From neutral human face to persuasive virtual face, a new automatic tool to generate a persuasive attitude
Résumé
In order to motivate the user to change her/his behavior or attitudes, for instance to practice physical activities to improve her/his well-being, virtual agents should have persuasive capabilities. The persuasiveness of the virtual agent not only depends on its speech but also on its non-verbal behavioral cues. In this paper, we propose the new tool called THRUST (from neuTral Human face to peRsUaSive virTual face), to automatically generate the head movements and facial expressions of a persuasive virtual character from a video of a human. Combining a machine learning approach on a corpus of persuasive human speech and a convolution-based method, we propose a model, based on real data of persuasive human message, that transforms the non-verbal behavior of the human expressed in a video to a persuasive non-verbal behavior replicated on a virtual face.
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