This paper investigates the significant impact different prompts have on the behaviour of
ChatGPT when used for health information seeking. As people more and more depend on …

To study the impact of providing direct answers in search results on user behavior, we
conducted a controlled user study to analyze factors including reading time, eye-tracked …

Quality of search engine results returned to health-related questions is very critical, since a
searcher may directly trust any suggestion in the top results. We analyze search questions …

The Archive Query Log (AQL) is a previously unused, comprehensive query log collected at
the Internet Archive over the last 25 years. Its first version includes 356 million queries, 137 …

In the scenario of health-related searches, we investigate whether explicit relevance
feedback by experts can guide query expansion methods to formulate queries that return …

We present the IR Anthology, a corpus of information retrieval publications accessible via a
metadata browser and a full-text search engine. Following the example of the well-known …

Fine-grained logging of interactions in user studies is important for studying user behaviour,
among other reasons. However, in many research scenarios, the way interactions are …

Previous research has found that improved search engine effectiveness—evaluated using a
batch‐style approach—does not always translate to significant improvements in user task …

This paper investigates methods to rank health cards, a domain-specific type of entity cards,
for consumer health search (CHS) queries. A key challenge in this context is which card (s) …

Purpose The purpose of this paper is to understand how users behave and evaluate how
systems with users are essential for interactive information retrieval (IIR) research. User …