Investigating Automatic Dominance Estimation in Groups From Visual Attention and Speaking Activity
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.
Hung_ICMI_2008.pdf
openaccess
200.01 KB
Adobe PDF
934d6e422cef85a012d53e9caf25fabc