Abstract
Collaboration is an important skill of the 21st century. It can take place in an online (or remote) setting or in a co-located (or face-to-face) setting. With the large scale adoption of sensor use, studies on co-located collaboration (CC) has gained momentum. CC takes place in physical spaces where the group members share each other’s social and epistemic space. This involves subtle multimodal interactions such as gaze, gestures, speech, discourse which are complex in nature. The aim of this PhD is to detect these interactions and then use these insights to build an automated real-time feedback system to facilitate co-located collaboration.
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