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Libo Sun, Alexander Shoulson, Pengfei Huang, Nicole Nelson, Wenhu Qin, Ani Nenkova and Norman I. Badler Animating synthetic dyadic conversations with variations based on context and agent attributes Computer Animation and Virtual Worlds 23

Version of Record online: 9 FEB 2012 | DOI: 10.1002/cav.1421

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Conversations are ubiquitous in inhabited spaces. The statistical distribution of dyadic conversations depends on several factors, including the time, the location of the participating agents, their spatial relationship, and the type of conversation in which they are engaged. The conversation types, flow, and duration will depend on agent attributes such as interpersonal relationships, emotional state, personal priorities, and socio-cultural proxemics. We present a framework for distributing and animating conversations among virtual embodied agents in a real-time simulation.

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