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Affective Computing in E-Learning Modules: Comparative Analysis With Two Activities
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Author(s): Mahima Maharjan (University of Tasmania, Australia), Soonja Yeom (University of Tasmania, Australia), Soo-Hyung Kim (Chonnam National University, South Korea)and Si Fan (University of Tasmania, Australia)
Copyright: 2020
Pages: 21
Source title:
Interactivity and the Future of the Human-Computer Interface
Source Author(s)/Editor(s): Pedro Isaias (Information Systems and Technology Management School, The University of New South Wales, Australia)and Katherine Blashki (Victorian Institute of Technology, Australia)
DOI: 10.4018/978-1-7998-2637-8.ch009
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Abstract
This article presents a study on emotions of students and their reactions towards learning and watching video clips with different personality traits, with the help of existing facial expression analyzing applications. To demonstrate this, the user's expressions are recorded as video while watching the movie trailer and doing the quiz. The results obtained are studied to find which emotion is most prevalent among the users in different situations. This study shows that students experience seemingly different emotions during the activity. This study explores the use of affective computing for further comprehension of student emotion in learning environments. While previous studies show that there is a positive correlation between emotion and academics, the current study demonstrated the existence of the inverse relation between them. In addition, the study of the facial analysis of movie trailer confirmed that different people have different ways of expressing the feeling. Results of the study will help to further clarify connection between various personality traits and emotions.
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