Optimizing User Interaction with MABIS: An Examination of Usability and User Experience in the Mobile Automated Biometric Identification System
William Penaflor Rey · 2024
This study focuses on the evaluation of the Mobile Automated Biometric Identification System (MABIS) through a dual approach incorporating both quantitative and qualitative methodologies. Utilizing the System Usability Scale (SUS) for gauging usability and the User Experience Questionnaire (UEQ) for assessing user experience, the research gathers data from a diverse participant pool. MABIS exhibits exemplary usability, as reflected in an outstanding average SUS score of 87.475, corresponding to an "Excellent" grade. The User Experience Questionnaire (UEQ) unveils nuanced dimensions, emphasizing Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The discussion synthesizes findings from SUS and UEQ, identifying convergences and divergences to present a comprehensive view of MABIS performance. Commonalities and disparities between usability and user experience provide valuable insights, offering targeted improvement areas. The study's implications extend to practical enhancements in MABIS, ensuring user satisfaction and positive overall experiences. In conclusion, this research contributes to advancing fingerprint identification systems by emphasizing the integration of usability and user experience considerations in system development.