The relative ineffectiveness of information retrieval systems is largely caused by the
inaccuracy with which a query formed by a few keywords models the actual user information …

Substantial literature exists regarding how eye-tracking systems can be used to measure
cognitive load and how these measurements can be useful for adapting training in real time …

User engagement refers to the quality of the user experience that emphasizes the positive
aspects of interacting with an online application and, in particular, the desire to use that …

Information seeking is a fundamental human activity. In the modern world, it is frequently
conducted through interactions with search systems. The retrieval and comprehension of …

In information retrieval, query auto completion (QAC), also known as typeahead [Xiao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …

Pseudo-relevance feedback is an effective technique for improving retrieval results.
Traditional feedback algorithms use a whole feedback document as a unit to extract words …

Result clickthrough statistics and dwell time on clicked results have been shown valuable for
inferring search result relevance, but the interpretation of these signals can vary …

An improved understanding of the relationship between search intent, result quality, and
searcher behavior is crucial for improving the effectiveness of web search. While recent …

A key problem in information retrieval is inferring the searcher's interest in the results, which
can be used for implicit feedback, query suggestion, and result ranking and summarization …

Reading is one of the most frequent activities of knowledge workers. Eye tracking can
provide information on what document parts users read, and how they were read. This …