Effects of View Layout on Situated Analytics for Multiple-View Representations in Immersive Visualization

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.

1 Introduction

There are many opportunities for data visualization beyond the traditional desktop [44]. Among the future directions, situated analytics makes use of engaging, embodied analysis tools to support data understanding and decision making [19], [20]. Recent advancement of interaction and immersive display technologies for augmented reality (AR) has increased the popularity of situated analytics in a variety of applications, such as sports [11], [33], digital twins [38], [57], and field-work [53]. Studies show that augmenting the scene with immersive visualization can bring in many benefits, such as situated analytics, embodied data exploration and increased engagement.