IEEE VIS 2024 Content: A Literature-based Visualization Task Taxonomy for Gantt Charts

A Literature-based Visualization Task Taxonomy for Gantt Charts

Sayef Azad Sakin - University of Utah, Salt Lake City, United States

Katherine E. Isaacs - The University of Utah, Salt Lake City, United States

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Room: Bayshore VI

2024-10-17T13:15:00ZGMT-0600Change your timezone on the schedule page
2024-10-17T13:15:00Z
Exemplar figure, described by caption below
Gantt charts are popular in project planning, process scheduling, and progress tracking for visualizing interdependent temporal event sequences. Typically, data is organized by temporal order on one axis and the other by grouping events with relevant factors. Our literature-based visualization task taxonomy helps in designing Gantt charts with large number of events by aligning prevalent visual tasks with relevant data queries. These provide a foundation for identifying and developing data management strategies to scale up visual interactivity in Gantt Charts.
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Keywords

Gantt chart—Visualization—Task taxonomy

Abstract

Gantt charts are a widely-used idiom for visualizing temporal discrete event sequence data where dependencies exist between events. They are popular in domains such as manufacturing and computing for their intuitive layout of such data. However, these domains frequently generate data at scales which tax both the visual representation and the ability to render it at interactive speeds. To aid visualization developers who use Gantt charts in these situations, we develop a task taxonomy of low level visualization tasks supported by Gantt charts and connect them to the data queries needed to support them. Our taxonomy is derived through a literature survey of visualizations using Gantt charts over the past 30 years.