MIRIA: A Mixed Reality Toolkit for the In-Situ Visualization and Analysis of Spatio-Temporal Interaction Data
MIRIA: A Mixed Reality Toolkit for the In-Situ Visualization and Analysis of Spatio-Temporal Interaction Data
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DOI：
10.1145/3411764.3445651
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
Wolfgang Büschel;Anke Lehmann;Raimund Dachselt
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文献类型：
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作者：
Wolfgang Büschel;Anke Lehmann;Raimund Dachselt
在本文中，我们提出了MIRIA，一个混合现实交互分析工具包，旨在支持在混合现实和多显示环境中的用户交互的现场视觉分析。到目前为止，在这种新颖的计算系统中，有效地探索和分析交互模式的选择很少。与MIRIA，我们解决了这一差距，支持分析用户的运动，空间交互，和事件数据的多个，共同位于用户直接在原始环境中。根据我们自己的经验和对现有方法中使用的典型数据、任务和可视化的分析，我们确定了我们系统的需求。我们报告的设计和原型实现的MIRIA，这是由这些要求通知，并提供各种可视化，如3D运动轨迹，位置热图和散点图。为了证明MIRIA在现实分析任务中的价值，我们使用几个具有真实研究数据的用例进行了专家反馈会议。
In this paper, we present MIRIA, a Mixed Reality Interaction Analysis toolkit designed to support the in-situ visual analysis of user interaction in mixed reality and multi-display environments. So far, there are few options to effectively explore and analyze interaction patterns in such novel computing systems. With MIRIA, we address this gap by supporting the analysis of user movement, spatial interaction, and event data by multiple, co-located users directly in the original environment. Based on our own experiences and an analysis of the typical data, tasks, and visualizations used in existing approaches, we identify requirements for our system. We report on the design and prototypical implementation of MIRIA, which is informed by these requirements and offers various visualizations such as 3D movement trajectories, position heatmaps, and scatterplots. To demonstrate the value of MIRIA for real-world analysis tasks, we conducted expert feedback sessions using several use cases with authentic study data.