Title: Statistical Verification of Computational Rapport Model,
Abstract: Rapport plays an important role during communication because it can help
people understand each other's feelings or ideas and leads to a smooth
communication. Computational rapport model has been proposed based on theory in
previous work. But there lacks solid verification. In this paper, we apply
structural equation model (SEM) to the theoretical model on both dyads of
friend and stranger. The results indicate some unfavorable paths. Based on the
results and more literature, we modify the original model to integrate more
nonverbal behaviors, including gaze and smile. Fit indices and other
examination show the goodness of our new models, which can give us more insight
into rapport management during conversation.