2 citations · 4 across the 5 of their papers we have counts for
10 papers · 1 filter
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health
Calvin Bao, Siyao Li, Sarah Flores +2
The promise of visualization recommendation systems is that analysts will be automatically provided with relevant and high-quality visualizations that will reduce the work of manua…
Illegible Semantics: Exploring the Design Space of Metal Logos
Gerrit J. Rijken, Rene Cutura, Frank Heyen +4
The logos of metal bands can be by turns gaudy, uncouth, or nearly illegible. Yet, these logos work: they communicate sophisticated notions of genre and emotional affect. In this p…
Untidy Data: The Unreasonable Effectiveness of Tables
Lyn Bartram, Michael Correll, Melanie Tory
Working with data in table form is usually considered a preparatory and tedious step in the sensemaking pipeline; a way of getting the data ready for more sophisticated visualizati…
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics
Anamaria Crisan, Michael Correll
Topic models are widely used analysis techniques for clustering documents and surfacing thematic elements of text corpora. These models remain challenging to optimize and often req…
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations
Rachael Zehrung, Astha Singhal, Michael Correll +1
More visualization systems are simplifying the data analysis process by automatically suggesting relevant visualizations. However, little work has been done to understand if users…
What Do We Actually Learn from Evaluations in the "Heroic Era" of Visualization?
Michael Correll
We often point to the relative increase in the amount and sophistication of evaluations of visualization systems versus the earliest days of the field as evidence that we are matur…