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Danielle Albers Szafir

Danielle Szafir – Danielle Albers

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affiliation: North Carolina at Chapel Hill, NC, USA
affiliation: University of Colorado Boulder, CO, USA

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2024
[j26]
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Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee, Paul Rosen, Danielle Albers Szafir, Jinwook Seo:
: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering. IEEE Trans. Vis. Comput. Graph. 30(1): 770-780 (2024)
[j25]
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S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman, Ellen Yi-Luen Do, Michael L. Rivera, Danielle Albers Szafir:
A Computational Design Pipeline to Fabricate Sensing Network Physicalizations. IEEE Trans. Vis. Comput. Graph. 30(1): 913-923 (2024)
[j24]
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Brianna L. Wimer, Laura South, Keke Wu, Danielle Albers Szafir, Michelle A. Borkin, Ronald A. Metoyer:
Beyond Vision Impairments: Redefining the Scope of Accessible Data Representations. IEEE Trans. Vis. Comput. Graph. 30(12): 7619-7636 (2024)
2023
[j23]
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Colin Ware, Maureen Stone, Danielle Albers Szafir:
Rainbow Colormaps Are Not All Bad. IEEE Computer Graphics and Applications 43(3): 88-93 (2023)
[j22]
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S. Sandra Bae, Rishi Vanukuru, Ruhan Yang, Peter Gyory, Ran Zhou, Ellen Yi-Luen Do, Danielle Albers Szafir:
Cultivating Visualization Literacy for Children Through Curiosity and Play. IEEE Trans. Vis. Comput. Graph. 29(1): 257-267 (2023)
[j21]
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Danielle Szafir, David S. Ebert, Hendrik Strobelt:
Welcome: Message from the VIS 2022 General Chairs. IEEE Trans. Vis. Comput. Graph. 29(1): xv (2023)
2022
[j20]
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Kyle Wm. Hall, Anthony Kouroupis, Anastasia Bezerianos, Danielle Albers Szafir, Christopher Collins:
Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines. IEEE Trans. Vis. Comput. Graph. 28(1): 654-664 (2022)
[j19]
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Matt-Heun Hong, Jessica K. Witt, Danielle Albers Szafir:
The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots. IEEE Trans. Vis. Comput. Graph. 28(1): 987-997 (2022)
2021
[j18]
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Danielle Albers Szafir, Francesca Samsel, Stephanie Zeller, Rick Saltus:
Enabling Crosscutting Visualization for Geoscience. IEEE Computer Graphics and Applications 41(1): 49-57 (2021)
[j17]
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Kim Marriott, Bongshin Lee, Matthew Butler, Ed Cutrell, Kirsten Ellis, Cagatay Goncu, Marti A. Hearst, Kathleen F. McCoy, Danielle Albers Szafir:
Inclusive data visualization for people with disabilities: a call to action. Interactions 28(3): 47-51 (2021)
[j16]
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Jeremy Muesing, Nisar R. Ahmed, Luke Burks, Michael L. Iuzzolino, Danielle Albers Szafir:
Fully Bayesian Human-Machine Data Fusion for Robust Online Dynamic Target Characterization. J. Aerosp. Inf. Syst. 18(2): 26-49 (2021)
[j15]
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Khairi Reda, Danielle Albers Szafir:
Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference. IEEE Trans. Vis. Comput. Graph. 27(2): 1032-1042 (2021)
[j14]
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Madison A. Elliott, Christine Nothelfer, Cindy Xiong, Danielle Albers Szafir:
A Design Space of Vision Science Methods for Visualization Research. IEEE Trans. Vis. Comput. Graph. 27(2): 1117-1127 (2021)
2020
[j13]
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Matt Whitlock, Keke Wu, Danielle Albers Szafir:
Designing for Mobile and Immersive Visual Analytics in the Field. IEEE Trans. Vis. Comput. Graph. 26(1): 503-513 (2020)
[j12]
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Stephen Smart, Keke Wu, Danielle Albers Szafir:
Color Crafting: Automating the Construction of Designer Quality Color Ramps. IEEE Trans. Vis. Comput. Graph. 26(1): 1215-1225 (2020)
2019
[j11]
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Bongshin Lee, Kate Isaacs, Danielle Albers Szafir, G. Elisabeta Marai, Cagatay Turkay, Melanie Tory, Sheelagh Carpendale, Alex Endert, Theresa-Marie Rhyne:
Broadening Intellectual Diversity in Visualization Research Papers. IEEE Computer Graphics and Applications 39(4): 78-85 (2019)
[j10]
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Hayeong Song, Danielle Albers Szafir:
Where's My Data? Evaluating Visualizations with Missing Data. IEEE Trans. Vis. Comput. Graph. 25(1): 914-924 (2019)
2018
[j9]
