Multiple Coordinated Views at Large Displays for Multiple Users: Empirical Findings on User Behavior, Movements, and Distances

Abstract

Interactive wall-sized displays benefit data visualization. Due to their sheer display size, they make it possible to show large amounts of data in multiple coordinated views (MCV) and facilitate collaborative data analysis. In this work, we propose a set of important design considerations and contribute a fundamental input vocabulary and interaction mapping for MCV functionality. We also developed a fully functional application with more than 45 coordinated views visualizing a real-world, multivariate data set of crime activities, which we used in a comprehensive qualitative user study investigating how pairs of users behave. Most importantly, we found that flexible movement is essential and-depending on user goals-is connected to collaboration, perception, and interaction. Therefore, we argue that for future systems interaction from the distance is required and needs good support. We show that our consistent design for both direct touch at the large display and distant interaction using mobile phones enables the seamless exploration of large-scale MCV at wall-sized displays. Our MCV application builds on design aspects such as simplicity, flexibility, and visual consistency and, therefore, supports realistic workflows. We believe that in the future, many visual data analysis scenarios will benefit from wall-sized displays presenting numerous coordinated visualizations, for which our findings provide a valuable foundation.

Personal Augmented Reality for Information Visualization on Large Interactive Displays

“…Possible interaction modalities for information visualization beyond the traditional desktop setup have been proposed [56,75], with touch interaction being the most common one. Data analysis benefits from touch input due to a more direct interaction with the data [20,38,43,49,51,68], although some use cases profit from more distant interaction [49][50][51]. The increased screen estate of the displays can be used for showing large amounts of data, such as node-link diagrams [50,68], or to incorporate multiple views of data [51,55].…”

“…Interactive information visualization on large or wall-sized displays has been shown to have great potential for data analysis [3,38,51]. Due to their size, they can visualize large amounts of data or several visualizations at once which are often linked to each other.…”

“…However, working in front of large displays also leads to awareness and perception issues regarding the peripheral areas of the display [4,14]. This results in users having to step back from the display to gain an overview of the data [4,51] which in turn means that details within specific visualizations are no longer perceivable. While multiple coordinated visualizations are a valuable technique for analyzing multivariate data sets, they still require extensible context switches.…”

Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research Publications

“…We acknowledge the huge amount of well-cited research that has been achieved in the area of multiple views. Twenty five papers from the conference on Coordinated and Multiple Views conferences (2003 to 2007), rules and principles for the use of multiple views [24], state of the art in Coordinated Multiple Views (CMV) [20], juxtaposition, superposition and explicit designs for multiple view sys-tems [8,9], keeping multiple views consistent [17], coordinating multiple views across large displays devices [12], and the many systems that create and use multiple coordinated views (e.g., ComVis [13], Snap-together [15], Waltz [19], Improvise [27], Jigsaw [22]), and the recent published work on the phraseology of multiple-views [21]. We acknowledge the huge quantity of research in the area of coordinated multiple view systems; where user interaction in one view is linked to another view (such as linked highlighting).…”

eSTIMe: Towards an All-in-One Geovisualization Environment for Daily Mobility Analysis

“…Nonetheless, this requires new interaction techniques, since using the traditional mouse might be neither possible nor efficient. Langner et al [24] and Kister et al [25] propose sets of interaction techniques for large displays using mobile devices. Pahud et al [26] use the mobile device as a sort of portal through which the user can explore, interact, and annotate n-dimensional data visualizations.…”