Indian Journal of Science and Technology
Year: 2018, Volume: 11, Issue: 4, Pages: 1-8
Kok Cheng Lim1 , Ali Selamat2 , Rose Alinda Alias2 , Mohd Hazli Mohamed Zabil1 , Fatimah Puteh2 and Farhan Mohamed2
1 Universiti Tenaga Nasional Selangor, Malaysia; [email protected], [email protected]
2 Universiti Teknologi Malaysia, Johor Bahru, Malaysia; [email protected], [email protected], [email protected], [email protected]
*Author for correspondence
Kok Cheng Lim,
Universiti Tenaga Nasional Selangor, Malaysia; [email protected]
This paper proposes a methodology that utilizes unsupervised machine learning clustering techniques in performance based usability data. This paper will first discuss the introduction and current works in the aforementioned domain followed by proposing the methodology to compare and find a better clustering algorithm in processing usability performance data in the field of mobile augmented reality interfaces. The paper will then present the results yield from an experiment abiding by the proposed methodology and discusses the analysis. The paper will end with a short discussion followed by proposed future works in the research area.
Keywords: Augmented Reality, Clustering, Machine Learning, Mobile, Usability
Subscribe now for latest articles and news.