Cover Image

A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction data

Augmented reality; Hierarchical clustering; Learning systems; Machine learning; Usability engineering; Hierarchical agglomerative clustering; K-means; Performance metrics; Self-reported metrics; Usability; K-means clustering

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-24490
record_format dspace
spelling my.uniten.dspace-244902023-05-29T15:23:57Z A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction 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; Hierarchical clustering; Learning systems; Machine learning; Usability engineering; Hierarchical agglomerative clustering; K-means; Performance metrics; Self-reported metrics; Usability; K-means clustering This article presents the experimental work of comparing the performances of two machine learning approaches, namely Hierarchical Agglomerative clustering and K-means clustering on Mobile Augmented Reality Usability datasets. The datasets comprises of 2 separate categories of data, namely performance and self-reported, which are completely different in nature, techniques and affiliated biases. This research will first present the background and related literature before presenting initial findings of identified problems and objectives. This paper will the present in detail the proposed methodology before presenting the evidences and discussion of comparing this two widely used machine learning approach on usability data. This paper contributes in presenting evidences showing K-means as the better performing clustering algorithm when compared to Hierarchical Agglomerative when implemented on the usability datasets. The results shown has contradicted with some recent studies claiming otherwise, and the findings have created more research gaps pertaining the combined utilization of machine learning and usability analysis. � 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/FAIA190054 2-s2.0-85082049921 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082049921&doi=10.3233%2fFAIA190054&partnerID=40&md5=3ccabc6cdc5a7f22661a740a94b4bc7c https://irepository.uniten.edu.my/handle/123456789/24490 318 258 271 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; Hierarchical clustering; Learning systems; Machine learning; Usability engineering; Hierarchical agglomerative clustering; K-means; Performance metrics; Self-reported metrics; Usability; K-means 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.
A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction data
author_sort Lim K.C.
title A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction data
title_short A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction data
title_full A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction data
title_fullStr A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction data
title_full_unstemmed A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction data
title_sort comparative usability study using hierarchical agglomerative and k-means clustering on mobile augmented reality interaction data
publisher IOS Press
publishDate 2023
_version_ 1806425802055614464
score 13.214268

Similar Items