Affective Artificial Intelligence in Education: From Detection to Adaptation

This paper reviews and integrates research that would be necessary to develop an AIED system able to detect and then appropriately react to an affective state of a learner. It addresses the nature of affect, methods to automatically detect affect, as well as the interplay between affect and learning-related cognition, and affective strategies that promote quality learning. Keywords. Affect detection, affect and learning, affect–related strategies.

• Type: Conference
• Year: 2009
• Where: AIED
• Authors: Emmanuel G. Blanchard, Boris Volfson, Yuan-Jin Hong, Susanne P. Lajoie
• Keywords: Affective State, Affective Strategies, AIED 2009, Artificial Intelligence, Paper Reviews