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Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data

Augmented reality; Clustering algorithms; Machine learning; Usability engineering; English language teaching; Hierarchical agglomerative clustering; Mobile augmented reality; Performance metrics; Self-reported metrics; Usability; Hierarchical clustering

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Bibliographic Details
Main Authors: Lim K.C., Selamat A., Mohamed Zabil M.H., Yusoff Y., 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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spelling my.uniten.dspace-244892023-05-29T15:23:57Z Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data Lim K.C. Selamat A. Mohamed Zabil M.H. Yusoff Y. Selamat M.H. Alias R.A. Puteh F. Mohamed F. Krejcar O. 57188850203 24468984100 35185866500 56921898900 57215520379 25928253600 57202529348 55416008900 14719632500 Augmented reality; Clustering algorithms; Machine learning; Usability engineering; English language teaching; Hierarchical agglomerative clustering; Mobile augmented reality; Performance metrics; Self-reported metrics; Usability; Hierarchical clustering This paper presents fractions of research outcome from a bigger project involving machine learning, Hierarchical Agglomerative Clustering (HAC) Algorithms on usability data gathered through performance and self-reported data. This paper highlights the common problems in usability studies where the conventional analysis was frequently utilized while prioritizing usability issues. The utilization of clustering techniques is limited in the area of this study. A previous publication has shown how HAC was used in clustering usability problems in Mobile Augmented Reality (MAR) learning applications. However, there has not been a triangulation effort to confirm the first gathered results due to small datasets. This research presents a methodology adopted from previous studies in confirming earlier usability analysis results. The experiments found consistent evidence approving the feasibility of HAC in clustering and prioritizing Usability performance and self-reported data. � 2019 The authors and IOS Press. All rights reserved. Final 2023-05-29T07:23:57Z 2023-05-29T07:23:57Z 2019 Conference Paper 10.3233/FAIA190075 2-s2.0-85082080723 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082080723&doi=10.3233%2fFAIA190075&partnerID=40&md5=4b64006fced34966cd199f9e082d1328 https://irepository.uniten.edu.my/handle/123456789/24489 318 500 511 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 Augmented reality; Clustering algorithms; Machine learning; Usability engineering; English language teaching; Hierarchical agglomerative clustering; Mobile augmented reality; Performance metrics; Self-reported metrics; Usability; Hierarchical clustering
author2 57188850203
author_facet 57188850203
Lim K.C.
Selamat A.
Mohamed Zabil M.H.
Yusoff Y.
Selamat M.H.
Alias R.A.
Puteh F.
Mohamed F.
Krejcar O.
format Conference Paper
author Lim K.C.
Selamat A.
Mohamed Zabil M.H.
Yusoff Y.
Selamat M.H.
Alias R.A.
Puteh F.
Mohamed F.
Krejcar O.
spellingShingle Lim K.C.
Selamat A.
Mohamed Zabil M.H.
Yusoff Y.
Selamat M.H.
Alias R.A.
Puteh F.
Mohamed F.
Krejcar O.
Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data
author_sort Lim K.C.
title Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data
title_short Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data
title_full Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data
title_fullStr Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data
title_full_unstemmed Triangulating the implementation of hierarchical agglomerative clustering on MAR-learning usability data
title_sort triangulating the implementation of hierarchical agglomerative clustering on mar-learning usability data
publisher IOS Press
publishDate 2023
_version_ 1806423227463892992
score 13.1944895

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