogical Agent Look at a Learner when Providing Evaluation Feedback?

Abstract

We present in this paper a computational model for controling the gaze direction of a pedagogical agent. We are using a methodogical approach based on digital video corpora. A video corpus was collected. A subset of this corpus was annotated. Rules allowing for controling gaze direction of an agent were then obtained through statistical analysis on the annotations.