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2016 IEEE Conference on Visual Analytics Science and Technology (VAST) (2016)
Baltimore, MD, USA
Oct. 23, 2016 to Oct. 28, 2016
ISBN: 978-1-5090-5662-0
pp: 141-150
Tanja Blascheck , University of Stuttgart, Germany
Fabian Beck , University of Stuttgart, Germany
Sebastian Baltes , University of Trier, Germany
Thomas Ertl , University of Stuttgart, Germany
Daniel Weiskopf , University of Stuttgart, Germany
Investigating user behavior involves abstracting low-level events to higher-level concepts. This requires an analyst to study individual user activities, assign codes which categorize behavior, and develop a consistent classification scheme. To better support this reasoning process of an analyst, we suggest a novel visual analytics approach which integrates rich user data including transcripts, videos, eye movement data, and interaction logs. Word-sized visualizations embedded into a tabular representation provide a space-efficient and detailed overview of user activities. An analyst assigns codes, grouped into code categories, as part of an interactive process. Filtering and searching helps to select specific activities and focus an analysis. A comparison visualization summarizes results of coding and reveals relationships between codes. Editing features support efficient assignment, refinement, and aggregation of codes. We demonstrate the practical applicability and usefulness of our approach in a case study and describe expert feedback.
Encoding, Data visualization, Cognition, Visual analytics, Tag clouds

T. Blascheck, F. Beck, S. Baltes, T. Ertl and D. Weiskopf, "Visual analysis and coding of data-rich user behavior," 2016 IEEE Conference on Visual Analytics Science and Technology (VAST), Baltimore, MD, USA, 2016, pp. 141-150.
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