Information seeking in electronic environments
Information seeking in electronic environments
Journal of the American Society for Information Science and Technology
Web Analytics: An Hour a Day
Theories of Information Behavior (Asist Monograph)
Theories of Information Behavior (Asist Monograph)
Exploratory Search
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Quantitative analysis of search sessions enhanced by gaze tracking with dynamic areas of interest
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
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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.