Ken Gu

schoolUniversity Of Washingtonbar_chart#2828 Global Rank

Total Papers

HCI Rank

#2828

Research Areas

Years Active

Recent Publications

"I Need to Find That One Chart": How Data Workers Navigate, Summarize and Communicate Analytical Conversations

Conversational interfaces are increasingly used for data analysis, enabling data workers to express complex analytical intents in natural language. Yet, these interactions unfold as long, linear transcripts that are misaligned with the iterative, nonlinear nature of real-world analyses. Revisiting and summarizing conv…

CHI '241st AuthorHuman-LLM Collaboration +2

How Do Analysts Understand and Verify AI-Assisted Data Analyses?

Data analysis is challenging as it requires synthesizing domain knowledge, statistical expertise, and programming skills. Assistants powered by large language models (LLMs), such as ChatGPT, can assist analysts by translating natural language instructions into code. However, AI-assistant responses and analysis code ca…

CHI '241st AuthorHuman-LLM Collaboration +1

How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study

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 their analyses, enabling more robust decision making. Though AI-based assistants that target code execution (e.g., Github Copilot) have receive…

CHI '231st AuthorVisualization Perception & Cognition +1

Understanding and Supporting Debugging Workflows in Multiverse Analysis

Multiverse analysis—a paradigm for statistical analysis that considers all combinations of reasonable analysis choices in parallel—promises to improve transparency and reproducibility. Although recent tools help analysts specify multiverse analyses, they remain difficult to use in practice. In this work, we identify d…

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