MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production
- ID: 0919c8c5
- 原文链接: https://arxiv.org/abs/2609.10385
- PDF: https://arxiv.org/pdf/2609.10385v1
- 作者: Shih-Yu Lai, Wen-Fan Wang, Sai Ling, Shaune Jan, Bing-Yu Chen, Xiang Anthony Chen
- 日期: 2026-09-09
- 更新: 2026-09-09
- 分类: cs.HC, cs.AI, cs.GR, cs.MA
- 来源类型: paper
- 标签: human-ai-collaboration, creative-tools, workflow, animation-vfx, field-note
- 质量评分: 4/5
- 抓取时间: 2026-09-11T12:23:09+00:00
中文导读
动画/VFX 前期评审的真实痛点：把松散的创作意图（简报演进中的规范异构参考口头决定）转成初级艺术家不用反复确认就能执行的修改实践中标准逐轮漂移评审判断丢失证据基础请求背后的推理很少能活过资深-初级交接 MOONWALK 提出 intent-evidence-action 对齐框架：意图固化为共享项目记录判断锚定到有据证据授权决定转成直接挂参考笔记的修改任务 分工设计值得注意：AI 只做行政协调（标记缺失上下文整理笔记），创作方向完全留在艺术家手里 工作室实证：与纯聊天界面比，意图对齐决策可追溯清单可执行性更强；同时确认审美权威与最终优先级必须留在从业者手里
为什么值得关注
动画/VFX 前期评审的结构化工作流：意图固化成共享记录判断锚定证据AI 只做行政协调不碰创作方向；实测比纯聊天界面对齐更强决策可追溯
条目锚定 arXiv 2609.10385（2026-09-09 提交，分类 cs.HC, cs.AI, cs.GR, cs.MA），摘要自述贡献为上述机制与结论；详细信息以论文原文为准。
关键信息
- 论文标题: MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production
- 作者: Shih-Yu Lai, Wen-Fan Wang, Sai Ling, Shaune Jan, Bing-Yu Chen, Xiang Anthony Chen
- arXiv: https://arxiv.org/abs/2609.10385
- 发布时间: 2026-09-09
- arXiv 分类: cs.HC, cs.AI, cs.GR, cs.MA
- 关联标签: human-ai-collaboration, creative-tools, workflow, animation-vfx, field-note
English Abstract
Animation and VFX pre-production review requires teams to translate loosely specified creative intent--briefs, evolving specifications, heterogeneous references, and verbal decisions--into revisions that junior artists can execute without repeated clarification. In practice, criteria drift across iterations, review judgments lose their evidential basis, and the reasoning behind a request rarely survives the senior-junior handoff. We contribute a design framework for intent-evidence-action alignment: intent is articulated into a shared project record, judgments are anchored to grounded evidence, and authorized decisions are converted into clear revision tasks tied directly to reference notes. We instantiate this framework in MOONWALK, a professional pre-production review system comprising a shared intent record, reference/specification anchoring, structured work-in-progress comparison, and supervisor-authorized action planning. In this workflow, AI handles administrative coordination--flagging missing context and organizing notes--while artists retain full creative direction. An in-studio study with professional practitioners compares MOONWALK with a chat-only (chatbot) interface using matched production materials, while participants' existing workflows provide a retrospective ecological baseline. Results indicate stronger intent alignment, decision traceability, and checklist executability, while also showing that aesthetic authority and final prioritization must remain with practitioners. The evaluation establishes the value of the integrated structured workflow over unstructured conversational AI chatbot. Code: https://github.com/Akinesia112/Moonwalk/tree/english-version
English Summary
MOONWALK contributes a design framework for intent-evidence-action alignment in animation/VFX pre-production review: intent is articulated into a shared project record, judgments are anchored to grounded evidence, and authorized decisions become revision tasks tied to reference notes. AI handles administrative coordination (flagging missing context, organizing notes) while artists retain full creative direction. An in-studio study with professional practitioners shows stronger intent alignment, decision traceability, and checklist executability versus a chat-only interface, while confirming that aesthetic authority and final prioritization must remain with practitioners.
Obsidian Notes
- 内容由
opencli arxiv paper拉取 arXiv 元数据与摘要生成。 - 中文导读与价值判断均锚定在条目已有摘要、论文摘要、作者、日期与分类信息上；未补充论文摘要之外的实验细节。