文章基本信息

标题：Design and Implementation of Technology Enabled Affective Learning Using Fusion of Bio-physical and Facial Expression
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作者：Arindam Ray ; Amlan Chakrabarti
期刊名称：Educational Technology and Society
印刷版ISSN：1176-3647
电子版ISSN：1436-4522
出版年度：2016
卷号：19
期号：4
页码：112-125
出版社：IFETS - Attn Kinshuck
摘要：Technology Enabled Learning is a cognitive, constructive, systematic, collaborative learning procedure, which transforms teaching-learning pedagogy where role of emotion is very often neglected. Emotion plays significant role in the cognitive process of human being, so the transformation is incomplete without capturing the learners emotional state. This paper, proposes a new Affective Computing Module in E-Learning system that focuses on capturing of emotional aspects, managing learning activities, timing and their reflection on the overall learning process. Human Computer Interaction aims at recognizing the learners emotional state in order to provide a horizontal interface between human and computer. We have adopted bio-physical (Heart Rate, Skin Conductance and Blood Volume Pressure) and facial expression methods, as these can be made both in-obtrusive and robust against number of environmental conditions, to extract affective state of the learner. This study explores how emotion evolves during the learning process and how emotion feedback is used to improve learning experiences. We propose a learner emotion detection and automated lesson selection model, where two emotion attributes have been fused and achieved an efficient model for Affective E-Learning System, which obtained the sound classification rate. The system can select the learning pedagogy of the learner from detected emotion through neuro-fuzzy logic. Our research shows reasonable results in comparison with the existing systems. The result proves that the recognizer system is efficient.
关键词：E-Learning; Affective learning; Emotion; Bio-physical signal; Facial signal; Fusion