Michael Correll

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 51

Top Topics

Interactive Visualizations

Implicit Polynomial

Top Venues

IEEE Trans. Vis. Comput. Graph.

CHI Extended Abstracts

Publications

Abhraneel Sarma, Xiaoying Pu, Yuan Cui, Michael Correll, Eli T. Brown, Matthew Kay
Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. CHI (2024)
Michael Correll, Laura A. Garrison
When the Body Became Data: Historical Data Cultures and Anatomical Illustration. CHI (2024)
Vidya Setlur, Michael Correll, Arvind Satyanarayan, Melanie Tory
Heuristics for Supporting Cooperative Dashboard Design. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Lily W. Ge, Maryam Hedayati, Yuan Cui, Yiren Ding, Karen Bonilla, Alark Joshi, Alvitta Ottley, Benjamin Bach, Bum Chul Kwon, David N. Rapp, Evan M. Peck, Lace M. K. Padilla, Michael Correll, Michelle A. Borkin, Lane Harrison, Matthew Kay
Toward a More Comprehensive Understanding of Visualization Literacy. CHI Extended Abstracts (2024)
Nicole Sultanum, Dennis Bromley, Michael Correll
Data Guards: Challenges and Solutions for Fostering Trust in Data. CoRR (2024)
Michael Correll, Laura A. Garrison
When the Body Became Data: Historical Data Cultures and Anatomical Illustration. CoRR (2024)
Eric Newburger, Michael Correll, Niklas Elmqvist
Fitting Bell Curves to Data Distributions Using Visualization. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Michael Correll
Teru Teru Bōzu: Defensive Raincloud Plots. CoRR (2023)
Vidya Setlur, Michael Correll, Arvind Satyanarayan, Melanie Tory
Heuristics for Supporting Cooperative Dashboard Design. CoRR (2023)
Eric Newburger, Michael Correll, Niklas Elmqvist
Fitting Bell Curves to Data Distributions using Visualization. CoRR (2023)
Michael Correll
: Defensive Raincloud Plots. Comput. Graph. Forum 42 (3) (2023)
Joanna Purich, Arjun Srinivasan, Michael Correll, Leilani Battle, Vidya Setlur, Anamaria Crisan
Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public. CoRR (2023)
Derya Akbaba, Devin Lange, Michael Correll, Alexander Lex, Miriah Meyer
Troubling Collaboration: Matters of Care for Visualization Design Study. CHI (2023)
Michael Correll
Are We Making Progress In Visualization Research? CoRR (2022)
Michael Correll
Position Paper: Are We Making Progress In Visualization Research? BELIV (2022)
Vidya Setlur, Michael Correll, Sarah Battersby
OSCAR: A Semantic-based Data Binning Approach. CoRR (2022)
Vidya Setlur, Michael Correll, Sarah Battersby
Oscar: A Semantic-based Data Binning Approach. IEEE VIS (Short Papers) (2022)
Calvin S. Bao, Siyao Li, Sarah G. Flores, Michael Correll, Leilani Battle
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. CHI (2022)
Lyn Bartram, Michael Correll, Melanie Tory
Untidy Data: The Unreasonable Effectiveness of Tables. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Calvin Bao, Siyao Li, Sarah Flores, Michael Correll, Leilani Battle
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. CoRR (2022)
Gerrit J. Rijken, René Cutura, Frank Heyen, Michael Sedlmair, Michael Correll, Jason Dykes, Noeska N. Smit
Illegible Semantics: Exploring the Design Space of Metal Logos. CoRR (2021)
Tingting Liu, Xiaotong Li, Chen Bao, Michael Correll, Changhe Tu, Oliver Deussen, Yunhai Wang
Data-Driven Mark Orientation for Trend Estimation in Scatterplots. CHI (2021)
Anamaria Crisan, Michael Correll
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics. CoRR (2021)
Anamaria Crisan, Michael Correll
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics. CHI (2021)
Michael Correll
Towards a Theory of Bullshit Visualization. CoRR (2021)
Lyn Bartram, Michael Correll, Melanie Tory
Untidy Data: The Unreasonable Effectiveness of Tables. CoRR (2021)
Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. CHI (2021)
Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. CoRR (2021)
Enrico Bertini, Michael Correll, Steven Franconeri
Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations. CoRR (2020)
Andrew M. McNutt, Anamaria Crisan, Michael Correll
