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, Hoque, Mohammed Ehsan, Curhan, Jared R
Other Authors: Sloan School of Management
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2017
Online Access:http://hdl.handle.net/1721.1/108792
https://orcid.org/0000-0003-0625-1831