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ORCIDLace M. K. Padilla
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- affiliation: Northeastern University, Boston, MA, USA
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2020 – today
- 2024
[j15]Dominik Moritz
, Lace M. K. Padilla, Francis Nguyen, Steven L. Franconeri:
Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. IEEE Trans. Vis. Comput. Graph. 30(1): 306-315 (2024)- [j14]Anjana Arunkumar, Lace M. K. Padilla, Gi-Yeul Bae, Chris Bryan:
Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. IEEE Trans. Vis. Comput. Graph. 30(1): 1030-1040 (2024) - [c13]Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang:
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CHI 2024: 445:1-445:18 - [c12]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 - [c11]Emily Wall, Laura E. Matzen, Mennatallah El-Assady, Peta Masters, Helia Hosseinpour, Alex Endert, Rita Borgo, Polo Chau, Adam Perer, Harald T. Schupp, Hendrik Strobelt, Lace M. K. Padilla:
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. PacificVis 2024: 22-31 - 2023
- [j13]Lace M. K. Padilla, Racquel Fygenson, Spencer C. Castro, Enrico Bertini:
Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations. IEEE Trans. Vis. Comput. Graph. 29(1): 12-22 (2023) - [c10]Hannah Lloyd, Holly Huey, Erik Brockbank, Lace M. K. Padilla, Judith E. Fan:
What is graph comprehension and how do you measure it? CogSci 2023 - [i5]Anjana Arunkumar, Lace M. K. Padilla, Gi-Yeul Bae, Chris Bryan:
Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. CoRR abs/2307.10571 (2023) - [i4]Dominik Moritz, Lace M. K. Padilla, Francis Nguyen, Steven L. Franconeri:
Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. CoRR abs/2308.03903 (2023) - [i3]Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang:
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CoRR abs/2309.12368 (2023) - 2022
- [j12]Lace M. K. Padilla:
How to understand your climate uncertainty. Interactions 29(1): 30-32 (2022) - [j11]Lace M. K. Padilla:
Understanding uncertainty on a map is harder than you think. Interactions 29(3): 19-21 (2022) - [j10]Lace M. K. Padilla:
Know your experimental uncertainty. Interactions 29(6): 21-23 (2022) - [j9]Spencer C. Castro, P. Samuel Quinan, Helia Hosseinpour, Lace M. K. Padilla:
Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX. IEEE Trans. Vis. Comput. Graph. 28(1): 411-421 (2022) - [j8]Greg Woodin, Bodo Winter, Lace M. K. Padilla:
Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs. IEEE Trans. Vis. Comput. Graph. 28(2): 1209-1221 (2022) - [c9]Jen Liu, Cindy Kaiying Lin, Anne Pasek, Robert Soden, Lace M. K. Padilla, Daniela K. Rosner, Steven J. Jackson:
Towards a Material Ethics of Computing: Addressing the Uneven Environmental Stakes of Digital Infrastructures. CHI Extended Abstracts 2022: 102:1-102:5 - [c8]Chat Wacharamanotham, Fumeng Yang, Xiaoying Pu, Abhraneel Sarma, Lace M. K. Padilla:
Transparent Practices for Quantitative Empirical Research. CHI Extended Abstracts 2022: 122:1-122:5 - [i2]Hamza Elhamdadi, Lace M. K. Padilla, Cindy Xiong:
Using Processing Fluency as a Metric of Trust in Scatterplot Visualizations. CoRR abs/2209.14340 (2022) - 2021
- [j7]Roberto Therón, Lace M. K. Padilla:
Editorial: Uncertainty Visualization and Decision Making. Frontiers Comput. Sci. 3: 758406 (2021) - [c7]Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker:
Mapping the Landscape of COVID-19 Crisis Visualizations. CHI 2021: 608:1-608:23 - [c6]Jiayan Zhao, Mark B. Simpson, Pejman Sajjadi, Jan Oliver Wallgrün, Ping Li, Mahda M. Bagher, Danielle Oprean, Lace M. K. Padilla, Alexander Klippel:
CrowdXR - Pitfalls and Potentials of Experiments with Remote Participants. ISMAR 2021: 450-459 - [i1]Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker:
Mapping the Landscape of COVID-19 Crisis Visualizations. CoRR abs/2101.04743 (2021) - 2020
- [j6]Lace M. K. Padilla, Spencer C. Castro, P. Samuel Quinan, Ian T. Ruginski, Sarah H. Creem-Regehr:
Toward Objective Evaluation of Working Memory in Visualizations: A Case Study Using Pupillometry and a Dual-Task Paradigm. IEEE Trans. Vis. Comput. Graph. 26(1): 332-342 (2020) - [c5]Ritesh Sharma, Ayme Tomson, Emilio Lobato, Marcelo Kallmann, Lace M. K. Padilla:
Data Driven Multi-Hazard Risk Visualization. EuroVis (Posters) 2020: 13-15
2010 – 2019
- 2019
- [j5]P. Samuel Quinan, Lace M. K. Padilla, Sarah H. Creem-Regehr, Miriah D. Meyer:
Examining Implicit Discretization in Spectral Schemes. Comput. Graph. Forum 38(3): 363-374 (2019) - [j4]Le Liu, Lace M. K. Padilla, Sarah H. Creem-Regehr, Donald H. House:
Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks. IEEE Trans. Vis. Comput. Graph. 25(1): 882-891 (2019) - [c4]Cindy Xiong, Lace M. K. Padilla, Kent Grayson, Steven Franconeri:
Examining the Components of Trust in Map-Based Visualizations. TrustVis@EuroVis 2019: 19-23 - 2018
- [c3]Lace M. K. Padilla:
A Case for Cognitive Models in Visualization Research : Position paper. BELIV 2018: 69-77 - 2017
- [j3]Lace M. K. Padilla, P. Samuel Quinan, Miriah D. Meyer, Sarah H. Creem-Regehr:
Evaluating the Impact of Binning 2D Scalar Fields. IEEE Trans. Vis. Comput. Graph. 23(1): 431-440 (2017) - [j2]Le Liu, Alexander P. Boone, Ian T. Ruginski, Lace M. K. Padilla, Mary Hegarty, Sarah H. Creem-Regehr, William B. Thompson, Cem Yuksel, Donald H. House:
Uncertainty Visualization by Representative Sampling from Prediction Ensembles. IEEE Trans. Vis. Comput. Graph. 23(9): 2165-2178 (2017) - 2016
- [j1]Ian T. Ruginski, Alexander P. Boone, Lace M. K. Padilla, Le Liu, Nahal Heydari, Heidi S. Kramer, Mary Hegarty, William B. Thompson, Donald H. House, Sarah H. Creem-Regehr:
Non-expert interpretations of hurricane forecast uncertainty visualizations. Spatial Cogn. Comput. 16(2): 154-172 (2016) - 2015
- [c2]Lace M. K. Padilla, Sarah H. Creem-Regehr, Jeanine K. Stefanucci, Elizabeth Cashdan:
Sex Differences in Virtual Navigation Influenced by Scale, Visual Cues, Spatial Abilities and Lifetime Mobility. CogSci 2015 - [c1]Ian T. Ruginski, Alexander P. Boone, Lace M. K. Padilla, Mary Hegarty, William B. Thompson, Donald H. House, Sarah H. Creem-Regehr:
Understanding the Cone of Uncertainty: Non-expert interpretations of hurricane forecast uncertainty visualizations. CogSci 2015
Coauthor Index
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last updated on 2024-06-27 20:44 CEST by the dblp team
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