Publications

September 2024 | The 2024 ACM Conference on Fairness, Accountability, and Transparency
Balancing Act: Evaluating People’s Perceptions of Fair Ranking Metrics.
Mallak Alkhathlan, Kathleen Cachel, Hilson Shrestha, Lane T. Harrison, Elke Rundensteiner
October 2023 | Workshop on Data Visualization for Social Good 2023
Beyond English: Centering Multilingualism in Data Visualization
Noëlle Rakotondravony, Priya Dhawka, Melanie Bancilhon
October 2023 | IEEE Visualization and Visual Analytics (VIS)
Adaptive Assessment of Visualization Literacy
Yuan Cui, Lily W. Ge, Yiren Ding, Fumeng Yang, Lane T. Harrison, Matthew Kay
October 2023 | IEEE Visualization and Visual Analytics (VIS)
reVISit: Supporting Scalable Evaluation of Interactive Visualizations
Yiren Ding, Jack Wilburn, Hilson Shrestha, Akim Ndlovu, Kiran Gadhave, Carolina Nobre, Alexander Lex, Lane T. Harrison
October 2023 | IEEE Visualization and Visual Analytics (VIS) - Best Paper Honorable Mention
Data in the Wind: Evaluating Multiple-Encoding Design for Particle Motion Visualizations
Yiren Ding, Lane T. Harrison
October 2023 | IEEE Visualization and Visual Analytics (VIS)
Taken By Surprise? Evaluating how Bayesian Surprise & Suppression Influences Peoples’ Takeaways in Map Visualizations
Akim Ndlovu, Hilson Shrestha, Lane T. Harrison
June 2023 | FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency
Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking
Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner, Lane T. Harrison
April 2023 | Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots
Fumeng Yang, Yuxin Ma, Lane T. Harrison, James Tompkin, David H. Laidlaw
March 2023 | Companion Proceedings of the 28th International Conference on Intelligent User Interfaces
Visualizing Decisions and Analytics of Artificial Intelligence based Cancer Diagnosis and Grading of Specimen Digitized Biopsy: Case Study for Prostate Cancer
Akarsh Singh, Michael Wan, Lane T. Harrison, Anne Breggia, Robert Christman, Raimond L. Winslow, Saeed Amal
December 2022 | IEEE Visualization and Visual Analytics (VIS)
The Risks of Ranking: Revisiting Graphical Perception to Model Individual Differences in Visualization Performance
Russ Davis, Xiaoyin Pu, Yiren Ding, Brian Hall, Karen Bonilla, Mi Feng, Matthew Kay, Lane T. Harrison
November 2022 | Healthcare Analytics
Impact assessment of stereotype threat on mobile depression screening using Bayesian estimation
ML Tlachac, Miranda Reisch, Brittany Lewis, Ricardo Flores, Lane T. Harrison, Elke Rundensteiner
October 2022 | IEEE Visualization and Visual Analytics (VIS)
VisQuiz: Exploring Feedback Mechanisms to Improve Graphical Perception
Ryan Birchfield, Maddison Caten, Errica Cheng, Madyson Kelly, Truman Larson, Hoang Phan Pham, Yiren Ding, Noëlle Rakotondravony, Lane T. Harrison
Two charts showing results from two experiments. Left: Expression-to-Vis experiment. A user icon, an icon array with 100 gray icons, an arrow pointing to a second icon array with 67 icons in orange are above a graph that shows the 95% confidence interval of the values drawn on the icon arrays on the x-axis. The list of probability expressions is on the y-axis. Five 95% confidence intervals representing the range of drawn values in the five languages are displayed for each probability expression. Right: Vis-to-Expression experiment. A user icon, an icon array with 35 orange icons, and a list of probability expressions with the expression 'likely' highlighted are above a confidence interval graph that shows the value appearing on the icon array on the x-axis. The list of probability expressions is on the y-axis. Five 95% confidence intervals representing the range of drawn values in the five languages are displayed for each probability expression.
October 2022 | IEEE Visualization and Visual Analytics (VIS)
Probablement, Wahrscheinlich, Likely? A Cross-Language Study of How People Verbalize Probabilities in Icon Array Visualizations.
Noëlle Rakotondravony, Yiren Ding, Lane T. Harrison
October 2022 | IEEE Visualization and Visual Analytics (VIS)
FairFuse: Interactive Visual Support for Fair Consensus Ranking
Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner, Lane T. Harrison