PT Unknown
AU D. Jayagopi
   Bogdan Raducanu
   D. Gatica-Perez
TI Characterizing conversational group dynamics using nonverbal behaviour
BT 10th IEEE International Conference on Multimedia and Expo
PY 2009
BP 370–373
DI 10.1109/ICME.2009.5202511
AB This paper addresses the novel problem of characterizing conversational group dynamics. It is well documented in social psychology that depending on the objectives a group, the dynamics are different. For example, a competitive meeting has a different objective from that of a collaborative meeting. We propose a method to characterize group dynamics based on the joint description of a group members' aggregated acoustical nonverbal behaviour to classify two meeting datasets (one being cooperative-type and the other being competitive-type). We use 4.5 hours of real behavioural multi-party data and show that our methodology can achieve a classification rate of upto 100%.
ER