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Affective Computing in E-Learning Modules: Comparative Analysis With Two Activities

Maharjan, M, Yeom, SJ ORCID: 0000-0002-5843-101X, Kim, S-Y and Fan, S ORCID: 0000-0003-1572-3677 2020 , 'Affective Computing in E-Learning Modules: Comparative Analysis With Two Activities', in P Isaias and K Blashki (eds.), Interactivity and the Future of the Human-Computer Interface , IGI Global, United States.

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Abstract

This paper presents a study on emotion of students and reaction towards learning and watching video clip 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 students’ 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 emotion.

Item Type: Book Section
Authors/Creators:Maharjan, M and Yeom, SJ and Kim, S-Y and Fan, S
Keywords: affective computing, emotion, learning activity
Publisher: IGI Global
DOI / ID Number: 10.4018/978-1-7998-2637-8.ch009
Copyright Information:

Copyright 2020 IGI Global

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