Connecting Human-Robot Interaction and Data Visualization
Connecting Human-Robot Interaction and Data Visualization
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DOI：
10.1145/3434073.3444683
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
D. Szafir;D. Szafir
中科院分区：
文献类型：
--
作者：
D. Szafir;D. Szafir
人机交互 (HRI) 研究经常探索如何设计界面，使人类能够有效地远程操作和监督机器人。此类系统的主要目标之一是支持数据收集、分析和人类决策，这需要以支持人类快速、准确分析的方式表示机器人数据。然而，这些系统的界面并不总是使用最佳实践原则来有效地可视化数据。我们提出了一个关于机器人界面设计的支架推理新框架，强调需要考虑数据可视化来支持分析和决策过程，详细介绍了与 HRI 相关的几种数据可视化最佳实践，确定了 HRI 中常见的一组核心数据任务，并强调了在这两个研究领域交叉点进一步协同活动的几个有希望的机会。机器人外部接口； • 以人为本的计算$\rightarrow$可视化；图形用户界面。
Human-robot interaction (HRI) research frequently explores how to design interfaces that enable humans to effectively teleoperate and supervise robots. One of the principle goals of such systems is to support data collection, analysis, and human decision making, which requires representing robot data in ways that support fast and accurate analyses by humans. However, the interfaces for these systems do not always use best-practice principles for effectively visualizing data. We present a new framework to scaffold reasoning about robot interface design that emphasizes the need to consider data visualization for supporting analysis and decision-making processes, detail several data visualization best practices relevant to HRI, identify a set of core data tasks that commonly occur in HRI, and highlight several promising opportunities for further synergistic activities at the intersection of these two research areas.CCS CONCEPTS• Computer systems organization $\rightarrow$Robotics; External interfaces for robotics; • Human-centered computing $\rightarrow$Visualization; Graphical user interfaces.