Investigating Automatic Dominance Estimation in Groups From Visual Attention and Speaking ActivityReport as inadecuate




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Presented at: International Conference on Multi-modal Interfaces Publication date: 2008

We 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.

Reference LIDIAP-CONF-2008-033





Author: Hung, Hayley; Jayagopi, Dinesh Babu; Ba, Silèye O.; Odobez, Jean-Marc; Gatica-Perez, Daniel

Source: https://infoscience.epfl.ch/record/146059?ln=en



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