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Alper Sarikaya, Michael Gleicher, Danielle Albers Szafir:
Design Factors for Summary Visualization in Visual Analytics. Comput. Graph. Forum 37(3): 145-156 (2018)
[j8]
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Danielle Albers Szafir:
The good, the bad, and the biased: five ways visualizations can mislead (and how to fix them). Interactions 25(4): 26-33 (2018)
[j7]
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Danielle Albers Szafir:
Modeling Color Difference for Visualization Design. IEEE Trans. Vis. Comput. Graph. 24(1): 392-401 (2018)
2017
[j6]
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Casey Fiesler, William Aspray, Lecia Barker, Jed R. Brubaker, Laura Devendorf, Brian Keegan, Leysia Palen, Michael J. Paul, Danielle Albers Szafir, Ricarose Roque, Rick Robinson, Amy Voida, Stephen Voida:
Information science at CU Boulder. Interactions 24(4): 18-21 (2017)
2016
[j5]
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Danielle Albers Szafir, D. Stuffer, Y. Sohail, Michael Gleicher:
TextDNA: Visualizing Word Usage with Configurable Colorfields. Comput. Graph. Forum 35(3): 421-430 (2016)
[j4]
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Danielle Albers Szafir, Alper Sarikaya, Michael Gleicher:
Lightness Constancy in Surface Visualization. IEEE Trans. Vis. Comput. Graph. 22(9): 2107-2121 (2016)
2014
[j3]
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Alper Sarikaya, Danielle Albers, Jake Mitchell, Michael Gleicher:
Visualizing Validation of Protein Surface Classifiers. Comput. Graph. Forum 33(3): 171-180 (2014)
2011
[j2]
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Michael Gleicher, Danielle Albers, Rick Walker, Ilir Jusufi, Charles D. Hansen, Jonathan C. Roberts:
Visual comparison for information visualization. Inf. Vis. 10(4): 289-309 (2011)
[j1]
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Danielle Albers, Colin N. Dewey, Michael Gleicher:
Sequence Surveyor: Leveraging Overview for Scalable Genomic Alignment Visualization. IEEE Trans. Vis. Comput. Graph. 17(12): 2392-2401 (2011)

Conference and Workshop Papers

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2024
[c35]
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Keke Wu, Ghulam Jilani Quadri, Arran Zeyu Wang, David Kwame Osei-Tutu, Emma Petersen, Varsha Koushik, Danielle Albers Szafir:
Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities. ASSETS 2024: 58:1-58:17
[c34]
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Jade Kandel, Chelsea Duppen, Qian Zhang, Howard Jiang, Angelos Angelopoulos, Ashley Paula-Ann Neall, Pranav Wagh, Daniel Szafir, Henry Fuchs, Michael Lewek, Danielle Albers Szafir:
PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease Treatment. CHI 2024: 130:1-130:18
[c33]
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Matt-Heun Hong, Zachary Nolan Sunberg, Danielle Albers Szafir:
Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning. CHI 2024: 144:1-144:15
[c32]
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Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang, Jennifer Adorno Nieves, Paul Rosen, Danielle Albers Szafir:
Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension. CHI 2024: 204:1-204:26
[c31]
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Ian Thomas, Song Young Oh, Danielle Albers Szafir:
Assessing User Trust in Active Learning Systems: Insights from Query Policy and Uncertainty Visualization. IUI 2024: 772-786
2023
[c30]
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Keke Wu, Michelle Ho Tran, Emma Petersen, Varsha Koushik, Danielle Albers Szafir:
Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities. CHI 2023: 804:1-804:17
[c29]
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Chin Tseng, Ghulam Jilani Quadri, Zeyu Wang, Danielle Albers Szafir:
Measuring Categorical Perception in Color-Coded Scatterplots. CHI 2023: 824:1-824:14
[c28]
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Clementine Zimnicki, Chin Tseng, Danielle Albers Szafir, Karen B. Schloss:
Effects of data distribution and granularity on color semantics for colormap data visualizations. IEEE VIS (Short Papers) 2023: 11-15
[c27]
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Qian Zhang, Akshay Paruchuri, Young-Woon Cha, Jiabin Huang, Jade Kandel, Howard Jiang, Adrian Ilie, Andrei State, Danielle Albers Szafir, Daniel Szafir, Henry Fuchs:
Reconstruction of Human Body Pose and Appearance Using Body-Worn IMUs and a Nearby Camera View for Collaborative Egocentric Telepresence. VR Workshops 2023: 96-97
2022
[c26]
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S. Sandra Bae, Clement Zheng, Mary Etta West, Ellen Yi-Luen Do, Samuel Huron, Danielle Albers Szafir:
Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization. CHI 2022: 81:1-81:18
[c25]
