An Affective Learning Interface with an Interactive Animated Agent

Affective tutoring system (ATS) utilizes emotion recognition techniques to enhance the affective interface of an intelligent tutoring system (ITS). The aim of this study is to improve interest in learning by recognizing the emotional states of students during their learning processes and giving adequate feedback. This study consists of three research stages: (1) Design both the emotional recognition system and the tutoring strategy module. (2) Design the digital arts learning content module, and the emotional feedback mechanism via the HCI design of interactive avatars. (3) Integrate and evaluate the entire system via a two-stage evaluation. We hope to enhance learners' motivation and interest via affective interaction design, and thereby improve their learning performance. According the results of the evaluation, the system usability was rated highly satisfactory by users. Furthermore, ATS is not only attractive to users, but also increases learning motivation and self-conscious learning achievement.