Show me the invisible

Geymayer, Thomas; Steinberger, Markus; Lex, Alexander; Streit, Marc; Schmalstieg, Dieter

doi:10.1145/2556288.2557032

Cited by 9 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Outline is another common technique found in brushing and linking [GSL*14, GGL*14]. Moreover, it is also a popular technique used in visual highlighting to show that an object is “selected” [DMT*18,SCZ*20].…”

Section: Experimental Prototype For Situated Brushing and Linkingmentioning

confidence: 99%

Visual Highlighting for Situated Brushing and Linking

Doerr,

Lee,

Baricova

et al. 2024

Computer Graphics Forum

View full text Add to dashboard Cite

Brushing and linking is widely used for visual analytics in desktop environments. However, using this approach to link many data items between situated (e.g., a virtual screen with data) and embedded views (e.g., highlighted objects in the physical environment) is largely unexplored. To this end, we study the effectiveness of visual highlighting techniques in helping users identify and link physical referents to brushed data marks in a situated scatterplot. In an exploratory virtual reality user study (N=20), we evaluated four highlighting techniques under different physical layouts and tasks. We discuss the effectiveness of these techniques, as well as implications for the design of brushing and linking operations in situated analytics.

show abstract

Section: Experimental Prototype For Situated Brushing and Linkingmentioning

confidence: 99%

Visual Highlighting for Situated Brushing and Linking

Doerr,

Lee,

Baricova

et al. 2024

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

Comparing Color and Leader Line Highlighting Strategies in Coordinated View Geovisualizations

Griffin¹,

Robinson

2015

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

In most coordinated view geovisualization tools, a transient visual effect is used to highlight observations across views when brushed with a mouse or other input device. Most current geovisualization and information visualization systems use colored outlines or fills to highlight observations, but there remain a wide range of alternative visual strategies that can also be implemented and compared to color highlighting to evaluate user performance. This paper describes the results of an experiment designed to compare user performance with two highlighting methods; color and leader lines. Our study methodology uses eye-tracking to capture participant eye fixations while they answer questions that require attention to highlighted observations in multiple views. Our results show that participants extract information as efficiently from coordinated view displays that use leader line highlighting to link information as they do from those that use a specific color to highlight items. We also found no significant differences when changing the color of the highlighting effect from red to black. We conclude that leader lines show significant potential for use as an alternative highlighting method in coordinated multiple view visualizations, allowing color to be reserved for representing thematic attributes of data.

show abstract

BiSet: Semantic Edge Bundling with Biclusters for Sensemaking

Sun

North

et al. 2016

IEEE Trans. Visual. Comput. Graphics

View full text Add to dashboard Cite

Identifying coordinated relationships is an important task in data analytics. For example, an intelligence analyst might want to discover three suspicious people who all visited the same four cities. Existing techniques that display individual relationships, such as between lists of entities, require repetitious manual selection and significant mental aggregation in cluttered visualizations to find coordinated relationships. In this paper, we present BiSet, a visual analytics technique to support interactive exploration of coordinated relationships. In BiSet, we model coordinated relationships as biclusters and algorithmically mine them from a dataset. Then, we visualize the biclusters in context as bundled edges between sets of related entities. Thus, bundles enable analysts to infer task-oriented semantic insights about potentially coordinated activities. We make bundles as first class objects and add a new layer, "in-between", to contain these bundle objects. Based on this, bundles serve to organize entities represented in lists and visually reveal their membership. Users can interact with edge bundles to organize related entities, and vice versa, for sensemaking purposes. With a usage scenario, we demonstrate how BiSet supports the exploration of coordinated relationships in text analytics.

show abstract

Show me the invisible

Cited by 9 publications

References 31 publications

Visual Highlighting for Situated Brushing and Linking

Visual Highlighting for Situated Brushing and Linking

Comparing Color and Leader Line Highlighting Strategies in Coordinated View Geovisualizations

BiSet: Semantic Edge Bundling with Biclusters for Sensemaking

Contact Info

Product

Resources

About