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Uncovering Usability Issues in Mobile Government Applications: A User-Centered Approach
Author(s) -
Rawan Alabdulrahman,
Fayez Alqahtani,
Manal Binkhonain
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3614165
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Mobile government (M-Gov) applications have become essential platforms for delivering public services, with usability directly influencing user access, trust, and digital inclusion. However, most prior studies on M-Gov usability rely on top-down evaluation methods, such as heuristic assessments or standardized frameworks (e.g., ISO, SUS), which often miss the complex, context-sensitive nature of M-Gov user interaction. This study addresses this gap by adopting a bottom-up, user-centered approach to identify usability issues that arise during actual use of the M-Gov service. Usability data was collected through think-aloud protocols, post-task reflections, and post-study questionnaires. Inductive thematic analysis revealed eight interrelated usability themes, each composed of sub-themes that captured specific issues, resulting in a total of sixteen sub-themes. The core usability issues are: Task Flow Disruptions, Navigation Difficulties, Content Issues, Performance Issues, Support Limitations, Ineffective Error Feedback, Interface Design Issues, Accessibility Barriers. This approach shows how usability challenges emerge and escalate during service interactions. The findings reveal gaps in user behavior alignment, clear communication, and accessibility, especially for older users or people with limited digital skills. The study contributes to M-Gov usability research by offering a structured taxonomy of observed usability failures and extends current evaluation practices by offering a behaviorally grounded view of usability in M-Gov apps and informing more inclusive and reliable digital service design.

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