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Session Viewer: Visual Exploratory Analysis of Web Session Logs

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4 Author(s)
Heidi Lam ; University of British Columbia, Google, Inc. e-mail: hllam@cs.ubc.ca ; Daniel Russell ; Diane Tang ; Tamara Munzner

Large-scale session log analysis typically includes statistical methods and detailed log examinations. While both methods have merits, statistical methods can miss previously unknown sub- populations in the data and detailed analyses may have selection biases. We therefore built Session Viewer, a visualization tool to facilitate and bridge between statistical and detailed analyses. Taking a multiple-coordinated view approach, Session Viewer shows multiple session populations at the Aggregate, Multiple, and Detail data levels to support different analysis styles. To bridge between the statistical and the detailed analysis levels, Session Viewer provides fluid traversal between data levels and side-by-side comparison at all data levels. We describe an analysis of a large-scale web usage study to demonstrate the use of Session Viewer, where we quantified the importance of grouping sessions based on task type.

Published in:

Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on

Date of Conference:

Oct. 30 2007-Nov. 1 2007