SleuthTalk：为集体意义建构与审议提供私人工作空间以支持历史照片识别
SleuthTalk: Supporting Historical Photo Identification with Private Workspaces for Collective Sensemaking and Deliberation
AI总结：
SleuthTalk是集成于Civil War Photo Sleuth的私人协作工作空间，为历史照片识别提供结构化对比、讨论与群体决策支持，经评估可提升研究者信心、呈现多元视角并支持透明审慎的识别。
AI中文摘要：
识别历史照片中的人物是历史、新闻、家谱和档案研究等领域的关键任务。基于AI的面部识别虽能高效生成候选匹配结果，但常产生模糊结果，需深入分析与情境解读。现有平台缺乏对协作审议的有力支持，尤其在不确定或高风险案例中。我们提出SleuthTalk，这是一个集成于Civil War Photo Sleuth的私人协作工作空间，旨在支持结构化对比、讨论与群体决策。SleuthTalk允许用户整理自定义候选短名单、标注面部特征，并通过结构化反馈达成共识。在与经验丰富的历史照片研究者开展的混合方法评估中，SleuthTalk提升了自我报告的信心，呈现了多元视角，并支持透明、审慎的识别工作。
英文摘要：
Identifying individuals in historical photographs is a critical task across fields such as history, journalism, genealogy, and archival research. While AI-based facial recognition can efficiently generate candidate matches, it often produces ambiguous results that require deeper analysis and contextual interpretation. Existing platforms lack robust support for collaborative deliberation, especially in uncertain or high-stakes cases. We present SleuthTalk, a private collaborative workspace integrated into Civil War Photo Sleuth, designed to scaffold structured comparison, discussion, and group decision-making. SleuthTalk enables users to curate custom shortlists, annotate facial features, and build consensus through structured feedback. In a mixed-methods evaluation with experienced historical photo researchers, SleuthTalk enhanced self-reported confidence, surfaced diverse perspectives, and supported transparent, reflective identifications.
