LifeFlow: visualizing an overview of event sequences (video preview)

Authors:
Krist Wongsuphasawat;John Alexis Guerra Gómez;Catherine Plaisant;Taowei Wang;Meirav Taieb-Maimon;Ben Shneiderman
Affiliations:
University of Maryland, College Park, MD, USA;University of Maryland, College Park, MD, USA;University of Maryland, College Park, MD, USA;University of Maryland, College Park, MD, USA;Ben-Gurion University of the Negev, Beer-Sheva, Israel;University of Maryland, College Park, MD, USA
Venue:
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Year:
2011

Citing 3
Cited 1

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LifeFlow: visualizing an overview of event sequences

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Abstract

Event sequence analysis is an important task in many domains: medical researchers may study the patterns of transfers within the hospital for quality control; transportation experts may study accident response logs to identify best practices. In many cases they deal with thousands of records. While previous research has focused on searching and browsing, overview tasks are often overlooked. We introduce a novel interactive visual overview of event sequences called LifeFlow. LifeFlow is scalable, can summarize all possible sequences, and represents the temporal spacing of the events within sequences. In this video, we show an example of patient transfer data and briefly demonstrate how to analyze them with LifeFlow. Please see [11] or visit http:www.cs.umd.eduhcillifeflow for more detail.