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Enhancing User Experience in Mobile Learning by Affective Interaction

The demands of an increasingly knowledge based society and the advances in mobile phone technology are combining to spur the growth of mobile learning. However, for mobile learning to attain its full potential, it is essential to develop more advanced technologies that are tailored to the needs of this new learning environment. We present a non-invasive emotion-aware m-learning model based on multi-modal emotion detection, to deliver learning services that correspond to the students' needs, and to adapt a learning system according to a student's status, thereby enhancing the student's learning experience. The research presented in this paper is to augment our m-learning system in daily use at the School of Continuing Education of Shanghai Jiao Tong University, a blended-learning institution with 35.000 students.