动态制品：通过封装生成式规范的实时图层创作动态媒体
Live Artifacts: Authoring Dynamic Media via Live Layers Encapsulating Generative Specifications
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中文总结 AI 辅助
该研究定义了介于静态资源与交互式软件间的Live Artifacts，提出LiveCanvas创作系统，可让创作者通过视觉画布编排动态生成式制品，经评估能帮助用户从创作静态输出转向打造响应式生成式制品。
中文摘要 AI 辅助
我们将Live Artifacts（动态制品）定义为介于静态资源与交互式软件之间的一类持久生成式媒体。与会坍缩为静态文件的传统生成式输出不同，动态制品将自身的生成逻辑作为持久媒体属性保留，支持基于上下文的持续再生。时间、位置或实时数据会成为其生成式规范的一部分，触发跨模态的协同更新（例如同步适配文本、视觉与音频），同时保留构图、语义、身份及跨模态一致性。为便于对该媒体形式开展实验，我们提出LiveCanvas这一创作系统，它将视觉图层重新概念化为具备显式可变性与受限依赖关系的实时生成式规范。创作者可在视觉画布内编排动态行为、管理生成式持久性，而非通过编程实现，定义哪些内容保持稳定、哪些内容可变更，以及变更如何传播。我们通过一组响应式示例和针对六位专业人士的定性研究对动态制品进行评估，发现LiveCanvas推动了从创作静态输出到打造响应式生成式制品的转变，同时仍与熟悉的创作实践保持一致。
英文摘要
We frame Live Artifacts as a class of persistent generative media between static assets and interactive software. Unlike conventional generative outputs that collapse into static files, Live Artifacts retain their generative logic as a persistent media property, enabling continuous context-dependent regeneration. Time, location, or live data become part of their generative specifications, initiating coordinated updates across modalities (e.g., adapting text, visuals, and audio together) while preserving composition, semantics, identity, and cross-modal coherence. To facilitate experimentation with this medium, we present LiveCanvas, an authoring system that reconceptualizes visual layers as live generative specifications with explicit mutability and constrained dependencies. Creators orchestrate dynamic behaviors and manage generative persistence within a visual canvas rather than through programming, defining what remains stable, what can change, and how changes propagate. We evaluate Live Artifacts through a gallery of responsive examples and a qualitative study with six professionals, finding that LiveCanvas facilitates a shift from composing static outputs to crafting responsive generative artifacts while remaining aligned with familiar authoring practices.
