Quantifying usability prioritization using K-means clustering algorithm on hybrid metric features for MAR learning

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

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

1 Citation (Scopus)

Abstract

This paper presents and discusses an empirical work of using machine learning K-means clustering algorithm in analyzing and processing Mobile Augmented Reality (MAR) learning usability data. This paper first discusses the issues within usability and machine learning spectrum, then explain in detail a proposed methodology approaching the experiments conducted in this research. This contributes in providing empirical evidence on the feasibility of K-means algorithm through the discreet display of preliminary outcomes and performance results. This paper also proposes a new usability prioritization technique that can be quantified objectively through the calculation of negative differences between cluster centroids. Towards the end, this paper will discourse important research insights, impartial discussions and future works.

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
Pages190-204
Number of pages15
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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  • Cite this

    Lim, K. C., Selamat, A., Mohamed Zabil, M. H., Selamat, M. H., Alias, R. A., Puteh, F., Mohamed, F., & Krejcar, O. (2019). Quantifying usability prioritization using K-means clustering algorithm on hybrid metric features for MAR learning. 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. 190-204). (Frontiers in Artificial Intelligence and Applications; Vol. 318). IOS Press. https://doi.org/10.3233/FAIA190049