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Automatically Recognizing Facial Indicators of Frustration: A Learning-centric Analysis
2013
2013 Humaine Association Conference on Affective Computing and Intelligent Interaction
Affective and cognitive processes form a rich substrate on which learning plays out. Affective states often influence progress on learning tasks, resulting in positive or negative cycles of affect that impact learning outcomes. Developing a detailed account of the occurrence and timing of cognitive-affective states during learning can inform the design of affective tutorial interventions. In order to advance understanding of learning-centered affect, this paper reports on a study to analyze a
doi:10.1109/acii.2013.33
dblp:conf/acii/GrafsgaardWBWL13
fatcat:xk5ywob2hres5azr3ph26dgbmy