Devi Karolita | Searcharxiv

arXiv2026

Bridging the Interpretation Gap in Accessibility Testing: Empathetic and Legal-Aware Bug Report Generation via Large Language Models

Modern automated accessibility testing tools for mobile applications have significantly improved the detection of interface violations, yet their impact on remediation remains limited. A key reason is that existing tools typically produce low-level, technical outputs that are difficult for non-specialist stakeholders, such as product managers and designers, to interpret in terms of real user harm and compliance risk. In this paper, we present \textsc{HEAR} (\underline{H}uman-c\underline{E}ntered \underline{A}ccessibility \underline{R}eporting), a framework that bridges this interpretation gap by transforming raw accessibility bug reports into empathetic, stakeholder-oriented narratives. Given the outputs of the existing accessibility testing tool, \textsc{HEAR} first reconstructs the UI context through semantic slicing and visual grounding, then dynamically injects disability-oriented personas matched to each violation type, and finally performs multi-layer reasoning to explain the physical barrier, functional blockage, and relevant legal or compliance concerns. We evaluate the framework on real-world accessibility issues collected from four popular Android applications and conduct a user study (N=12). The results show that \textsc{HEAR} generates factually grounded reports and substantially improves perceived empathy, urgency, persuasiveness, and awareness of legal risk compared with raw technical logs, while imposing little additional cognitive burden.

cs.SE↗

arXiv2025

ChroniUXMag: A Persona-Driven Framework for Inclusive mHealth Requirements Engineering

Mobile health (mHealth) applications are increasingly adopted for chronic disease management, yet they face persistent challenges related to accessibility, inclusivity, and sustained engagement. Patients' needs evolve dynamically with their health progression, adherence, and caregiver support, creating unique requirements engineering (RE) challenges that traditional approaches often overlook. This study introduces ChroniUXMag, a framework for eliciting and analysing inclusivity requirements in mHealth design. Building on InclusiveMag and GenderMag principles, the framework aims to help researchers and practitioners systematically capture and evaluate factors that influence how individuals with chronic conditions perceive, trust, and interact with mHealth systems. The framework was developed through two stages of the InclusiveMag process. In the first stage, inclusivity facets were identified through a systematic literature review, focus groups, interviews, and a large-scale survey. In the second stage, these facets were synthesised into personas representing diverse health situations, attitudes, and digital practices, and integrated into an adapted cognitive walkthrough form. Thirteen facets were identified that capture the socio-technical complexity of mHealth use, including trust, digital literacy, dependency, and cultural context. These facets support structured, persona-driven evaluations that reveal inclusivity barriers often missed by traditional usability assessments. ChroniUXMag contributes to RE by offering a reproducible, evidence-based approach for embedding inclusivity into mHealth requirements. Future work will extend the third stage Apply through practitioner-led evaluation in real-world design contexts.

cs.SE↗