19 citations · 35 across the 7 of their papers we have counts for
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cs.HC2023★ 1 cited
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
Ken Gu, Ruoxi Shang, Tim Althoff +2
Data analysis is challenging as it requires synthesizing domain knowledge, statistical expertise, and programming skills. Assistants powered by large language models (LLMs), such a…
cs.HC2023★ 3 cited
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study
Ken Gu, Madeleine Grunde-McLaughlin, Andrew M. McNutt +2
Data analysis is challenging as analysts must navigate nuanced decisions that may yield divergent conclusions. AI assistants have the potential to support analysts in planning thei…
cs.HC2022
Understanding and Supporting Debugging Workflows in Multiverse Analysis
Ken Gu, Eunice Jun, Tim Althoff
Multiverse analysis, a paradigm for statistical analysis that considers all combinations of reasonable analysis choices in parallel, promises to improve transparency and reproducib…