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Michael Correll
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2020 – today
- 2024
- [j15]Vidya Setlur
, Michael Correll
Heuristics for Supporting Cooperative Dashboard Design. IEEE Trans. Vis. Comput. Graph. 30(1): 370-380 (2024) - [c26]Lily W. Ge
Toward a More Comprehensive Understanding of Visualization Literacy. CHI Extended Abstracts 2024: 494:1-494:7 - [c25]Michael Correll
When the Body Became Data: Historical Data Cultures and Anatomical Illustration. CHI 2024: 764:1-764:18 - [c24]Abhraneel Sarma
Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty. CHI 2024: 1034:1-1034:14 - [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 Abduhl-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
Fitting Bell Curves to Data Distributions Using Visualization. IEEE Trans. Vis. Comput. Graph. 29(12): 5372-5383 (2023) - [c23]Derya Akbaba
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
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
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
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
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
Divining Insights: Visual Analytics Through Cartomancy. CHI Extended Abstracts 2020: 1-16 - [c13]Andrew M. McNutt
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
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
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
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
Visualizing virus population variability from next generation sequencing data. BioVis 2011: 135-142
Coauthor Index
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last updated on 2024-10-14 23:27 CEST by the dblp team
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