Wen Zhen, Zeng Wei, Weng Luoxuan, Liu Yihan, Xu Mingliang, Chen Wei
IEEE Trans Vis Comput Graph. 2023 Jan;29(1):440-450. doi: 10.1109/TVCG.2022.3209475. Epub 2022 Dec 16.
Multiple-view (MV) representations enabling multi-perspective exploration of large and complex data are often employed on 2D displays. The technique also shows great potential in addressing complex analytic tasks in immersive visualization. However, although useful, the design space of MV representations in immersive visualization lacks in deep exploration. In this paper, we propose a new perspective to this line of research, by examining the effects of view layout for MV representations on situated analytics. Specifically, we disentangle situated analytics in perspectives of situatedness regarding spatial relationship between visual representations and physical referents, and analytics regarding cross-view data analysis including filtering, refocusing, and connecting tasks. Through an in-depth analysis of existing layout paradigms, we summarize design trade-offs for achieving high situatedness and effective analytics simultaneously. We then distill a list of design requirements for a desired layout that balances situatedness and analytics, and develop a prototype system with an automatic layout adaptation method to fulfill the requirements. The method mainly includes a cylindrical paradigm for egocentric reference frame, and a force-directed method for proper view-view, view-user, and view-referent proximities and high view visibility. We conducted a formal user study that compares layouts by our method with linked and embedded layouts. Quantitative results show that participants finished filtering- and connecting-centered tasks significantly faster with our layouts, and user feedback confirms high usability of the prototype system.
能够对大型复杂数据进行多视角探索的多视图（MV）表示法通常用于二维显示器。该技术在沉浸式可视化中处理复杂分析任务方面也显示出巨大潜力。然而，尽管很有用，但沉浸式可视化中MV表示法的设计空间缺乏深入探索。在本文中，我们通过研究MV表示法的视图布局对情境分析的影响，为这一研究方向提出了一个新的视角。具体而言，我们从视觉表示与物理参照之间空间关系的情境性以及包括过滤、重新聚焦和连接任务在内的跨视图数据分析的分析性这两个角度来剖析情境分析。通过对现有布局范式的深入分析，我们总结了同时实现高情境性和有效分析的设计权衡。然后，我们提炼出一份平衡情境性和分析性的理想布局的设计要求清单，并开发了一个具有自动布局适配方法的原型系统来满足这些要求。该方法主要包括用于自我中心参照系的柱面范式，以及用于实现适当的视图-视图、视图-用户和视图-参照接近度以及高视图可见性的力导向方法。我们进行了一项正式的用户研究，将我们方法的布局与链接布局和嵌入式布局进行比较。定量结果表明，参与者使用我们的布局完成以过滤和连接为中心的任务的速度明显更快，用户反馈也证实了原型系统的高可用性。
