Gaze quality assisted automatic recognition of social contexts in collaborative Tetris

The use of dual eye-tracking is investigated in a collabora- tive game setting. Social context influences individual gaze and action during a collaborative Tetris game: results show that experts as well as novices adapt their playing style when interacting in mixed ability pairs. The long term goal of our work is to design adaptive gaze awareness tools that take the pair composition into account. We therefore investigate the automatic detection (or recognition) of pair composition us- ing dual gaze-based as well as action-based multimodal fea- tures. We describe several methods for the improvement of detection (or recognition), especially in the situations when the collected gaze data are noisy.