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Cervino Beresi, Ulises; Kim, Yunhyong; Baillie, Mark; Ruthven, Ian and Song, Dawei
(2010).
URL: http://link.springer.com/chapter/10.1007/978-3-642...
Abstract
In this article we introduce a visualisation technique for analysing relevance and interaction data. It allows the researcher to quickly detect emerging patterns in both interactions and relevance criteria usage. The concept of ”relevance criteria profile”, which provides a global view of user behaviour in judging the relevance of the retrieved information, is developed. We discuss by example, using data from a live search user study, how these tools support the data analysis.