Abstract
Rapport has been identified as an important factor in human task performance. Motivated by the proliferation of virtual agents that assist humans on various tasks, we propose a computational architecture for virtual agents, building on our own work on a dyadic model of rapport between humans and virtual agents. We show how such a system can be trained in order to build, maintain and destroy rapport.
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Papangelis, A., Zhao, R., Cassell, J. (2014). Towards a Computational Architecture of Dyadic Rapport Management for Virtual Agents. In: Bickmore, T., Marsella, S., Sidner, C. (eds) Intelligent Virtual Agents. IVA 2014. Lecture Notes in Computer Science(), vol 8637. Springer, Cham. https://doi.org/10.1007/978-3-319-09767-1_41
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DOI: https://doi.org/10.1007/978-3-319-09767-1_41
Publisher Name: Springer, Cham
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