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Michael Jeffrey Daniel Hoefer, Bryce E. Schumacher, Danielle Albers Szafir, Stephen Voida:
Visualizing Uncertainty in Multi-Source Mental Health Data. CHI Extended Abstracts 2022: 397:1-397:6
[c24]
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S. Sandra Bae, Danielle Albers Szafir, Ellen Yi-Luen Do:
Exploring the Benefits and Challenges of Data Physicalization. ETIS 2022
[c23]
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Matt-Heun Hong, Lauren A. Marsh, Jessica L. Feuston, Janet Ruppert, Jed R. Brubaker, Danielle Albers Szafir:
Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis. UIST 2022: 30:1-30:12
2021
[c22]
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Sandra Bae, Ruhan Yang, Peter Gyory, Julia Uhr, Danielle Albers Szafir, Ellen Yi-Luen Do:
Touching Information with DIY Paper Charts & AR Markers. IDC 2021: 433-438
[c21]
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  - conf/chi/PayneBWCSSTD21
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William Christopher Payne, Yoav Bergner, Mary Etta West, Carlie Charp, R. Benjamin Shapiro, Danielle Albers Szafir, Edd V. Taylor, Kayla DesPortes:
danceON: Culturally Responsive Creative Computing. CHI 2021: 96:1-96:16
[c20]
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Barrett Ens, Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Marcos Serrano, Wesley Willett, Arnaud Prouzeau, Christoph Anthes, Wolfgang Büschel, Cody Dunne, Tim Dwyer, Jens Grubert, Jason H. Haga, Nurit Kirshenbaum, Dylan Kobayashi, Tica Lin, Monsurat Olaosebikan, Fabian Pointecker, David Saffo, Nazmus Saquib, Dieter Schmalstieg, Danielle Albers Szafir, Matt Whitlock, Yalong Yang:
Grand Challenges in Immersive Analytics. CHI 2021: 459:1-459:17
[c19]
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Keke Wu, Emma Petersen, Tahmina Ahmad, David Burlinson, Shea Tanis, Danielle Albers Szafir:
Understanding Data Accessibility for People with Intellectual and Developmental Disabilities. CHI 2021: 606:1-606:16
[c18]
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Daniel Szafir, Danielle Albers Szafir:
Connecting Human-Robot Interaction and Data Visualization. HRI 2021: 281-292
[c17]
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Michael E. Walker, Zhaozhong Chen, Matthew Whitlock, David Blair, Danielle Albers Szafir, Christoffer Heckman, Daniel Szafir:
A Mixed Reality Supervision and Telepresence Interface for Outdoor Field Robotics. IROS 2021: 2345-2352
2020
[c16]
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  - conf/dihu/ShiSA20
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Muyang Shi, Danielle Albers Szafir, Eric Carlson Alexander:
A Survey of Data and Encodings in Word Clouds. DH 2020
[c15]
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  - conf/hci/WhitlockMPACWCS20
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Matt Whitlock, Jake Mitchell, Nick Pfeufer, Brad Arnot, Ryan Craig, Bryce Wilson, Brian Chung, Danielle Albers Szafir:
MRCAT: In Situ Prototyping of Interactive AR Environments. HCI (10) 2020: 235-255
[c14]
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Matt Whitlock, Danielle Albers Szafir, Kenny Gruchalla:
HydrogenAR: Interactive Data-Driven Presentation of Dispenser Reliability. ISMAR 2020: 704-712
[c13]
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Matt Whitlock, Stephen Smart, Danielle Albers Szafir:
Graphical Perception for Immersive Analytics. VR 2020: 616-625
2019
[c12]
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Stephen Smart, Danielle Albers Szafir:
Measuring the Separability of Shape, Size, and Color in Scatterplots. CHI 2019: 669
2018
[c11]
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  - conf/vr/WhitlockHBKS18
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Matt Whitlock, Ethan Harnner, Jed R. Brubaker, Shaun K. Kane, Danielle Albers Szafir:
Interacting with Distant Objects in Augmented Reality. VR 2018: 41-48
2017
[c10]
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  - conf/amia/DaughtonPASP17
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Ashlynn R. Daughton, Dasha Pruss, Brad Arnot, Danielle Albers Szafir, Michael J. Paul:
Characteristics of Zika Behavior Discourse on Twitter. SMM4H@AMIA 2017: 27-31
[c9]
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  - conf/huc/KellyWNLSV17
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Annie Kelly, Matt Whitlock, Brielle Nickoloff, Angel Lam, Danielle Albers Szafir, Stephen Voida:
Becoming butterflies: interactive embodiment of the butterfly lifecycle. UbiComp/ISWC Adjunct 2017: 93-96
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Catherine Diaz, Michael E. Walker, Danielle Albers Szafir, Daniel Szafir:
Designing for Depth Perceptions in Augmented Reality. ISMAR 2017: 111-122
2016
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Danielle Albers Szafir, Michael Gleicher:
