Large Displays and Visualization

Large Displays and Visualization

Much of my research deals with visualizations on large displays. With large displays, it is possible to show one large visualization, or alternatively, many smaller visualization views. The figure illustrates the option of showing many smaller visualization views. I see this choice as principal, and as the most important consideration to keep in mind, when designing visualizations for large displays.

Displaying one large visualization gives room to subdivide the space into what we can consider as separate views. This option enables the designer to use spatial encoding to communicate the relations between individual views.

Displaying many smaller visualization views, designers can let users arrange these to make sense of data. This option leaves the task of communicating views’ relations to the designer, primarily using alternatives to spatial encoding.

Clearly, while these two options delimit the potential extremes of visualization views’ size, it is also possible to use them in combination. For example, by showing small views as overlays on top of a large visualization that fills an entire display.

In my work, I study both of these options. However, my focus has mainly been on using many small visualization views. This changes the manifestation of abundant display space. Here, abundant display space turns view-considerations into metaview considerations (i.e., considerations about or beyond the view), and changes the focus to letting users create new visualizations effectively and showing meta-visualizations of their relations.

PADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System

Søren Knudsen, Kasper Hornbæk. PADE: Supporting Collaborative Visual Analysis of Patient Administrative Systems Data with a Large Touch Display System. In Proceedings of the 10th workshop on Visual Analytics in HealthcareVisual Analytics in Healthcare (In conjunction with IEEE VIS 2019, October 20th, Vancouver, BC, Canada) (VAHC2019). 2019. IEEE.

Project Paper

Data Science Work Practices from a Ubiquitous Analytics Perspective

Søren Knudsen, Sheelagh Carpendale. Data Science Work Practices from a Ubiquitous Analytics Perspective. (ACM CHI Workshop on Human-Centered Study of Data Science Work Practices). 2019.

Project Paper

The Visualization View as a Toolbox

Søren Knudsen, Sheelagh Carpendale. The Visualization View as a Toolbox. In ACM CHI 2018 Workshop on Rethinking Interaction (ACM CHI). 2018. 2018.

Project Paper

Objective Meaning: Presentation Mediation in an Interactive Installation

Sarah Storteboom, Alice Thudt, Søren Knudsen, Sheelagh Carpendale. Objective Meaning: Presentation Mediation in an Interactive Installation. In Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces (ISS). 2017. ACM. New York, NY, USA. Pages 360-365. http://dx.doi.org/10.1145/3132272.3135079

Project Paper

Multiple Views in Immersive Analytics

Søren Knudsen, Sheelagh Carpendale. Multiple Views in Immersive Analytics. In Proceedings of IEEEVIS 2017 Immersive Analytics (IEEEVIS). 2017. 2017.

Project Paper