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Michael Correll
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2020 – today
- 2024
- [j15]Vidya Setlur, Michael Correll, Arvind Satyanarayan, Melanie Tory:
Heuristics for Supporting Cooperative Dashboard Design. IEEE Trans. Vis. Comput. Graph. 30(1): 370-380 (2024) - [c30]Abhraneel Sarma, Sheng Long, Michael Correll, Matthew Kay:
Tasks and Telephones: Threats to Experimental Validity due to Misunderstandings of Visualisation Tasks and Strategies Position Paper. BELIV 2024: 33-40 - [c29]Florian Windhager, Alfie Abdul-Rahman, Mark-Jan Bludau, Nicole Hengesbach, Houda Lamqaddam, Isabel Meirelles, Bettina Speckmann, Michael Correll:
Complexity as Design Material Position Paper. BELIV 2024: 71-80 - [c28]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: 494:1-494:7 - [c27]Michael Correll, Laura A. Garrison:
When the Body Became Data: Historical Data Cultures and Anatomical Illustration. CHI 2024: 764:1-764:18 - [c26]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: 1034:1-1034:14 - [c25]Matthew Brehmer, Vidya Setlur, Zoe, Michael Correll:
The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts. GEN4DS@VIS 2024: 1-3 - [c24]Nicole Sultanum, Dennis Bromley, Michael Correll:
Data Guards: Challenges and Solutions for Fostering Trust in Data. IEEE VIS 2024: 56-60 - [i21]Michael Correll, Laura A. Garrison:
When the Body Became Data: Historical Data Cultures and Anatomical Illustration. CoRR abs/2402.05014 (2024) - [i20]Nicole Sultanum, Dennis Bromley, Michael Correll:
Data Guards: Challenges and Solutions for Fostering Trust in Data. CoRR abs/2407.14042 (2024) - [i19]Matthew Brehmer, Vidya Setlur, Zoe, Michael Correll:
The Data-Wink Ratio: Emoji Encoder for Generating Semantically-Resonant Unit Charts. CoRR abs/2408.13418 (2024) - [i18]Florian Windhager, Alfie Abdul-Rahman, Mark-Jan Bludau, Nicole Hengesbach, Houda Lamqaddam, Isabel Meirelles, Bettina Speckmann, Michael Correll:
Complexity as Design Material. CoRR abs/2409.07465 (2024) - 2023
- [j14]Michael Correll:
Teru Teru Bōzu: Defensive Raincloud Plots. Comput. Graph. Forum 42(3): 235-246 (2023) - [j13]Eric Newburger, Michael Correll, Niklas Elmqvist:
Fitting Bell Curves to Data Distributions Using Visualization. IEEE Trans. Vis. Comput. Graph. 29(12): 5372-5383 (2023) - [c23]Derya Akbaba, Devin Lange, Michael Correll, Alexander Lex, Miriah Meyer:
Troubling Collaboration: Matters of Care for Visualization Design Study. CHI 2023: 812:1-812:15 - [i17]Eric Newburger, Michael Correll, Niklas Elmqvist:
Fitting Bell Curves to Data Distributions using Visualization. CoRR abs/2301.04717 (2023) - [i16]Michael Correll:
Teru Teru Bōzu: Defensive Raincloud Plots. CoRR abs/2303.17709 (2023) - [i15]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 abs/2306.16513 (2023) - [i14]Vidya Setlur, Michael Correll, Arvind Satyanarayan, Melanie Tory:
Heuristics for Supporting Cooperative Dashboard Design. CoRR abs/2308.04514 (2023) - 2022
- [j12]Lyn Bartram, Michael Correll, Melanie Tory:
Untidy Data: The Unreasonable Effectiveness of Tables. IEEE Trans. Vis. Comput. Graph. 28(1): 686-696 (2022) - [c22]Michael Correll:
Position Paper: Are We Making Progress In Visualization Research? BELIV 2022: 1-10 - [c21]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: 411:1-411:17 - [c20]Vidya Setlur, Michael Correll, Sarah Battersby:
Oscar: A Semantic-based Data Binning Approach. IEEE VIS (Short Papers) 2022: 100-104 - [i13]Calvin S. Bao, Siyao Li, Sarah G. Flores, Michael Correll, Leilani Battle:
Recommendations for Visualization Recommendations: Exploring Preferences and Priorities in Public Health. CoRR abs/2202.01335 (2022) - [i12]Vidya Setlur, Michael Correll, Sarah Battersby:
OSCAR: A Semantic-based Data Binning Approach. CoRR abs/2207.07727 (2022) - [i11]Michael Correll:
Are We Making Progress In Visualization Research? CoRR abs/2208.11810 (2022) - 2021
- [c19]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: 473:1-473:16 - [c18]Anamaria Crisan, Michael Correll:
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics. CHI 2021: 600:1-600:16 - [c17]Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle:
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. CHI 2021: 602:1-602:12 - [i10]Anamaria Crisan, Michael Correll:
User Ex Machina : Simulation as a Design Probe in Human-in-the-Loop Text Analytics. CoRR abs/2101.02244 (2021) - [i9]Rachael Zehrung, Astha Singhal, Michael Correll, Leilani Battle:
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations. CoRR abs/2101.04251 (2021) - [i8]Lyn Bartram, Michael Correll, Melanie Tory:
Untidy Data: The Unreasonable Effectiveness of Tables. CoRR abs/2106.15005 (2021) - [i7]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 abs/2109.01688 (2021) - [i6]Michael Correll:
