Staff View: Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application

Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application

Artificial intelligence; Augmented reality; Cluster analysis; Computer aided instruction; Learning systems; Usability engineering; Agglomerative clustering; English language teaching; Mobile augmented reality; Unsupervised machine learning; Usability; Learning algorithms

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Bibliographic Details
Main Authors:	Cheng L.K., Selamat A., Mohamed Zabil M.H., Selamat M.H., Alias R.A., Puteh F., Mohamed F., Krejcar O.
Other Authors:	57188850203
Format:	Conference Paper
Published:	IOS Press 2023
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id	my.uniten.dspace-23420
record_format	dspace
spelling	my.uniten.dspace-234202023-05-29T14:40:21Z Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application Cheng L.K. Selamat A. Mohamed Zabil M.H. Selamat M.H. Alias R.A. Puteh F. Mohamed F. Krejcar O. 57188850203 24468984100 35185866500 57215520379 25928253600 57202529348 55416008900 14719632500 Artificial intelligence; Augmented reality; Cluster analysis; Computer aided instruction; Learning systems; Usability engineering; Agglomerative clustering; English language teaching; Mobile augmented reality; Unsupervised machine learning; Usability; Learning algorithms This paper highlights the current literatures in usability studies, performance metrics and machine learning algorithm. A literature review is done in these three areas of studies to find a research gap that can be explored further. The paper will then propose a research methodology to attend to the issues of machine learning and usability. An experiment is proposed to compare the efficiency results in between data consistency, correlation between performance metrics and selfreported metrics of a Mobile Augmented Reality learning application. The methodology proposes hierarchical agglomerative clustering technique as a solution in differentiating usability issues according to priority in order to help with usability re-engineering decisions. This paper proposes two objectives through the proposed framework and present evidence on how to achieve them. Lastly, this paper will discuss the results, conclusion and future works of the proposed study. � 2017 The authors and IOS Press. All rights reserved. Final 2023-05-29T06:40:21Z 2023-05-29T06:40:21Z 2017 Conference Paper 10.3233/978-1-61499-800-6-731 2-s2.0-85029220080 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029220080&doi=10.3233%2f978-1-61499-800-6-731&partnerID=40&md5=4c8aa48bc07a1160601b146794b2c202 https://irepository.uniten.edu.my/handle/123456789/23420 297 731 744 IOS Press Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Artificial intelligence; Augmented reality; Cluster analysis; Computer aided instruction; Learning systems; Usability engineering; Agglomerative clustering; English language teaching; Mobile augmented reality; Unsupervised machine learning; Usability; Learning algorithms
author2	57188850203
author_facet	57188850203 Cheng L.K. Selamat A. Mohamed Zabil M.H. Selamat M.H. Alias R.A. Puteh F. Mohamed F. Krejcar O.
format	Conference Paper
author	Cheng L.K. Selamat A. Mohamed Zabil M.H. Selamat M.H. Alias R.A. Puteh F. Mohamed F. Krejcar O.
spellingShingle	Cheng L.K. Selamat A. Mohamed Zabil M.H. Selamat M.H. Alias R.A. Puteh F. Mohamed F. Krejcar O. Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application
author_sort	Cheng L.K.
title	Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application
title_short	Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application
title_full	Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application
title_fullStr	Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application
title_full_unstemmed	Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application
title_sort	usability prioritization using performance metrics and hierarchical agglomerative clustering in mar-learning application
publisher	IOS Press
publishDate	2023
_version_	1806425751195484160
score	13.222552

Usability prioritization using performance metrics and hierarchical agglomerative clustering in MAR-learning application

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