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The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • Towards Testing the Accessibility of Dynamic Visual Changes in Android Mobile GUI with Multi-Modal LLMs

    Mengxi Zhang, Jianlin Yu, Chen Xu, Jiqun Li, Xinglong Yin, Huaxiao Liu · 2026 · ACM Transactions on Computer-Human Interaction

    This paper addresses a long-standing gap in mobile accessibility testing: dynamic visual changes in Android GUIs that communicate task status or feedback to sighted users but are invisible to blind users of screen readers such as TalkBack. Examples include an input field…

    Android · mobile accessibility · screen readers · TalkBack · automated testing

  • Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users

    Farnaz Zamiri Zeraati, Yang Cao, Yuehan Qiao, Hal Daumé III, Hernisa Kacorri · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    This CHI 2026 paper investigates how blind users can exert control over responses generated by conversational visual question answering (VQA) systems built on vision-language models. While prompting and steering techniques are well established in general-purpose generative AI,…

    blind users · generative AI · visual question answering · VQA · personalization

  • Interface Support for Evaluating Disability Bias in AI-Generated Images

    Kelly Avery Mack, Lucy Jiang, Lotus Zhang, Leah Findlater · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    Mack and colleagues investigate whether interface-level interventions can help users of generative text-to-image (T2I) tools recognise and avoid disability stereotypes in AI-generated images. The authors frame the work around a gap in AI safety: while model-side debiasing is an…

    AI bias · generative AI · text-to-image · disability representation · disability stereotypes

  • Making Charts Speak: LLM-Based Conversational Chart Question Answering for Blind and Low-Vision Users

    Amit Kumar Das, Mohammad Tarun, Klaus Mueller · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

    Das, Tarun, and Mueller present GraphWhisper, a conversational system that lets blind and low-vision (BLV) users explore chart images (JPEG, PNG) through natural-language questions, without requiring the chart data to be pre-structured in formats like Vega-Lite. The authors…

    chart accessibility · data visualization · blind and low vision · large language models · conversational interface

4 results.