Towards a Theory of Bullshit Visualization. CoRR abs/2109.12975 (2021) - 2020
- [j11]Aspen K. Hopkins, Michael Correll, Arvind Satyanarayan:
VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors. Comput. Graph. Forum 39(3): 219-228 (2020) - [j10]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): 759-769 (2020) - [c16]Michael Correll:
What Do We Actually Learn from Evaluations in the "Heroic Era" of Visualization? : Position Paper. BELIV 2020: 48-54 - [c15]Michael Correll, Enrico Bertini, Steven Franconeri:
Truncating the Y-Axis: Threat or Menace? CHI 2020: 1-12 - [c14]Andrew M. McNutt, Anamaria Crisan, Michael Correll:
Divining Insights: Visual Analytics Through Cartomancy. CHI Extended Abstracts 2020: 1-16 - [c13]Andrew M. McNutt, Gordon L. Kindlmann, Michael Correll:
Surfacing Visualization Mirages. CHI 2020: 1-16 - [c12]Enrico Bertini, Michael Correll, Steven Franconeri:
Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations. IEEE VIS (Short Papers) 2020: 206-210 - [i5]Andrew M. McNutt, Gordon L. Kindlmann, Michael Correll:
Surfacing Visualization Mirages. CoRR abs/2001.02316 (2020) - [i4]Michael Correll:
What Do We Actually Learn from Evaluations in the "Heroic Era" of Visualization? CoRR abs/2008.11250 (2020) - [i3]Enrico Bertini, Michael Correll, Steven Franconeri:
Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven Visualizations. CoRR abs/2008.11310 (2020)
2010 – 2019
- 2019
- [j9]Younghoon Kim, Michael Correll, Jeffrey Heer:
Designing Animated Transitions to Convey Aggregate Operations. Comput. Graph. Forum 38(3): 541-551 (2019) - [j8]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): 682-692 (2019) - [j7]Michael Correll, Mingwei Li, Gordon L. Kindlmann, Carlos Scheidegger:
Looks Good To Me: Visualizations As Sanity Checks. IEEE Trans. Vis. Comput. Graph. 25(1): 830-839 (2019) - [j6]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): 903-913 (2019) - [c11]Michael Correll:
Ethical Dimensions of Visualization Research. CHI 2019: 188 - [i2]Michael Correll, Enrico Bertini, Steven Franconeri:
Truncating the Y-Axis: Threat or Menace? CoRR abs/1907.02035 (2019) - 2018
- [c10]Michael Correll:
Ross-Chernoff Glyphs Or: How Do We Kill Bad Ideas in Visualization? CHI Extended Abstracts 2018 - [c9]Michael Correll, Dominik Moritz, Jeffrey Heer:
Value-Suppressing Uncertainty Palettes. CHI 2018: 642 - [i1]Michael Correll:
Ethical Dimensions of Visualization Research. CoRR abs/1811.07271 (2018) - 2017
- [j5]Michael Correll, Jeffrey Heer:
Surprise! Bayesian Weighting for De-Biasing Thematic Maps. IEEE Trans. Vis. Comput. Graph. 23(1): 651-660 (2017) - [c8]Miriam Greis, Jessica Hullman, Michael Correll, Matthew Kay, Orit Shaer:
Designing for Uncertainty in HCI: When Does Uncertainty Help? CHI Extended Abstracts 2017: 593-600 - [c7]Michael Correll, Jeffrey Heer:
Regression by Eye: Estimating Trends in Bivariate Visualizations. CHI 2017: 1387-1396 - 2016
- [c6]Michael Correll, Michael Gleicher:
The semantics of sketch: Flexibility in visual query systems for time series data. VAST 2016: 131-140 - 2015
- [j4]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): 3522-3528 (2015) - 2014
- [j3]Michael Correll, Michael Gleicher:
Error Bars Considered Harmful: Exploring Alternate Encodings for Mean and Error. IEEE Trans. Vis. Comput. Graph. 20(12): 2142-2151 (2014) - [c5]Michael Correll, Eric C. Alexander, Danielle Albers, Alper Sarikaya, Michael Gleicher:
Navigating reductionism and holism in evaluation. BELIV 2014: 23-26 - [c4]Danielle Albers, Michael Correll, Michael Gleicher:
Task-driven evaluation of aggregation in time series visualization. CHI 2014: 551-560 - 2013
- [j2]Michael Gleicher, Michael Correll, Christine Nothelfer, Steven Franconeri:
Perception of Average Value in Multiclass Scatterplots. IEEE Trans. Vis. Comput. Graph. 19(12): 2316-2325 (2013) - [c3]Michael Correll, Eric C. Alexander, Michael Gleicher:
Quantity estimation in visualizations of tagged text. CHI 2013: 2697-2706 - 2012
- [c2]Michael Correll, Danielle Albers, Steven Franconeri, Michael Gleicher:
Comparing averages in time series data. CHI 2012: 1095-1104 - 2011
- [j1]Michael Correll, Michael Witmore, Michael Gleicher:
Exploring Collections of Tagged Text for Literary Scholarship. Comput. Graph. Forum 30(3): 731-740 (2011) - [c1]Michael Correll, Subhadip Ghosh, David H. O'Connor, Michael Gleicher:
Visualizing virus population variability from next generation sequencing data. BioVis 2011: 135-142
Coauthor Index
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last updated on 2024-12-12 20:58 CET by the dblp team
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