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 (Author), Hoque, Mohammed Ehsan (Author), Curhan, Jared R (Contributor) |
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Other Authors: | Sloan School of Management (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2017-05-10T18:55:57Z.
|
Subjects: | |
Online Access: | Get fulltext |
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