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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
Official URL: http://www.iadisportal.org/digital-library/relatio...
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 user’s 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 students’ emotion in learning environment.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | facial expression, emotion, affective computing, learning |
Research Division: | Information and Computing Sciences |
Research Group: | Artificial intelligence |
Research Field: | Natural language processing |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Information systems, technologies 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: | 2020-08-21 |
Downloads: | 14 View Download Statistics |
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