🤖 AI Summary
Existing mobile application usability research suffers from methodological fragmentation, superficial analysis, and disjointed problem taxonomies. To address these limitations, this study employs a systematic literature review and semi-structured expert interviews, integrating academic and practitioner data through triangulation. It proposes a hierarchical, extensible taxonomy encompassing 16 usability problem categories, supported by a curated keyword lexicon. Crucially, the study introduces the “Application–User–Resource” (AUR) three-layer classification model, identifying interface design as the root cause of most usability issues. The resulting taxonomy balances theoretical rigor with practical applicability, offering a unified, operationally grounded framework for usability evaluation, quality assurance tool development, and future empirical studies.
📝 Abstract
Despite years of research on testing the usability of mobile applications, our understanding of the issues their users experience still remains fragmented and underexplored. While most earlier studies has provided interesting insights, they have varying limitations in methodology, input diversity, and depth of analysis.On the contrary, this study employs a triangulation strategy, using two research methods (systematic literature review and interview) and two data sources (scholarly literature and expert knowledge) to explore the traits underlying usability issues. Our study contributes to the field of human-computer interaction (HCI) by presenting a catalog of 16 usability issue categories, enriched with corresponding keywords and extended into a taxonomy, as well as a novel three-tier app-user-resource (AUR) classification system. At the first app level, usability issues arise from user interface design, as well as from efficiency, errors, and operability. At the second user level, they influence cognitive load, effectiveness, ease of use, learnability, memorability, and understandability. At the third resource level, usability issues stem from network quality and hardware, such as battery life, CPU speed, physical device button size and availability, RAM capacity, and screen size. The root cause of the usability issues is the user interface design. Detailed findings and takeaways for both researchers and practitioners are also discussed. Further research could focus on developing a measurement model for the identified variables to confirm the direction and strength of their relationships with perceived usability. Software vendors can also benefit by updating existing quality assurance programs, reviews and audits tools, as well as testing checklists.