Visualization-Aware Color Design. EuroVis (Posters) 2016: 97-99
2014
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Michael Correll, Eric C. Alexander, Danielle Albers, Alper Sarikaya, Michael Gleicher:
Navigating reductionism and holism in evaluation. BELIV 2014: 23-26
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Danielle Albers, Michael Correll, Michael Gleicher:
Task-driven evaluation of aggregation in time series visualization. CHI 2014: 551-560
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Danielle Albers Szafir, Maureen Stone, Michael Gleicher:
Adapting Color Difference for Design. CIC 2014: 228-233
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Maureen Stone, Danielle Albers Szafir, Vidya Setlur:
An Engineering Model for Color Difference as a Function of Size. CIC 2014: 253-258
2012
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Michael Correll, Danielle Albers, Steven Franconeri, Michael Gleicher:
Comparing averages in time series data. CHI 2012: 1095-1104
2010
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Danielle Albers, Michael Gleicher:
Perceptual principles for scalable sequence alignment visualization. APGV 2010: 164

Informal and Other Publications

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2024
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Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang, Jennifer Adorno Nieves, Paul Rosen, Danielle Albers Szafir:
Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension. CoRR abs/2402.15605 (2024)
[i25]
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  - journals/corr/abs-2402-15997
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Matt-Heun Hong, Zachary N. Sunberg, Danielle Albers Szafir:
Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning. CoRR abs/2402.15997 (2024)
[i24]
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  - journals/corr/abs-2404-03787
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Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir:
Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes. CoRR abs/2404.03787 (2024)
[i23]
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  - journals/corr/abs-2404-10661
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Jade Kandel, Chelsea Duppen, Qian Zhang, Howard Jiang, Angelos Angelopoulos, Ashley Paula-Ann Neall, Pranav Wagh, Daniel Szafir, Henry Fuchs, Michael Lewek, Danielle Albers Szafir:
PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson's Disease Treatment. CoRR abs/2404.10661 (2024)
[i22]
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  - journals/corr/abs-2408-16072
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Keke Wu, Ghulam Jilani Quadri, Arran Zeyu Wang, David Kwame Osei-Tutu, Emma Petersen, Varsha Koushik, Danielle Albers Szafir:
Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities. CoRR abs/2408.16072 (2024)
[i21]
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  - journals/corr/abs-2408-16079
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Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir:
Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes. CoRR abs/2408.16079 (2024)
[i20]
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  - journals/corr/abs-2408-16080
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Feng Lin, Arran Zeyu Wang, Md Dilshadur Rahman, Danielle Albers Szafir, Ghulam Jilani Quadri:
Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types. CoRR abs/2408.16080 (2024)
[i19]
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  - journals/corr/abs-2410-07422
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Jade Kandel, Sriya Kasumarthi, Danielle Albers Szafir:
Understanding User Needs for Injury Recovery with Augmented Reality. CoRR abs/2410.07422 (2024)
2023
[i18]
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  - journals/corr/abs-2303-05655
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Keke Wu, Michelle Ho Tran, Emma Petersen, Varsha Koushik, Danielle Albers Szafir:
Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities. CoRR abs/2303.05655 (2023)
[i17]
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  - journals/corr/abs-2303-15583
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Chin Tseng, Ghulam Jilani Quadri, Zeyu Wang, Danielle Albers Szafir:
Measuring Categorical Perception in Color-Coded Scatterplots. CoRR abs/2303.15583 (2023)
[i16]
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  - journals/corr/abs-2306-06043
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Md Dilshadur Rahman, Ghulam Jilani Quadri, Bhavana Doppalapudi, Danielle Albers Szafir, Paul Rosen:
A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space. CoRR abs/2306.06043 (2023)
[i15]
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  - journals/corr/abs-2308-00284
