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

Kok Cheng Lim, Ali Selamat, Mohd Hazli Mohamed Zabil, Yunus Yusoff, Md Hafiz Selamat, Rose Alinda Alias, Fatimah Puteh, Farhan Mohamed, Ondrej Krejcar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationAdvancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2019
EditorsHamido Fujita, Ali Selamat
PublisherIOS Press
Pages258-271
Number of pages14
ISBN (Electronic)9781643680125
DOIs
Publication statusPublished - 29 Aug 2019
Event18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2019 - Kuching, Malaysia
Duration: 23 Sep 201925 Sep 2019

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume318
ISSN (Print)0922-6389

Conference

Conference18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2019
CountryMalaysia
CityKuching
Period23/09/1925/09/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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    Lim, K. C., Selamat, A., Mohamed Zabil, M. H., Yusoff, Y., Selamat, M. H., Alias, R. A., Puteh, F., Mohamed, F., & Krejcar, O. (2019). A comparative usability study using Hierarchical Agglomerative and K-means clustering on Mobile Augmented reality interaction data. In H. Fujita, & A. Selamat (Eds.), Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 18th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2019 (pp. 258-271). (Frontiers in Artificial Intelligence and Applications; Vol. 318). IOS Press. https://doi.org/10.3233/FAIA190054