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Issue No. 06 - November/December (2009 vol. 15)
ISSN: 1077-2626
pp: 1049-1056
Neil Spring , Dept. of Computer Science, University of Maryland at College Park
Catherine Plaisant , Human-Computer Interaction Lab and Dept. of Computer Science, University of Maryland at College Park
Greg Marchand , ER One Institute, Washington Hospital Center, Medstar Health
Taowei David Wang , Human-Computer Interaction Lab and Dept. of Computer Science, University of Maryland at College Park
Vikramjit Mukherjee , ER One Institute, Washington Hospital Center, Medstar Health
David Roseman , ER One Institute, Washington Hospital Center, Medstar Health
Ben Shneiderman , Human-Computer Interaction Lab and Dept. of Computer Science, University of Maryland at College Park
Mark Smith , ER One Institute, Washington Hospital Center, Medstar Health
ABSTRACT
When analyzing thousands of event histories, analysts often want to see the events as an aggregate to detect insights and generate new hypotheses about the data. An analysis tool must emphasize both the prevalence and the temporal ordering of these events. Additionally, the analysis tool must also support flexible comparisons to allow analysts to gather visual evidence. In a previsous work, we introduced align, rank, and filter (ARF) to accentuate temporal ordering. In this paper, we present temporal summaries, an interactive visualization technique that highlights the prevalence of event occurrences. Temporal summaries dynamically aggregate events in multiple granularities (year, month, week, day, hour, etc.) for the purpose of spotting trends over time and comparing several groups of records. They provide affordances for analysts to perform temporal range filters. We demonstrate the applicability of this approach in two extensive case studies with analysts who applied temporal summaries to search, filter, and look for patterns in electronic health records and academic records.
INDEX TERMS
Information Visualization, Interaction design, Human-computer interaction, temporal categorical data visualization
CITATION
Neil Spring, Catherine Plaisant, Greg Marchand, Taowei David Wang, Vikramjit Mukherjee, David Roseman, Ben Shneiderman, Mark Smith, "Temporal Summaries: Supporting Temporal Categorical Searching, Aggregation and Comparison", IEEE Transactions on Visualization & Computer Graphics, vol. 15, no. , pp. 1049-1056, November/December 2009, doi:10.1109/TVCG.2009.187
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