Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning

Today, expressing emotions via social media can be done by manually choosing the closest emoji to their emotion from the selection of emojis. No real-time emotion detection is applied to provide the user with a personalized experience. This study explored the possibility, and the readiness, of using...

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Main Author:	John Jayaraj, Priyangka
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QA76 Computer software
Online Access:	http://eprints.utm.my/102871/1/PriyangkaJohnJayarajMSC2022.pdf.pdf
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id	my-utm-ep.102871
record_format	uketd_dc
spelling	my-utm-ep.1028712023-09-26T06:06:58Z Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning 2022 John Jayaraj, Priyangka QA76 Computer software Today, expressing emotions via social media can be done by manually choosing the closest emoji to their emotion from the selection of emojis. No real-time emotion detection is applied to provide the user with a personalized experience. This study explored the possibility, and the readiness, of using mobile Brain-Computer Interface (BCI) to improve user’s experience in social media platforms. To understand how users perceive emotional expression on social media, the study conducted an online survey involving 50 participants. Interview sessions with eight participants followed this to elicit their perspectives on selecting emojis for expressing emotions. A qualitative analysis was applied to analyse the transcript from the interview session. The findings indicated that users preferred to express their emotions indirectly and elaborately, supported by emojis and stickers. An emotion expression model on a social media platform using a mobile brain-computer interface was proposed due to the absence of such a model in facilitating social media integration with BCI. The model consisted of the input, translation from the input and the output. The proposed model was evaluated through experts’ review. Further, to exemplify the usage of the proposed model, a prototype was developed as a platform for users to detect and express their emotions based on their preferences and for emotional engagement. The evaluation of the proposed prototype was divided into two: emotion expression and emotion detection. For emotion detection, the accuracy was evaluated using user rating, and for emotion expression, Retrospective Thinking aloud (RTA) and Usability testing using the System Usability Scale (SUS) form was performed. The evaluation results stated that the user rating accuracy was 87.5 %, and the SUS score was 81.6, which fell on the excellent rating. This work pushes the boundaries of typical BCI into a leisurely usage of emotion detection and expression on social media platforms. 2022 Thesis http://eprints.utm.my/102871/ http://eprints.utm.my/102871/1/PriyangkaJohnJayarajMSC2022.pdf.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150760 masters Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software John Jayaraj, Priyangka Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning
description	Today, expressing emotions via social media can be done by manually choosing the closest emoji to their emotion from the selection of emojis. No real-time emotion detection is applied to provide the user with a personalized experience. This study explored the possibility, and the readiness, of using mobile Brain-Computer Interface (BCI) to improve user’s experience in social media platforms. To understand how users perceive emotional expression on social media, the study conducted an online survey involving 50 participants. Interview sessions with eight participants followed this to elicit their perspectives on selecting emojis for expressing emotions. A qualitative analysis was applied to analyse the transcript from the interview session. The findings indicated that users preferred to express their emotions indirectly and elaborately, supported by emojis and stickers. An emotion expression model on a social media platform using a mobile brain-computer interface was proposed due to the absence of such a model in facilitating social media integration with BCI. The model consisted of the input, translation from the input and the output. The proposed model was evaluated through experts’ review. Further, to exemplify the usage of the proposed model, a prototype was developed as a platform for users to detect and express their emotions based on their preferences and for emotional engagement. The evaluation of the proposed prototype was divided into two: emotion expression and emotion detection. For emotion detection, the accuracy was evaluated using user rating, and for emotion expression, Retrospective Thinking aloud (RTA) and Usability testing using the System Usability Scale (SUS) form was performed. The evaluation results stated that the user rating accuracy was 87.5 %, and the SUS score was 81.6, which fell on the excellent rating. This work pushes the boundaries of typical BCI into a leisurely usage of emotion detection and expression on social media platforms.
format	Thesis
qualification_level	Master's degree
author	John Jayaraj, Priyangka
author_facet	John Jayaraj, Priyangka
author_sort	John Jayaraj, Priyangka
title	Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning
title_short	Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning
title_full	Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning
title_fullStr	Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning
title_full_unstemmed	Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning
title_sort	effectiveness of quizizz on emotion expression on a social media platform using mobile brain-computer interfaceschool students’ english grammar learning
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2022
url	http://eprints.utm.my/102871/1/PriyangkaJohnJayarajMSC2022.pdf.pdf
_version_	1783729228756287488

Effectiveness of quizizz on Emotion expression on a social media platform using mobile brain-computer interfaceschool students’ English grammar learning

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