Application of Session Analysis to Search Interface Design

Abstract

Evaluations of search features used in digital library environments are generally results centric, focussing on the outcome of an evaluation - for example, the number of relevant documents retrieved - rather than garnering an understanding of why that result was achieved. This paper explores how search feature development benefits from user-centered evaluation. By examining the application of an established web analytics technique, session analysis, to the development of search features and interfaces, it will be shown that designers can better understand how users conduct evaluation tasks. The feedback provided by this technique allows for clearer evaluation of an interface and admits iteratively evolving designs that are based on empirical data.