Michael Correll

Orcid: 0000-0001-7902-3907

According to our database1, Michael Correll authored at least 45 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Heuristics for Supporting Cooperative Dashboard Design.
IEEE Trans. Vis. Comput. Graph., January, 2024

When the Body Became Data: Historical Data Cultures and Anatomical Illustration.
CoRR, 2024

2023
Fitting Bell Curves to Data Distributions Using Visualization.
IEEE Trans. Vis. Comput. Graph., December, 2023

<i>Teru Teru Bōzu</i>: Defensive Raincloud Plots.
Comput. Graph. Forum, June, 2023

Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public.
CoRR, 2023

Teru Teru Bōzu: Defensive Raincloud Plots.
CoRR, 2023

Troubling Collaboration: Matters of Care for Visualization Design Study.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Untidy Data: The Unreasonable Effectiveness of Tables.
IEEE Trans. Vis. Comput. Graph., 2022

Are We Making Progress In Visualization Research?
CoRR, 2022

Oscar: A Semantic-based Data Binning Approach.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Position Paper: Are We Making Progress In Visualization Research?
Proceedings of the IEEE Evaluation and Beyond, 2022

2021
Towards a Theory of Bullshit Visualization.
CoRR, 2021

Illegible Semantics: Exploring the Design Space of Metal Logos.
CoRR, 2021

Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Data-Driven Mark Orientation for Trend Estimation in Scatterplots.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Improving the Robustness of Scagnostics.
IEEE Trans. Vis. Comput. Graph., 2020

What Do We Actually Learn from Evaluations in the "Heroic Era" of Visualization?
CoRR, 2020

VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors.
Comput. Graph. Forum, 2020

Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations.
Proceedings of the 31st IEEE Visualization Conference, 2020

Surfacing Visualization Mirages.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Divining Insights: Visual Analytics Through Cartomancy.
Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Truncating the Y-Axis: Threat or Menace?
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

What Do We Actually Learn from Evaluations in the "Heroic Era" of Visualization? : Position Paper.
Proceedings of the IEEE Workshop on Evaluation and Beyond, 2020

2019
What Do We Talk About When We Talk About Dashboards?
IEEE Trans. Vis. Comput. Graph., 2019

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation.
IEEE Trans. Vis. Comput. Graph., 2019

Looks Good To Me: Visualizations As Sanity Checks.
IEEE Trans. Vis. Comput. Graph., 2019

Designing Animated Transitions to Convey Aggregate Operations.
Comput. Graph. Forum, 2019

Ethical Dimensions of Visualization Research.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Value-Suppressing Uncertainty Palettes.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Ross-Chernoff Glyphs Or: How Do We Kill Bad Ideas in Visualization?
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Surprise! Bayesian Weighting for De-Biasing Thematic Maps.
IEEE Trans. Vis. Comput. Graph., 2017

Designing for Uncertainty in HCI: When Does Uncertainty Help?
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

Regression by Eye: Estimating Trends in Bivariate Visualizations.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016
The semantics of sketch: Flexibility in visual query systems for time series data.
Proceedings of the 11th IEEE Conference on Visual Analytics Science and Technology, 2016

2015
LayerCake: a tool for the visual comparison of viral deep sequencing data.
Bioinform., 2015

2014
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error.
IEEE Trans. Vis. Comput. Graph., 2014

Task-driven evaluation of aggregation in time series visualization.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Navigating reductionism and holism in evaluation.
Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization, 2014

2013
Perception of Average Value in Multiclass Scatterplots.
IEEE Trans. Vis. Comput. Graph., 2013

Quantity estimation in visualizations of tagged text.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
Comparing averages in time series data.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2011
Exploring Collections of Tagged Text for Literary Scholarship.
Comput. Graph. Forum, 2011

Visualizing virus population variability from next generation sequencing data.
Proceedings of the 2011 IEEE Symposium on Biological Data Visualization, 2011


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