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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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  • An Autoethnographic Case Study of Generative Artificial Intelligence's Utility for Accessibility

    Kate S. Glazko, Momona Yamagami, Aashaka Desai, Kelly Avery Mack, Venkatesh Potluri, Xuhai Xu, Jennifer Mankoff · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '23)

    This paper presents an autoethnographic case study in which seven accessibility researchers—both with and without disabilities—explored generative artificial intelligence (GAI) tools over a three-month period to assess their potential for supporting accessibility needs. The team…

    generative AI · accessibility · autoethnography · assistive technology · disability

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