Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR)

Augmented reality (AR) is believed to be the next wave of online learning. New user experiences become possible to afford AR capabilities with the advent of powerful smartphones. Mostly, studies related to the use of augmented reality in education focus on cognition with little consideration is give...

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Main Author:	An-Nuratiqah Khairuddin
Format:	thesis
Language:	eng
Published:	2018
Subjects:	QA76 Computer software
Online Access:	https://ir.upsi.edu.my/detailsg.php?det=3709
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record_format	uketd_dc
spelling	oai:ir.upsi.edu.my:37092020-02-27 Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR) 2018 An-Nuratiqah Khairuddin QA76 Computer software Augmented reality (AR) is believed to be the next wave of online learning. New user experiences become possible to afford AR capabilities with the advent of powerful smartphones. Mostly, studies related to the use of augmented reality in education focus on cognition with little consideration is given to emotions which is important in learning. Therefore, this research aims to identify salient connections between emotions and design elements of augmented reality-based online learning material by applying Kansei Engineering (KE) approach. In this research, mobile augmented reality application related to the human heart was prepared to be used as a case for the study. Seven specimens of the mobile augmented reality application were evaluated with 55 emotions of Kansei Words (KW). 28 students from one of the public universities performed the experiment evaluation . The gathered data were then analyzed using Factor Analysis, Principal Component Analysis and Partial Least Squares analysis. The results revealed the important pillars of emotions or kansei semantic space emotions for augmented reality-based online learning materials. Based on Factor Analysis, it revealed four main pillars; professional-motivated, confused, wandering-thrilled and one additional pillar; trustable. Besides that, this research described design elements of augmented reality-based online learning material that might evoke specific emotions based on five identified pillars. Ultimately, this research is an attempt to guide the design with affective formula during preparation of augmented reality online learning materials in the future. 2018 thesis https://ir.upsi.edu.my/detailsg.php?det=3709 https://ir.upsi.edu.my/detailsg.php?det=3709 text eng closedAccess Masters Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif N/A
institution	Universiti Pendidikan Sultan Idris
collection	UPSI Digital Repository
language	eng
topic	QA76 Computer software
spellingShingle	QA76 Computer software An-Nuratiqah Khairuddin Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR)
description	Augmented reality (AR) is believed to be the next wave of online learning. New user experiences become possible to afford AR capabilities with the advent of powerful smartphones. Mostly, studies related to the use of augmented reality in education focus on cognition with little consideration is given to emotions which is important in learning. Therefore, this research aims to identify salient connections between emotions and design elements of augmented reality-based online learning material by applying Kansei Engineering (KE) approach. In this research, mobile augmented reality application related to the human heart was prepared to be used as a case for the study. Seven specimens of the mobile augmented reality application were evaluated with 55 emotions of Kansei Words (KW). 28 students from one of the public universities performed the experiment evaluation . The gathered data were then analyzed using Factor Analysis, Principal Component Analysis and Partial Least Squares analysis. The results revealed the important pillars of emotions or kansei semantic space emotions for augmented reality-based online learning materials. Based on Factor Analysis, it revealed four main pillars; professional-motivated, confused, wandering-thrilled and one additional pillar; trustable. Besides that, this research described design elements of augmented reality-based online learning material that might evoke specific emotions based on five identified pillars. Ultimately, this research is an attempt to guide the design with affective formula during preparation of augmented reality online learning materials in the future.
format	thesis
qualification_name
qualification_level	Master's degree
author	An-Nuratiqah Khairuddin
author_facet	An-Nuratiqah Khairuddin
author_sort	An-Nuratiqah Khairuddin
title	Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR)
title_short	Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR)
title_full	Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR)
title_fullStr	Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR)
title_full_unstemmed	Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR)
title_sort	evaluating students emotional response in augmented reality-based learning using kansei engineering (ir)
granting_institution	Universiti Pendidikan Sultan Idris
granting_department	Fakulti Seni, Komputeran dan Industri Kreatif
publishDate	2018
url	https://ir.upsi.edu.my/detailsg.php?det=3709
_version_	1747833099671044096

Evaluating students emotional response in augmented reality-based learning using kansei engineering (IR)

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