Paper

{
  "raw_xml": "<entry>\n    <id>http://arxiv.org/abs/2603.23828v1</id>\n    <title>Bridging the Interpretation Gap in Accessibility Testing: Empathetic and Legal-Aware Bug Report Generation via Large Language Models</title>\n    <updated>2026-03-25T01:27:25Z</updated>\n    <link href='https://arxiv.org/abs/2603.23828v1' rel='alternate' type='text/html'/>\n    <link href='https://arxiv.org/pdf/2603.23828v1' rel='related' title='pdf' type='application/pdf'/>\n    <summary>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.</summary>\n    <category scheme='http://arxiv.org/schemas/atom' term='cs.SE'/>\n    <category scheme='http://arxiv.org/schemas/atom' term='cs.HC'/>\n    <published>2026-03-25T01:27:25Z</published>\n    <arxiv:primary_category term='cs.SE'/>\n    <author>\n      <name>Ryoya Koyama</name>\n    </author>\n    <author>\n      <name>Zhiyao Wang</name>\n    </author>\n    <author>\n      <name>Devi Karolita</name>\n    </author>\n    <author>\n      <name>Jialong Li</name>\n    </author>\n    <author>\n      <name>Kenji Tei</name>\n    </author>\n  </entry>"
}