In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …

Eye-tracking research is beneficial for better understanding user behaviour in search
engines. The present paper presents a comprehensive narrative literature review of eye …

Neural ranking models for information retrieval (IR) use shallow or deep neural networks to
rank search results in response to a query. Traditional learning to rank models employ …

In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the
context of information retrieval (IR). Modern IR systems can benefit from information …

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 …

Voice-controlled intelligent personal assistants, such as Cortana, Google Now, Siri and
Alexa, are increasingly becoming a part of users' daily lives, especially on mobile devices …

Neural ranking models for information retrieval (IR) use shallow or deep neural networks to
rank search results in response to a query. Traditional learning to rank models employ …

Appearance-based gaze estimation methods that only require an off-the-shelf camera have
significantly improved but they are still not yet widely used in the human-computer …

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 …

The growing popularity of mobile search and the advancement in voice recognition
technologies have opened the door for web search users to speak their queries, rather than …