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Adaptive and Accessible User Interfaces for Seniors Through Model-Driven Engineering

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arxiv 2502.18828 v2 pith:2RJKSTAV submitted 2025-02-26 cs.SE cs.HC

classification cs.SEcs.HC
keywords accessibilityneedssenioradaptforgeaddressinterfacesusersaccessible
verification ladder T0 review T1 audit T2 compute T3 formal

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The use of diverse mobile applications among senior users is becoming increasingly widespread. However, many of these apps contain accessibility problems that result in negative user experiences for seniors. A key reason is that software practitioners often lack the time or resources to address the broad spectrum of age-related accessibility and personalisation needs. As current developer tools and practices encourage one-size-fits-all interfaces with limited potential to address the diversity of senior needs, there is a growing demand for approaches that support the systematic creation of adaptive, accessible app experiences. To this end, we present AdaptForge, a novel model-driven engineering (MDE) approach that enables advanced design-time adaptations of mobile application interfaces and behaviours tailored to the accessibility needs of senior users. AdaptForge uses two domain-specific languages (DSLs) to address age-related accessibility needs. The first model defines users' context-of-use parameters, while the second defines conditional accessibility scenarios and corresponding UI adaptation rules. These rules are interpreted by an MDE workflow to transform an app's original source code into personalised instances. We also report evaluations with professional software developers and senior end-users, demonstrating the feasibility and practical utility of AdaptForge.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Developer Perceptions on Utilising Low-Code Approaches to Build Accessible and Adaptive Applications for Seniors

    cs.SE 2025-08 conditional novelty 5.0 of 10

    From 18 developer interviews based on a video demo, the authors identify practitioner expectations and recommendations for low-code tools that generate accessible and adaptive apps for older adults.

  2. Accessibility Recommendations for Designing Better Mobile Application User Interfaces for Seniors

    cs.SE 2025-04 conditional novelty 5.0 of 10

    A qualitative study with 38 seniors produced eight personas and a set of accessibility and personalisation recommendations for mobile app UIs, evaluated through adapted app prototypes.

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