Enhancing LMS Design through SUS Analysis and Biometric Usability Testing
Min Thuta Naing, Shwe Sin Tun, Shwin Pyone Thu, Soe Yu Yu Kyaw, Prasara Jakkaew · 2025
With the rapid advancement of e-learning platforms, especially Learning Management Systems (LMS), there have been increasing issues in achieving a seamless user experience. Although LMS are becoming integrated into the traditional education system, they often fail to meet the expectations of students and lecturers, which causes the dissatisfaction and frustration. This study examines the usability of the LMS at Mae Fah Luang University by applying both traditional System Usability Scale (SUS) surveys and refined biometric usability testing, using facial expression analysis and respiratory data collection. These dual techniques ensure to uncover the deeper knowledge into the emotion and cognitive states of the users while they are interacting with the LMS. The SUS survey showed the navigation issues and user interface (UI) complexity, with the poor usability score of 55. Biometric data analysis then emphasized and validated these findings, by revealing the negative emotions together with fluctuated respiratory patterns. SUS and biometric approach to usability testing focus on requirements of implementing an intuitive and user-friendly LMS design to improve the learning experience of the students. Recommendations encompass the information visibility, clear navigation paths and timely notification to improve overall usability of LMS.