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.


Presented at:
International Conference on Multi-modal Interfaces
Year:
2008
Laboratories:




 Record created 2010-02-11, last modified 2018-03-17

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