The Tower Game Dataset: A Multimodal Dataset for Analyzing Social Interaction Predicates

We introduce the Tower Game Dataset for computational modeling of social interaction predicates. Existing research in affective computing has focused primarily on recognizing the emotional and mental state of a human based on external behaviors. Recent research in the social science community argues that engaged and sustained social interactions require the participants to jointly coordinate their verbal and non-verbal behaviors. With this as our guiding principle, we collected the Tower Game Dataset consisting of multimodal recordings of two players participating in a tower building game, in the process communicating and collaborating with each other. The format of the game was specifically chosen as it elicits spontaneous communication from the participants through social interaction predicates such as joint attention and entrainment. The dataset will be made public and we believe that it will foster new research in the area of computational social interaction modeling.