Rapport, the feeling of being "in sync" with your conversational partners, is argued to underlie many desirable social effects. By generating proper verbal and nonverbal behaviors, virtual humans have been seen to create rapport during interactions with human users. In this paper, we introduce our approach to creating rapport following Tickle-Degnen and Rosenberg's threefactor (positivity, mutual attention and coordination) theory of rapport. By comparing with a previously published virtual agent, the Rapport Agent, we show that our virtual human predicts the timing of backchannel feedback and end-of-turn more precisely, performs more natural behaviors and, thereby creates much stronger feelings of rapport between users and virtual agents. © 2011 Springer-Verlag.
CITATION STYLE
Huang, L., Morency, L. P., & Gratch, J. (2011). Virtual rapport 2.0. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6895 LNAI, pp. 68–79). https://doi.org/10.1007/978-3-642-23974-8_8
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