Scholars who want to research a scientific topic must take time to read, extract meaning, and
identify connections across many papers. As scientific literature grows, this becomes …

We critically review literature on the association between searching and learning and
contribute to the formulation of a research agenda for searching as learning. The paper …

Conversational information seeking (CIS) is concerned with a sequence of interactions
between one or more users and an information system. Interactions in CIS are primarily …

Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …

People are increasingly turning to large language models (LLMs) for complex information
tasks like academic research or planning a move to another city. However, while they often …

Search systems, like many other applications of machine learning, have become
increasingly complex and opaque. The notions of relevance, usefulness, and …

General visualization tools typically require manual specification of views: analysts must
select data variables and then choose which transformations and visual encodings to apply …

The considerable previous work characterizing visualization usage has focused on low-level
tasks or interactions and high-level tasks, leaving a gap between them that is not addressed …

Visual data analysis involves both open-ended and focused exploration. Manual chart
specification tools support question answering, but are often tedious for early-stage …

The success or failure of social media is highly dependent on the active participation of its
users. In order to examine the influential factors that inspire dynamic and eager participation …