Code-generating large language models map natural language to code. However, only a
small portion of the infinite space of naturalistic utterances is effective at guiding code …

Today, the prominence of data science within organizations has given rise to teams of data
science workers collaborating on extracting insights from data, as opposed to individual data …

Sensemaking in unfamiliar domains can be challenging, demanding considerable user
effort to compare different options with respect to various criteria. Prior research and our …

Large language model (LLM) powered chatbots are primarily text-based today, and impose
a large interactional cognitive load, especially for exploratory or sensemaking tasks such as …

Whenever developers choose among alternative technical approaches, they make a design
decision. Collectively, design decisions shape how software implements its requirements …

A major problem in task-oriented conversational agents is the lack of support for the repair of
conversational breakdowns. Prior studies have shown that current repair strategies for these …

A key aspect of knowledge work is the analysis and manipulation of sets of related
documents. We conducted interviews with 12 patent examiners and 12 scientists and found …

People spend a significant amount of time trying to make sense of the internet, collecting
content from a variety of sources and organizing it to make decisions and achieve their …

Developers perform online sensemaking on a daily basis, such as researching and
choosing libraries and APIs. Prior research has introduced tools that help developers …

Deaf and Hard-of-Hearing (DHH) audiences have long complained about caption qualities
for many online videos created by individual content creators on video-sharing platforms …