id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-028517-85f1yfk5	Radu, Iulian	Relationships Between Body Postures and Collaborative Learning States in an Augmented Reality Study	2020-06-10		.txt	text/plain	1768	89	38	In this paper we explore how Kinect body posture sensors can be used to detect group collaboration and learning, in the context of dyad pairs using augmented reality system. Using unsupervised machine learning methods on Kinect body posture sensor data, we contribute a set of dyad states associated with collaboration quality, attitudes toward physics and learning gains. Another study [12] , which studied Kinect dyad movements, found that body synchronization had no overall effect on any collaborative or learning measures, but found that learning gains were correlated with cycles of "cognition and action", where dyads alternated between reflecting in the activity and interacting with the system. Through these sensors we collected joint coordinates and gaze data from both participants, and calculated dyad posture metrics such as closeness between participants (which may signal how comfortable participants feel with each other), similarity between spine angles (which may indicate that participants mirror each other's posture), orientation towards peers (which may indicate focus on discussion), forward lean (possibly indicating engagement with the task).	./cache/cord-028517-85f1yfk5.txt	./txt/cord-028517-85f1yfk5.txt