Hung, HayleyJayagopi, Dinesh BabuBa, Silèye O.Odobez, Jean-MarcGatica-Perez, Daniel2010-02-112010-02-112010-02-11200810.1145/1452392.1452441https://infoscience.epfl.ch/handle/20.500.14299/46830We study the automation of the visual dominance ratio (VDR); a classic measure of displayed dominance in social psychology literature, which combines both gaze and speaking activity cues. The VDR is modified to estimate dominance in multi-party group discussions where natural verbal exchanges occur and other visual targets such as a table and slide screen are present. Our findings suggest that fully automated versions of these measures can estimate effectively the most dominant person in a meeting and can approximate the dominance estimation performance when manual labels of visual attention are used.text::conference output::conference proceedings::conference paper