Progressive multiples for communication-minded visualization

This paper describes a communication-minded visualization called progressive multiples that supports both the forensic analysis and presentation of multidimensional event data. We combine ideas from progressive disclosure, which reveals data to the user on demand, and small multiples [21], which allows users to compare many images at once. Sets of events are visualized as timelines. Events are placed in temporal order on the x-axis, and a scalar dimension of the data is mapped to the y-axis. To support forensic analysis, users can pivot from an event in an existing timeline to create a new timeline of related events. The timelines serve as an exploration history, which has two benefits. First, this exploration history allows users to backtrack and explore multiple paths. Second, once a user has concluded an analysis, these timelines serve as the raw visual material for composing a story about the analysis. A narrative that conveys the analytical result can be created for a third party...

• Type: Conference
• Year: 2007
• Where: GRAPHICSINTERFACE
• Authors: Doantam Phan, Andreas Paepcke, Terry Winograd
• Keywords: Computer Graphics, Exploration History, Forensic Analysis, GRAPHICSINTERFACE 2007, User