Divining Insights: Visual Analytics Through Cartomancy. CHI Extended Abstracts (2020)
Yunhai Wang, Zeyu Wang, Tingting Liu, Michael Correll, Zhanglin Cheng, Oliver Deussen, Michael Sedlmair
Improving the Robustness of Scagnostics. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Aspen K. Hopkins, Michael Correll, Arvind Satyanarayan
VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors. Comput. Graph. Forum 39 (3) (2020)
Michael Correll
What Do We Actually Learn from Evaluations in the "Heroic Era" of Visualization? CoRR (2020)
Enrico Bertini, Michael Correll, Steven Franconeri
Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations. IEEE VIS (Short Papers) (2020)
Andrew M. McNutt, Gordon L. Kindlmann, Michael Correll
Surfacing Visualization Mirages. CoRR (2020)
Andrew M. McNutt, Gordon L. Kindlmann, Michael Correll
Surfacing Visualization Mirages. CHI (2020)
Michael Correll
What Do We Actually Learn from Evaluations in the "Heroic Era" of Visualization? : Position Paper. BELIV (2020)
Michael Correll, Enrico Bertini, Steven Franconeri
Truncating the Y-Axis: Threat or Menace? CHI (2020)
Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay
In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Michael Correll
Ethical Dimensions of Visualization Research. CHI (2019)
Michael Correll, Mingwei Li, Gordon L. Kindlmann, Carlos Scheidegger
Looks Good To Me: Visualizations As Sanity Checks. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Younghoon Kim, Michael Correll, Jeffrey Heer
Designing Animated Transitions to Convey Aggregate Operations. Comput. Graph. Forum 38 (3) (2019)
Michael Correll, Enrico Bertini, Steven Franconeri
Truncating the Y-Axis: Threat or Menace? CoRR (2019)
Alper Sarikaya, Michael Correll, Lyn Bartram, Melanie Tory, Danyel Fisher
What Do We Talk About When We Talk About Dashboards? IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Michael Correll
Ross-Chernoff Glyphs Or: How Do We Kill Bad Ideas in Visualization? CHI Extended Abstracts (2018)
Michael Correll
Ethical Dimensions of Visualization Research. CoRR (2018)
Michael Correll, Dominik Moritz, Jeffrey Heer
Value-Suppressing Uncertainty Palettes. CHI (2018)
Michael Correll, Jeffrey Heer
Surprise! Bayesian Weighting for De-Biasing Thematic Maps. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
Michael Correll, Jeffrey Heer
Regression by Eye: Estimating Trends in Bivariate Visualizations. CHI (2017)
Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer
Designing for Uncertainty in HCI: When Does Uncertainty Help? CHI Extended Abstracts (2017)
Michael Correll, Michael Gleicher
The semantics of sketch: Flexibility in visual query systems for time series data. VAST (2016)
Michael Correll, Adam L. Bailey, Alper Sarikaya, David H. O'Connor, Michael Gleicher
LayerCake: a tool for the visual comparison of viral deep sequencing data. Bioinform. 31 (21) (2015)
Danielle Albers, Michael Correll, Michael Gleicher
Task-driven evaluation of aggregation in time series visualization. CHI (2014)
Michael Correll, Michael Gleicher
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error. IEEE Trans. Vis. Comput. Graph. 20 (12) (2014)
Michael Correll, Eric C. Alexander, Danielle Albers, Alper Sarikaya, Michael Gleicher
Navigating reductionism and holism in evaluation. BELIV (2014)
Michael Gleicher, Michael Correll, Christine Nothelfer, Steven Franconeri
Perception of Average Value in Multiclass Scatterplots. IEEE Trans. Vis. Comput. Graph. 19 (12) (2013)
Michael Correll, Eric C. Alexander, Michael Gleicher
Quantity estimation in visualizations of tagged text. CHI (2013)
Michael Correll, Danielle Albers, Steven Franconeri, Michael Gleicher
Comparing averages in time series data. CHI (2012)
Michael Correll, Michael Witmore, Michael Gleicher
Exploring Collections of Tagged Text for Literary Scholarship. Comput. Graph. Forum 30 (3) (2011)
Michael Correll, Subhadip Ghosh, David H. O'Connor, Michael Gleicher
Visualizing virus population variability from next generation sequencing data. BioVis (2011)