视觉重建作为记忆协商：一种用于口述历史的迭代生成式AI介导框架
Visual Reconstruction as Memory Negotiation: An Iterative Generative AI-Mediated Framework for Oral History
AI总结：
该研究提出迭代AI辅助视觉重建框架，以生成式AI创建视觉探针辅助口述历史的记忆协商，通过五阶段工作流实现反思性公共历史参与与负责任记录。
AI中文摘要：
口述历史与社区记忆是历史探究的核心资源，但当被记忆的场景的空间与物质层面主要通过口头交流传播时，这些层面难以被外化和比较。本海报提出一种用于视觉重建与记忆协商的迭代AI辅助框架，该框架利用生成式AI并非用于验证记忆或生成确定的重建结果，而是创建临时的视觉“探针”以支持讨论、修订与比较。该框架基于口述历史与记忆研究，并结合数字人文对视觉权威的批判，工作流程分为五个阶段：(1) 叙事引出；(2) 生成式视觉原型制作；(3) 参与者主导的迭代修订（人在回路中）；(4) 多叙述者比较与协商；(5) 协商重建档案，其保存最终图像、中间迭代版本以及关于共识、不确定性与分歧的记录。一则小插曲通过两位老人回忆一栋已不复存在的建筑来展示该方法。本海报强调伦理与方法层面的约束，尤其是引人注目的图像会锚定解读的倾向，并将输出视为解读性 artifacts 而非证据。通过将协商痕迹与视觉输出一同归档，该方法支持在视觉档案稀缺的背景下开展反思性公共历史参与与负责任的记录工作。
英文摘要：
Oral history and community memory are core resources for historical inquiry, yet spatial and material aspects of remembered scenes can be difficult to externalize and compare when they circulate primarily through verbal exchange. This poster proposes an Iterative AI-Assisted Framework for Visual Reconstruction and Memory Negotiation that uses generative AI not to verify memory or produce definitive reconstructions but to create provisional visual 'probes' that support discussion, revision, and comparison. Grounded in oral history and memory studies and informed by digital humanities critiques of visual authority, the workflow proceeds in five stages: (1) narrative elicitation; (2) generative visual prototyping; (3) participant-led iterative revision (human-in-the-loop); (4) multi-narrator comparison and negotiation; and (5) a negotiated reconstruction archive that preserves final images, intermediate iterations, and records of agreement, uncertainty, and disagreement. A vignette illustrates the method through two elders recalling a no-longer-extant building. The poster highlights ethical and methodological constraints, especially the tendency of compelling images to anchor interpretation, and treats outputs as interpretive artifacts rather than evidence. By archiving negotiation traces alongside visual outputs, the approach supports reflexive public-history engagement and responsible documentation in contexts of visual archive scarcity.
