Annotation and Classification of Changes of Involvement in Group Conversation

; ; ; (). Annotation and Classification of Changes of Involvement in Group Conversation. In: Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction. (803-808). Piscataway, NJ, USA: IEEE.

The detection of involvement in a conversation is
important to assess the level humans are participating in either
a human-human or human-computer interaction. Especially,
detecting changes in a group’s involvement in a multi-party
interaction is of interest to distinguish several constellations
in the group itself. This information can further be used in
situations where technical support of meetings is favoured,
for instance, focusing a camera, switching microphones, etc.
Moreover, this information could also help to improve the
performance of technical systems applied in human-machine
interaction. In this paper, we concentrate on video material
given by the TableTalk corpus. Therefore, we introduce a
way of annotating and classifying changes of involvement and
discuss the reliability of the annotation. Further, we present
classification results based on video features using Multi-Layer
Networks.