Daniel S Weld

schoolUniversity Of Washingtonbar_chart#1921 Global Rank

Total Papers

HCI Rank

#1921

Research Areas

Years Active

Recent Publications

RDoFlow: Automatically assessing under-specified statistical analyses in HCI

When designing and analyzing a study, researchers must navigate a large space of methodological decisions, or "researcher degrees of freedom." If these choices are not preregistered or transparently reported, they can increase the risk of inflated false-positive rates and exaggerated effect sizes, undermining scientif…

CHI '265th+ AuthorBest PaperHuman-LLM Collaboration +2

Cocoa: Co-Planning and Co-Execution with AI Agents

As AI agents take on increasingly long-running tasks involving sophisticated planning and execution, there is a corresponding need for novel interaction designs that enable deeper human-agent collaboration. However, most prior works leverage human interaction to fix "autonomous" workflows that have yet to become fully…

CHI '25CorrespondingUser Research Methods (Interviews, Surveys, Observation) +1

Toward Living Narrative Reviews: An Empirical Study of the Processes and Challenges in Updating Survey Articles in Computing Research

Surveying prior literature to establish a foundation for new knowledge is essential for scholarly progress. However, survey articles are resource-intensive and challenging to create, and can quickly become outdated as new research is published, risking information staleness and inaccuracy. Keeping survey articles curr…

UIST '24CorrespondingHuman-LLM Collaboration +1

Qlarify: Recursively Expandable Abstracts for Dynamic Information Retrieval over Scientific Papers

Navigating the vast scientific literature often starts with browsing a paper’s abstract. However, when a reader seeks additional information, not present in the abstract, they face a costly cognitive chasm during their dive into the full text. To bridge this gap, we introduce recursively expandable abstracts, a novel…

UIST '225th+ AuthorRecommender System UX +2

FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs

The vast scale and open-ended nature of knowledge graphs (KGs) make exploratory search over them cognitively demanding for users. We introduce a new technique, polymorphic lenses, that improves exploratory search over a KG by obtaining new leverage from the existing preference models that KG-based systems maintain for…

CHI '225th+ AuthorRecommender System UX +1

Bursting Scientific Filter Bubbles: Boosting Innovation Via Novel Author Discovery

Isolated silos of scientific research and the growing challenge of information overload limit awareness across the literature and hinder innovation. Algorithmic curation and recommendation, which often prioritize relevance, can further reinforce these informational "filter bubbles." In response, we describe Bridger, a…

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