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Online shopping has become a valuable modern convenience, but blind or lowvision (BLV) users still face significant challenges using it, because of: 1)inadequate image descriptions and 2) the inability to filter large amounts ofinformation using screen readers. To address those challenges, we proposeRevamp, a system that leverages customer reviews for interactive informationretrieval. Revamp is a browser integration that supports review-basedquestion-answering interactions on a reconstructed product page. From ourinterview, we identified four main aspects (color, logo, shape, and size) thatare vital for BLV users to understand the visual appearance of a product. Basedon the findings, we formulated syntactic rules to extract review snippets,which were used to generate image descriptions and responses to users' queries.Evaluations with eight BLV users showed that Revamp 1) provided usefuldescriptive information for understanding product appearance and 2) helped theparticipants locate key information efficiently.

Revamp: Enhancing Accessible Information Seeking Experience of Online Shopping for Blind or Low Vision Users