发表机构
The Hong Kong University of Science and Technology; University of Utah; University of Utah Salt Lake City USA（香港科学与技术大学; 犹他大学; 犹他大学盐湖城美国）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究针对生成内容属性控制问题，提出Spatula系统，基于技术探针沿四个维度探索属性控制空间，用户研究显示其交互直观便捷，支持多样参数控制，且即插即用设计可推广到其他领域。
AI 中文摘要
控制属性是实现最终创意成果的关键一步，但当前方法在支持用户对生成内容进行迭代优化方面存在不足。我们提出了Spatula，一个概念验证系统，它能为创建动态图形生成按需原位属性控制界面和交互。基于自动分析动画上下文并生成相应属性和用户界面的技术探针，我们将属性控制构建为一个可探索的景观，并沿发现性、分辨率、范围和可扩展性四个关键维度探索属性控制空间。用户研究（N = 12）结果表明，我们的系统提供了直观便捷的交互，同时支持对细粒度参数控制的多样化需求。此外，我们的应用表明即插即用设计可推广到其他领域，如网页设计和3D建模。
英文摘要
Controlling attributes is a critical step toward achieving the final creative outcome, yet current approaches fall short in supporting users in the iterative refinement of generative content. We propose Spatula, a proof-of-concept system that generates on-demand, in-situ attribute control interfaces and interactions for creating motion graphics. Building on a technical probe that automatically analyzes animation context and generates corresponding attributes and UI, we frame attribute control as an explorable landscape and explore the attribute control space along four key dimensions: Discoverability, Resolution, Scope, and Expandability. Findings from a user study (N=12) show that our system provides intuitive and convenient interactions while supporting diverse needs for fine-grained parameter control. Furthermore, our applications demonstrate that the plug-and-play design generalizes to other domains, such as web design and 3D modeling.
