aspg-25-4370-1791493360 20261008210240 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cognitive Human-Computer Interaction JCHCI 2771-1471 2771-1463 2026 11 1 Wadhah Abdullah Saint Petersburg State University, Saint Petersburg, Russia Aygul Z. Ibatova Tyumen Industrial University, Russia Mobile application usability is often discussed after deployment through user reviews or task testing, but many visible design problems can be measured earlier from the interface itself. This paper presents a feature-based framework for quantifying mobile interface visibility, usability, and accessibility risk from screen-level design properties. The study defines a Mobile Interface Visibility–Usability Quality score using observable measures such as primary-action salience, visual density, tap-target adequacy, label completeness, contrast proxy, navigation depth, whitespace, and clutter. The analysis uses a structured extract following public Rico and UICrit-style mobile UI data, where screenshots, hierarchy information, and designer critique concepts support data-driven assessment. The results show that usability quality is not determined by a single visual property. Screens with strong contrast may still be difficult to use if feature discoverability is weak, and screens with many functions may remain usable when hierarchy and labels are clear. The paper contributes a measurement protocol, design risk taxonomy, empirical score analysis, and practical remediation loop for mobile app teams seeking objective evidence before user-facing release. 2026 29 40 4370 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCHCI.110105 https://www.americaspg.com/journal/25/article/4370 https://www.americaspg.com/storage/articles/manuscripts/01KTM9M076E9ZSKJHCMW2ZBJD0.pdf