Predicting video-conferencing conversation outcomes based on modeling facial expression synchronization

Effective video-conferencing conversations are heavily influenced by each speaker's facial expression. In this study, we propose a novel probabilistic model to represent interactional synchrony of conversation partners' facial expressions in video-conferencing communication. In particular,...

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Bibliographic Details
Main Authors: Rui Li (Author), Hoque, Mohammed Ehsan (Author), Curhan, Jared R (Contributor)
Other Authors: Sloan School of Management (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2017-05-10T18:55:57Z.
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