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Michael Correll

About

I am a research scientist with a background in visualization. My focus areas are statistical communication, graphical perception, and text analytics. I am interested in how visualizations can be used to persuade, and how to make audiences mindful of biases and uncertainty in their data. I am also active in the digital humanities community, where I look at how we can create visualizations of text data that allow complex statistical modeling but are also easy to explain to audiences without backgrounds in statistics.  Prior to Tableau, I was a post-doctoral researcher at the University of Washington, where I worked with Jeffrey Heer investigating how well people can estimate aggregate statistics from visualizations. I received my PhD. In Computer Sciences from the University of Wisconsin-Madison, advised by Michael Gleicher. My thesis work was on creating and evaluating visualizations for presenting statistical information to wider audiences. As part of that work, I developed custom visualizations tools for users in a wide range of fields, such as genomics and literary criticism. You can find more details about work on my personal website.

Focus

  • Statistical Graphics
  • Graphical Perception
  • Visualization
  • Digital Humanities

Papers

Are We Making Progress in Visualization Research?

Michael Correll
BELIV (Evaluation and Beyond - Methodological Approaches for Visualization) 2022 (to appear)
PDF

OSCAR: A Semantic-based Data Binning Approach

Vidya Setlur, Michael Correll, Sarah Battersby
IEEE VIS 2022 (Oklahoma City, OK, USA, October 16-21)
PDF

Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health

Calvin Bao, Siyao Li, Sarah Flores, Michael Correll, Leilani Battle
CHI 2022, April 30–May 6, 2022, New Orleans
PDF

Untidy Data: The Unreasonable Effectiveness of Tables

Lyn Bartram, Michael Correll, Melanie Tory
IEEE VIS 2021
PDF

Illegible Semantics: Exploring the Design Space of Metal Logos

Gerrit J. Rijken, Rene Cutura, Frank Heyen, Michael Sedlmair, Michael Correll, Jason Dykes, Noeska Smit
IEEE VIS 2021 alt.VIS workshop (to appear)
PDF

Towards a Theory of Bullshit Visualization

Michael Correll
IEEE VIS 2021 alt.VIS workshop (to appear)
PDF

Data-Driven Mark Orientation for Trend Estimation in Scatterplots

Tingting Liu, Xiaotong Li, Chen Bao, Michael Correll, Changhe Tu, Oliver Deussen, Yunhai Wang
CHI 2021, May 8–13, 2020, Yokohama
PDF

User Ex Machina: Simulation as a Design Probe in Human-in-the-Loop Text Analytics

Anamaria Crisan, Michael Correll
CHI 2021, May 8–13, 2020, Yokohama
PDF

Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations

Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle
CHI 2021, May 8–13, 2020, Yokohama
PDF

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

Enrico Bertini, Michael Correll, Steven Franconeri
IEEE Vis - Oct 25-30, 2020 (to appear)
PDF

What Do We Actually Learn from Evaluations in the “Heroic Era” of Visualization?

Michael Correll
BELIV (Evaluation and Beyond - Methodological Approaches for Visualization) 2020
PDF

VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors

Aspen K Hopkins, Michael Correll, Arvind Satyanarayan
EuroVis 2020, May 25-29, 2020, Norrköping, Sweden
PDF

Surfacing Visualization Mirages

Andrew McNutt, Gordon Kindlmann, Michael Correll
CHI 2020, April 25–30, 2020, Honolulu, HI
PDF

Truncating the Y-Axis: Threat or Menace?

Michael Correll, Enrico Bertini, Steven Franconeri
CHI 2020, April 25–30, 2020, Honolulu, HI
PDF

Divining Insights: Visual Analytics Through Cartomancy

Andrew McNutt, Anamaria Crisan, Michael Correll
altCHI 2020, April 25–30, 2020, Honolulu, HI
PDF

Improving the Robustness of Scagnostics

Yunhai Wang, Zeyu Wang, Tingting Liu, Michael Correll, Zanglin Cheng, Oliver Deussen, Michael Sedlmair
IEEE InfoVis 2019 (Vancouver, Oct 20-25, 2019)
PDF

Designing Animated Transitions to Convey Aggregate Operations

Younghoon Kim, Michael Correll, Jeffrey Heer
EuroVis 2019, June 3–7, 2019, Porto, Portugal
PDF

Ethical Dimensions of Visualization Research

Michael Correll
CHI 2019, May 4–9, 2019, Glasgow, UK
PDF

What Do We Talk About When We Talk About Dashboards?

Alper Sarikaya, Michael Correll, Lyn Bartram, Melanie Tory, Danyel Fisher
IEEE InfoVis 2018 (Berlin, Oct 21-26, 2018)
PDF

Looks Good To Me: Visualizations As Sanity Checks

Michael Correll, Mingwei Li, Gordon Kindlmann, Carlos Scheidegger
IEEE InfoVis 2018 (Berlin, Oct 21-26, 2018)
PDF

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation

Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay
IEEE InfoVis 2018 (Berlin, Oct 21-26, 2018)
PDF

Value-Suppressing Uncertainty Palettes

Michael Correll, Dominik Moritz, Jeffrey Heer
CHI 2018, April 21–26, 2018, Montreal, QC, Canada
PDF

Ross-Chernoff Glyphs Or: How Do We Kill Bad Ideas in Visualization?

Michael Correll
altCHI 2018, April 21–26, 2018, Montreal, QC, Canada
PDF
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