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,...
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
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Online Access: | http://hdl.handle.net/1721.1/108792 https://orcid.org/0000-0003-0625-1831 |
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