collaborators

5 papers

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…