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Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee, Paul Rosen, Danielle Albers Szafir, Jinwook Seo:
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering. CoRR abs/2308.00284 (2023)
[i14]
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  - journals/corr/abs-2308-04714
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S. Sandra Bae, Takanori Fujiwara, Anders Ynnerman, Ellen Yi-Luen Do, Michael L. Rivera, Danielle Albers Szafir:
A Computational Design Pipeline to Fabricate Sensing Network Physicalizations. CoRR abs/2308.04714 (2023)
[i13]
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  - journals/corr/abs-2309-00131
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Clementine Zimnicki, Chin Tseng, Danielle Albers Szafir, Karen B. Schloss:
Effects of data distribution and granularity on color semantics for colormap data visualizations. CoRR abs/2309.00131 (2023)
[i12]
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  - journals/corr/abs-2309-12194
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Keke Wu, Danielle Albers Szafir:
Empowering People with Intellectual and Developmental Disabilities through Cognitively Accessible Visualizations. CoRR abs/2309.12194 (2023)
[i11]
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  - journals/dagstuhl-reports/KleinKRSM23
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Karsten Klein, Stephen G. Kobourov, Bernice E. Rogowitz, Danielle Szafir, Jacob Miller:
Perception in Network Visualization (Dagstuhl Seminar 23051). Dagstuhl Reports 13(1): 216-244 (2023)
[i10]
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  - journals/dagstuhl-reports/LeeMS023
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Bongshin Lee, Kim Marriott, Danielle Szafir, Gerhard Weber:
Inclusive Data Visualization (Dagstuhl Seminar 23252). Dagstuhl Reports 13(6): 81-105 (2023)
2022
[i9]
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  - journals/corr/abs-2202-10520
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S. Sandra Bae, Clement Zheng, Mary Etta West, Ellen Yi-Luen Do, Samuel Huron, Danielle Albers Szafir:
Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization. CoRR abs/2202.10520 (2022)
[i8]
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  - journals/corr/abs-2208-05015
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S. Sandra Bae, Rishi Vanukuru, Ruhan Yang, Peter Gyory, Ran Zhou, Ellen Yi-Luen Do, Danielle Albers Szafir:
Cultivating Visualization Literacy for Children Through Curiosity and Play. CoRR abs/2208.05015 (2022)
[i7]
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  - journals/corr/abs-2208-06133
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Matt-Heun Hong, Lauren A. Marsh, Jessica L. Feuston, Janet Ruppert, Jed R. Brubaker, Danielle Albers Szafir:
Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysis. CoRR abs/2208.06133 (2022)
2021
[i6]
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  - journals/corr/abs-2108-02333
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Kyle Wm. Hall, Anthony Kouroupis, Anastasia Bezerianos, Danielle Albers Szafir, Christopher Collins:
Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines. CoRR abs/2108.02333 (2021)
[i5]
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  - journals/corr/abs-2108-03766
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Matt-Heun Hong, Jessica K. Witt, Danielle Albers Szafir:
The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots. CoRR abs/2108.03766 (2021)
2020
[i4]
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  - journals/corr/abs-2004-00762
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Michael L. Iuzzolino, Tetsumichi Umada, Nisar R. Ahmed, Danielle Albers Szafir:
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems. CoRR abs/2004.00762 (2020)
[i3]
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  - journals/corr/abs-2009-06855
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Madison A. Elliott, Christine Nothelfer, Cindy Xiong, Danielle Szafir:
A Design Space of Vision Science Methods for Visualization Research. CoRR abs/2009.06855 (2020)
2019
[i2]
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  - journals/corr/abs-1908-00629
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Stephen Smart, Keke Wu, Danielle Albers Szafir:
Color Crafting: Automating the Construction of Designer Quality Color Ramps. CoRR abs/1908.00629 (2019)
[i1]
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  - journals/corr/abs-1908-00680
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Matt Whitlock, Keke Wu, Danielle Szafir:
Designing for Mobile and Immersive Visual Analytics in the Field. CoRR abs/1908.00680 (2019)

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