发表机构
Tufts University（塔夫茨大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文研究生成式AI如何使观看者的意义建构外化为衍生制品并累积影响后续观看者的感知与信任，提出理解长期影响是AI中介视觉传播的重要研究方向。
AI 中文摘要
生成式AI正在改变源人工制品到达受众后可能发生的事情。观看者的解读现在可以被外部化为衍生人工制品，使私人的意义建构成为后续交流的一部分。一旦这样的衍生人工制品流通起来，它就能进入后续观看者的信息环境，并塑造他们后续意义建构发生的条件。在本文中，我们考察了这一转变如何改变视觉信息交流。我们首先考虑观看者与源人工制品及生成式AI的直接互动。然后，我们考察当观看者的意义建构采取交流形式时，什么变得具有重要性，包括交流承诺、转换和源关系的可读性，以及解读已中介信息所需的素养。最后，我们将分析单元拓宽，考虑重复和分布式的AI中介如何随时间累积，塑造后续观看者注意什么、认为什么合理、信任什么，并将其带入后续的意义建构。我们认为，理解这些长期形式的影响是AI中介视觉传播的一个研究方向。
英文摘要
Generative AI is changing what can happen after a source artifact reaches its audience. A viewer's interpretation can now be externalized into a derivative artifact, allowing private sensemaking to become part of subsequent communication. Once such a derivative artifact circulates, it can enter subsequent viewers' information environments and shape the conditions under which their later sensemaking occurs. In this paper, we examine how this shift changes visual information communication. We first consider the viewer's immediate interaction with a source artifact and generative AI. We then examine what becomes consequential when the viewer's sensemaking takes communicative form, including communicative commitment, the legibility of transformations and source relationships, and the literacy required to interpret already-mediated information. Finally, we broaden the unit of analysis to consider how repeated and distributed AI mediation may accumulate over time, shaping what subsequent viewers notice, consider plausible, trust, and carry into subsequent sensemaking. We argue that understanding these longer-term forms of influence is a research direction for AI-mediated visual communication.
Comments5 pages, 3 figures. Accepted at the CSCW 2026 Workshop on Broader Impacts of GenAI in Communication
