The way in which users interact with information depends on their relationship with both the content and the application context. All three – users, content and application context – tend to be studied in isolation. The main challenges are to obtain real-world data about each of these subjects for a given information system, and to develop methods that allow all three data sources to be modeled and analysed in an integrative approach.
Our Information Access group studies user interactions on representative web sites and explicitly models the complex user interfaces of modern search engines in the context of the properties of the content searched and the tasks of its users. This provides content owners and search-engine developers with deeper insights about how users interact with large data collections, and which factors play a role in successful interactions.
The tools we develop allow organizations to monitor global search-engine performance and to understand how specific user needs are met. Visualizations display the relationships between what users have searched for, and what they actually sfind.
Contact person: Laura Hollink
Research group: Information Access (IA)
Research partners: ADS, Rijksmuseum, National Library, Beeld & Geluid, Spinque, eHumanities.nl