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Re-finding information is an essential activity, however, it can be difficultwhen people struggle to express what they are looking for. Through aneed-finding survey, we first seek opportunities for improving re-findingexperiences, and explore one of these opportunities by implementing theFoundWright system. The system leverages recent advances in languagetransformer models to expand people's ability to express what they are lookingfor, through the interactive creation and manipulation of concepts containedwithin documents. We use FoundWright as a design probe to understand (1) howpeople create and use concepts, (2) how this expanded ability helps re-finding,and (3) how people engage and collaborate with FoundWright's machine learningsupport. Our probe reveals that this expanded way of expressing re-findinggoals helps people with the task, by complementing traditional searching andbrowsing. Finally, we present insights and recommendations for future workaiming at developing systems to support re-finding.

FoundWright: A System to Help People Re-find Pages from Their Web-history