同样的数据,不同的受众:使用人来覆盖超级计算机工作队列可视化
IEEE transactions on visualization and computer graphics
|February 18, 2026
概括
Guidepost 是一款新的笔记本嵌入式可视化工具,旨在支持各种用户群体. 这种方法平衡了广泛的实用性与特定任务支持,提高了整体数据分析的有效性.
科学领域:
- 数据可视化 数据可视化
- 人与计算机的交互
- 科学计算科学计算
背景情况:
- 域特定的可视化通常将实用性限制在单个用户组.
- 针对多个用户群体进行设计,为更广泛的应用带来了挑战和机会.
- 平衡范围和特异性是提高可视化实用性的关键.
研究的目的:
- 开发和评估Guidepost,一个多功能笔记本嵌入式可视化.
- 支持科学家,机器学习研究人员和系统维护人员的各种任务.
- 探索在可视化设计中使用人物来对任务进行分类.
主要方法:
- 开发了Guidepost,这是一个集成在笔记本电脑环境中的可视化.
- 根据个人设计进行调整,以根据利益相关者的独特性对任务进行分类.
- 用于共享任务的交互式可视化和用于独特任务的脚本.
- 通过真实世界的案例研究和用户评估评估Guidepost.
主要成果:
- Guidepost有效地支持科学家 (计算等待时间),机器学习研究人员 (预测准确性) 和系统维护人员 (使用趋势) 的不同任务.
- 可视化的视觉编码,交互和导出功能满足各种用户需求.
- 基于人格的任务分类指导了多组支持的设计.
结论:
- Guidepost 展示了统一的可视化方法对各种数据分析需求的价值.
- 将交互式可视化与脚本集成为复杂的数据任务提供灵活的解决方案.
- 以人为导向的设计对于创建服务于多个利益相关者群体的可视化是有效的.
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