People are susceptible to an array of cognitive biases, which can result in systematic errors
and deviations from rational decision making. Over the past decade, an increasing amount …

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 …

There is a rapid growth in the use of voice-controlled intelligent personal assistants on
mobile devices, such as Microsoft's Cortana, Google Now, and Apple's Siri. They …

User engagement has become an important outcome measure in interactive information
retrieval (IIR) research, as commercial (eg, search engines and e-commerce companies) …

In this paper, we investigate the relationship between searching and learning, by
conceptualizing information seeking as a learning process, and learning as an outcome of …

Modern information-seeking systems are becoming more interactive, mainly through asking
Clarifying Questions (CQs) to refine users' information needs. System-generated CQs may …

The importance of tasks in information retrieval (IR) has been long argued for, addressed in
different ways, often ignored, and frequently revisited. For decades, scholars made a case …

The use of clarifying questions (CQs) is a fairly new and useful technique to aid systems in
recognizing the intent, context, and preferences behind user queries. Yet, understanding the …

Information retrieval systems aim to help users satisfy information needs. We argue that the
goal of the person using the system, and the pattern of behavior that they exhibit as they …

People often search for information in order to learn something new. In recent years, the
“search-as-learning” movement has argued that search systems should be better designed …