3 citations · 4 across the 5 of their papers we have counts for
6 papers
Indirect Influences of Artificial Intelligence Advice on Complex Sepsis Treatment Decisions
Venkatesh Sivaraman, Joel Levin, Eric P. Mason +6
Sepsis is a major public health concern, and many sepsis patients die due to ineffective hemodynamic management. Artificial intelligence could support hemodynamic decisions, partic…
More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes
Venkatesh Sivaraman, Patrick Vossler, Adam Perer +2
Generative artificial intelligence (AI) tools can now help people perform complex data science tasks regardless of their expertise. While these tools have great potential to help m…
Texture: Structured Exploration of Text Datasets
Will Epperson, Arpit Mathur, Adam Perer +1
Exploratory analysis of a text corpus is essential for assessing data quality and developing meaningful hypotheses. Text analysis relies on understanding documents through structur…
Over-Relying on Reliance: Towards Realistic Evaluations of AI-Based Clinical Decision Support
Venkatesh Sivaraman, Katelyn Morrison, Will Epperson +1
As AI-based clinical decision support (AI-CDS) is introduced in more and more aspects of healthcare services, HCI research plays an increasingly important role in designing for com…
Guided Statistical Workflows with Interactive Explanations and Assumption Checking
Yuqi Zhang, Adam Perer, Will Epperson
Statistical practices such as building regression models or running hypothesis tests rely on following rigorous procedures of steps and verifying assumptions on data to produce val…
Dead or Alive: Continuous Data Profiling for Interactive Data Science
Will Epperson, Vaishnavi Gorantla, Dominik Moritz +1
Profiling data by plotting distributions and analyzing summary statistics is a critical step throughout data analysis. Currently, this process is manual and tedious since analysts…