activity
20182021
most citedVis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

cs.HC2021

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…

cs.HC20211 cited

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…

cs.HC2020

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…

cs.HC2020

Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations

Enrico Bertini, Michael Correll, Steven Franconeri

A central concept in information visualization research and practice is the notion of visual variable effectiveness, or the perceptual precision at which values are decoded given v…

cs.HC2020

Surfacing Visualization Mirages

Andrew McNutt, Gordon Kindlmann, Michael Correll

Dirty data and deceptive design practices can undermine, invert, or invalidate the purported messages of charts and graphs. These failures can arise silently: a conclusion derived…

cs.HC2019

Truncating the Y-Axis: Threat or Menace?

Michael Correll, Enrico Bertini, Steven Franconeri

Bar charts with y-axes that don't begin at zero can visually exaggerate effect sizes. However, advice for whether or not to truncate the y-axis can be equivocal for other visualiza…