Identifying people in photographs is an important task in many fields, including history, journalism, genealogy, and collecting, but accurate person identification remains challenging. Researchers especially struggle with the "last-mile proble" of historical person identification, where they must make a selection among a small number of highly similar candidates. We present SleuthTalk, a webbased collaboration tool integrated into the public website Civil War Photo Sleuth which addresses the last-mile problem in historical person identification by providing support for shortlisting potential candidates from face recognition results, private collaborative workspaces, and structured feedback.
CCS CONCEPTS• Human-centered computing → Collaborative and social computing systems and tools; • Applied computing → Arts and humanities; • Computing methodologies → Biometrics.
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