83 citations · 84 across the 6 of their papers we have counts for
7 papers
Visualizing Uncertainty in Non-linear Projections with Ensembles
Kai Nylund, Michael Correll, Lace Padilla
Widely used non-linear dimensionality reduction (NLDR) methods such as UMAP and t-SNE are stochastic--repeated runs on the same data can produce different low-dimensional projectio…
Mixed Uncertainty in One View: Co-Visualizing Statistical Variability and Qualitative Confidence
Racquel Fygenson, Lace Padilla, Laura E. Matzen
Forecasting involves multiple forms of uncertainty, including both uncertainties that can be quantified directly (quantitative uncertainty) and those that must be expressed through…
Seeing Through the Forecast Clutter: Communicating Climate Forecast Distributions with Weighted Multiple Forecast Visualizations
Ruishi Zou, Siyi Wu, Racquel Fygenson +3
Forecasts often diverge because different models make varying assumptions to account for underlying uncertainty. Readers who consume forecasts may wish to survey the shape and spre…
MIND: Empowering Mental Health Clinicians with Multimodal Data Insights through a Narrative Dashboard
Ruishi Zou, Shiyu Xu, Margaret E Morris +11
Advances in data collection enable the capture of rich patient-generated data: from passive sensing (e.g., wearables and smartphones) to active self-reports (e.g., cross-sectional…
Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care
Bingsheng Yao, Menglin Zhao, Zhan Zhang +11
Post-surgery care involves ongoing collaboration between provider teams and patients, which starts from post-surgery hospitalization through home recovery after discharge. While pr…
Striking a Balance: Evaluating How Aggregations of Multiple Forecasts Impact Judgment Under Uncertainty
Ruishi Zou, Siyi Wu, Racquel Fygenson +3
Decision-makers consult multiple forecasts to account for uncertainties when forming judgments about future events. While prior works have compared unaggregated and highly-aggregat…
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Shao Zhang, Jianing Yu, Xuhai Xu +8
Today's AI systems for medical decision support often succeed on benchmark datasets in research papers but fail in real-world deployment. This work focuses on the decision making o…