Traditional information systems return answers after a user submits a complete query. Users often feel "left in the dark" when they have limited knowledge about the underlying data, and have to use a try-and-see approach for finding information. The trend of supporting autocomplete in these systems is a first step towards solving this problem. A…

Explores the concepts of interaction and interactivity presented in different theoretical models in the fields of human-computer interaction (HCI) and information-seeking/searching behavior, and relates these to information retrieval (IR) research. Suggests that interaction in HCI is primarily concerned with establishing a user/system dialogue at…

This document presents a theoretical approach and a methodology for analyzing data from students interacting with and learning from hypermedia systems. Interactions are mutually influenced by individual students' goals and strategies and the actions supported by the interface of the learning environment. The approach is illustrated by modelling…

Presents a stratified model of information retrieval interaction that views interaction as a dialog between participants (user and computer) through an interface. Discusses traditional and interaction models, and extension to relevance, user modeling, search term selection, and types of feedback in information retrieval. (AEF)