The MULTISIMO multimodal corpus of collaborative interactions
Maria Koutsombogera, Carl M. Vogel · 2017
This paper describes a recently created multimodal corpus that has been designed to address multiparty interaction modelling, specifically collaborative aspects in task-based group interactions. A set of human-human interactions was collected with HD cameras, microphones and a Kinect sensor. The scenario involves 2 participants playing a game instructed and guided by a facilitator. Additionally to the recordings, survey material was collected, including personality tests of the participants and experience assessment questionnaires. The corpus will be exploited for modelling behavioral aspects in collaborative group interaction by taking into account the speakers' multimodal signals and psychological variables.