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The non-verbal behaviour of an embodied conversational agent is normally based on recorded human behaviour. There are two main ways that the mapping from human behaviour to agent behaviour has been implemented. In some systems, human behaviour is analysed, and then rules for the agent are created based on the results of that analysis; in others, the recorded behaviour is used directly as a resource for decision-making, using data-driven techniques. In this paper, we implement both of these methods for selecting the conversational facial displays of an animated talking head and compare them in two user evaluations. In the first study, participants were asked for subjective preferences: they tended to prefer the output of the data-driven strategy, but this trend was not statistically significant. In the second study, the data-driven facial displays affected the ability of users to perceive user-model tailoring in synthesised speech, while the rule-based displays did not have any effect.

Comparing rule-based and data-driven selection of facial displays