Title

Enable 3A in AIS

Abstract

Advances in computer technology have made it possible to intrepidly identify and classify human emotions. While this technology has matured, only a few applications have appeared using this technology in advanced learning environments. Imagine, if you will, the existence of an application of Adaptive Instructional System (AIS), such as an Intelligent Tutoring System (ITS), that would be able to understand when a learner is sad, disengaged, or any other emotional state desired to track. There is a huge potential of this for improving an AIS system’s feedback or interventions. Our team has developed the advanced technology for a quick-acting emotion-tracking system that is easy to use for an internet-based ITS. An ITS is able to incorporate this revolutionary feature by being aware of content, context, and the user’s emotion state. In fact most of the mobile apps are currently tracking these three awareness by utilizing available sensors as audio, video, and inertial measurement unit (IMU) sensors. Learning applications would be more efficient if they are integrated with these three awareness (3A) [3].

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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