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

• Main Authors: Lim, Kok Cheng, Selamat, Ali, Mohamed Zabil, Mohd. Hazli, Selamat, Md. Hafiz, Alias, Rose Alinda, Puteh, Fatimah, Mohamed, Farhan, Krejcar, Ondrej
• Format: Conference or Workshop Item
• Published: 2019
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/90692/; http://dx.doi.org/10.3233/FAIA190049
• Institution: Universiti Teknologi Malaysia

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...