TimeSets: Timeline visualization with set relations

In this article, we introduce a novel timeline visualization technique, TimeSets, that helps make sense of complex temporal datasets by showing the set relationships among individual events. TimeSets visually groups events that share a topic, such as a place or a person, while preserving their tempo...

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Bibliographic Details
Published inInformation visualization Vol. 15; no. 3; pp. 253 - 269
Main Authors Nguyen, Phong H, Xu, Kai, Walker, Rick, Wong, BL William
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.07.2016
SAGE PUBLICATIONS, INC
Subjects
Adjustment
Biographies
Data visualization
Datasets
Design analysis
Displays
Medical records
Preserving
Principles
Readability
Visualization
United Kingdom > UK
New York
United States > US
time-series data visualization
set visualization
Timeline
Online AccessGet full text

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Summary:In this article, we introduce a novel timeline visualization technique, TimeSets, that helps make sense of complex temporal datasets by showing the set relationships among individual events. TimeSets visually groups events that share a topic, such as a place or a person, while preserving their temporal order. It dynamically adjusts the level of detail for each event to suit the amount of information and display estate. Various design options were explored to address issues such as one event belonging to multiple topics. A controlled experiment was conducted to evaluate its effectiveness by comparing it to the KelpFusion method. The results showed significant advantage in accuracy and user preference.
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ISSN:1473-8716
1473-8724
DOI:10.1177/1473871615605347