AI 中文总结
TailVis旨在解决现有可视化工具在图表细化时数据绑定易被破坏的问题，通过扩展参考模型，支持元素级选择、自然语言输入与GUI小部件结合及出处历史记录，实现富有表现力的视觉定制且保留数据绑定完整性，减少手动流程。
AI 中文摘要
为演示文稿和出版物创建静态可视化需要对视觉细节进行精细细化，即使是简单图表。现有数据驱动的可视化工具在这种细化方面的交互式控制有限，会破坏数据与视觉表示之间的关键链接。为此，我们提出扩展的信息可视化参考模型以考虑渲染后设计细化。通过对18位可视化从业者的形成性研究及35位受访者的后续调查证实该阶段普遍存在但当前实践中无支持。基于此，我们展示了TailVis，一个能在保留数据绑定完整性的同时实现富有表现力的视觉定制的可视化创作系统。它支持元素级直接选择和范围扩展，将自然语言输入与动态生成的GUI小部件相结合，还实现了出处历史以支持对设计替代方案的严格探索和比较。对12名参与者的用户研究验证了TailVis能有效支持富有表现力的精细细化而不牺牲数据绑定，显著减少集成环境中的重复手动流程。
英文摘要
Creating static visualizations for presentations and publications requires granular refinements of visual details, even for simple charts. Existing data-driven visualization tools offer limited interactive control for such refinements, forcing users to export charts to external graphic editors and breaking the critical link between data and visual representation. To address this gap, we propose an extended InfoVis Reference Model to account for post-render design refinement. A formative study with 18 visualization practitioners and a follow-up survey of 35 respondents confirmed that this stage is pervasive yet unsupported in current practice. Based on these findings, we present TailVis, a visualization authoring system that enables expressive visual customization while preserving data-binding integrity. TailVis supports element-level direct selection and scope expansion, allowing users to define a data-aware scope ranging from a single mark to a data-driven category with a simple selection. For modifications beyond predefined controls, TailVis blends natural language input with dynamically generated GUI widgets, where deictic interaction lets users reference elements simply by clicking them, keeping even open-ended edits bound to the data. To support rigorous exploration and comparison of design alternatives, TailVis implements a provenance history that enables users to capture diverse design iterations while ensuring data-visual integrity. A user study with 12 participants verified that TailVis effectively supports expressive, granular refinement without sacrificing data binding, significantly reducing repetitive manual processes in an integrated environment.
Comments11 pages, 8 figures, 1 table
