Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering

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. Most studies related to the use of augmented reality in education focused on cognition with little consideration given to...

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Published in:Communications in Computer and Information Science
Main Author: Khairuddin A.-N.A.; Redzuan F.; Daud N.A.
Format: Conference paper
Language:English
Published: Springer Verlag 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052926920&doi=10.1007%2f978-981-13-1628-9_8&partnerID=40&md5=1c75371e34989a5e67054479e48c57db
id 2-s2.0-85052926920
spelling 2-s2.0-85052926920
Khairuddin A.-N.A.; Redzuan F.; Daud N.A.
Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering
2018
Communications in Computer and Information Science
886

10.1007/978-981-13-1628-9_8
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052926920&doi=10.1007%2f978-981-13-1628-9_8&partnerID=40&md5=1c75371e34989a5e67054479e48c57db
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. Most studies related to the use of augmented reality in education focused on cognition with little consideration 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 mobile 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 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 evaluation experiment. The gathered data were then analyzed using Factor Analysis and Principal Component Analysis. The results revealed the important pillars of emotions or kansei semantic space emotions for augmented reality-based mobile 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 mobile learning material that might evoke specific emotions based on five identified pillars. Ultimately, this research is an attempt to guide the design with affective elements during preparation of augmented reality learning materials in the future. © 2018, Springer Nature Singapore Pte Ltd.
Springer Verlag
18650929
English
Conference paper

author Khairuddin A.-N.A.; Redzuan F.; Daud N.A.
spellingShingle Khairuddin A.-N.A.; Redzuan F.; Daud N.A.
Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering
author_facet Khairuddin A.-N.A.; Redzuan F.; Daud N.A.
author_sort Khairuddin A.-N.A.; Redzuan F.; Daud N.A.
title Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering
title_short Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering
title_full Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering
title_fullStr Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering
title_full_unstemmed Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering
title_sort Evaluating students’ emotional response in augmented reality-based mobile learning using kansei engineering
publishDate 2018
container_title Communications in Computer and Information Science
container_volume 886
container_issue
doi_str_mv 10.1007/978-981-13-1628-9_8
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052926920&doi=10.1007%2f978-981-13-1628-9_8&partnerID=40&md5=1c75371e34989a5e67054479e48c57db
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. Most studies related to the use of augmented reality in education focused on cognition with little consideration 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 mobile 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 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 evaluation experiment. The gathered data were then analyzed using Factor Analysis and Principal Component Analysis. The results revealed the important pillars of emotions or kansei semantic space emotions for augmented reality-based mobile 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 mobile learning material that might evoke specific emotions based on five identified pillars. Ultimately, this research is an attempt to guide the design with affective elements during preparation of augmented reality learning materials in the future. © 2018, Springer Nature Singapore Pte Ltd.
publisher Springer Verlag
issn 18650929
language English
format Conference paper
accesstype
record_format scopus
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