Visualizations in exploratory search: a user study with stock market information

Authors:
Daniel Hienert;Philipp Mayr
Affiliations:
GESIS -- Leibniz Institute for the Social Sciences, Unter Sachsenhausen, Cologne, Germany;GESIS -- Leibniz Institute for the Social Sciences, Unter Sachsenhausen, Cologne, Germany
Venue:
Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
Year:
2012

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Abstract

In this paper we present an approach that integrates interactive visualizations in the exploratory search process. In this model visualizations can act as hubs where large amounts of information are made accessible in easy user interfaces. Through interaction techniques this information can be combined with related information on the World Wide Web. We applied the new search concept to the domain of stock market information and conducted a user study. Participants could use this interface without instructions, could complete complex tasks like identifying related information items, link heterogeneous information types and use different interaction techniques to access related information more easily. In this way, users could quickly acquire knowledge in an unfamiliar domain.