Dynamic Composite Data Physicalization Using Wheeled Micro-Robots
Dynamic Composite Data Physicalization Using Wheeled Micro-Robots
复制标题
使用轮式微型机器人的动态复合数据物理化
DOI：
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发表时间：
2019
影响因子：
5.2
通讯作者：
Pierre Dragicevic
中科院分区：
文献类型：
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作者：
Mathieu Le Goc;Charles Perin;Sean Follmer;Jean;Pierre Dragicevic
本文介绍了动态复合物理化，这是一类新的物理可视化，它使用自推进对象的集合来表示数据。动态复合物理化既可用于为众所周知的交互式可视化技术提供物理形式，也可用于探索新的可视化和交互范式。我们首先在信息可视化和人机交互领域的先前工作的基础上提出了一个表征复合物理化的设计空间。我们在两个场景中演示了动态复合物理化，展示了协作和决策的潜在好处，以及物理交互的新机会。然后，我们描述了我们使用能够定位自己和感知用户输入的轮式微型机器人的实现，然后讨论了未来工作的局限性和机会。
This paper introduces dynamic composite physicalizations, a new class of physical visualizations that use collections of self-propelled objects to represent data. Dynamic composite physicalizations can be used both to give physical form to well-known interactive visualization techniques, and to explore new visualizations and interaction paradigms. We first propose a design space characterizing composite physicalizations based on previous work in the fields of Information Visualization and Human Computer Interaction. We illustrate dynamic composite physicalizations in two scenarios demonstrating potential benefits for collaboration and decision making, as well as new opportunities for physical interaction. We then describe our implementation using wheeled micro-robots capable of locating themselves and sensing user input, before discussing limitations and opportunities for future work.