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Relationship between temporary emotion of students and performance in learning through comparing facial expression analytics

Citation

Maharjan, M and Kim, S-H and Yeom, SJ and Fan, S, Relationship between temporary emotion of students and performance in learning through comparing facial expression analytics, Proceedings of the 13th International Conference on Interfaces and Human Computer Interaction, 16-18 July 2019, Porto, Portugal, pp. 141-148. ISBN 978-989-8533-91-3 (2019) [Refereed Conference Paper]


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Copyright 2019 Inderscience

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Abstract

This paper presents a study on temporary emotion of students and their performance related to learning activities. This paper elucidates different kinds of facial expressions elicited during the activities: quiz and a movie trailer with the help of existing facial expression analyzing applications. The userís expressions are recorded as video while watching the movie trailer and doing the quiz. The video is processed by different applications which gives the score for different emotions. The results obtained are studied to find which emotion is mostly prevalent among the user in different situations. From this study, it is shown that students experience seemingly different emotions during the activity. The emotions they portrayed were confusion, sadness, anger and neutral. This study explores the use of affective computing for further comprehension of studentsí emotion in learning environment.

Item Details

Item Type:Refereed Conference Paper
Keywords:facial expression, emotion, affective computing, learning
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Natural Language Processing
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Computer Software and Services not elsewhere classified
UTAS Author:Maharjan, M (Mrs Mahima Maharjan)
UTAS Author:Yeom, SJ (Dr Soonja Yeom)
UTAS Author:Fan, S (Dr Frances Fan)
ID Code:134120
Year Published:2019
Deposited By:Information and Communication Technology
Deposited On:2019-07-29
Last Modified:2019-11-07
Downloads:0

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