We describe an implementation of datadriven selection of emphatic facial displays for an embodied conversational agent in a dialogue system. A corpus of sentences in the domain of the target dialogue system was recorded, and the facial displays used by the speaker were annotated. The data from those recordings was used in a range of models for generating facial displays, each model making use of a different amount of context or choosing displays differently within a context.
