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The graphical user interface (GUI) is crucial for users to interact with mobile devices. However, accessibility issues in the GUI, such as undersized text and redundant information, lead to understanding and operating obstacles for billions of low vision users in our society. To alleviate this situation, academia and industry have proposed various accessibility-related methods. Still, their over-dependence on specific detection rules and their inability to automatically repair the GUI source code limit them in helping developers resolve these issues. In this paper, we propose a novel method, named AGAA, for capturing and repairing undersized text and redundant information issues in the GUI. The evaluation on 12 real-world apps and the user study on 36 low vision users demonstrate that AGAA is effective in resolving these issues and is useful in improving the mobile device experience for low vision users, respectively.
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Stored only when both papers are in the corpus — 1 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.