An Emotionally Adaptive Framework for E-Learning Systems

Abstract

The evolution of human-computer interaction has come to new and groundbreaking lengths. Computers are now gaining the ability to perceive human emotions, making this relationship even more revolutionary. Affective computing is a relatively new research area focusing on the integration of human emotions into computer systems. This paper focuses on affective computing in the area of e-learning. The main contribution of this paper is a proposed framework that incorporates human emotions into an adaptive e-learning system in which the system adapts to the users' emotions in order. Our hypothesis is that incorporating user's emotions creates a more personalized learning experience resulting in a higher quality of learning outcomes.