LREC MMC10
Oya Aran, Hayley Hung, Daniel Gatica-Perez
in Workshop on Multimodal Corpora, Malta, 2010 (in conjunction with the 7th International Conference for Language Resources and Evaluation).
We present a new multimodal corpus with dominance annotations on small group conversations. We used five-minute non-overlapping slices from a subset of meetings selected from the popular Augmented Multi-party Interaction (AMI) corpus. The total length of the annotated corpus corresponds to 10 hours of meeting data. The novelty of this dataset comes from the dominance annotations as the AMI meeting corpus is well known.
For each meeting segment, three annotators ranked the participants according to their level of perceived dominance. We then assessed the agreement between the three annotators for each meeting. Furthermore, we analyzed the annotations with respect to dominance, status, gender and behavior. The results of the analysis reflect the findings in the social psychology literature on dominance. The described dataset provides an appropriate testbed for automatic dominance analysis.