SDViz: A context-preserving interactive visualization system for technical diagrams

Insoo Woo, Sung Ye Kim, Ross MacIejewski, David S. Ebert, Timothy D. Ropp, Krystal Thomas

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


When performing daily maintenance and repair tasks, technicians require access to a variety of technical diagrams. As technicians trace components and diagrams from page-to-page, within and across manuals, the contextual information of the components they are analyzing can easily be lost. To overcome these issues, we have developed a Schematic Diagram Visualization System (SDViz) designed for maintaining and highlighting contextual information in technical documents, such as schematic and wiring diagrams. Our system incorporates various features to aid in the navigation and diagnosis of faults, as well as maintaining contextual information when tracing components/ connections through multiple diagrams. System features include highlighting relationships between components and connectors, diagram annotation tools, the animation of flow through the system, a novel contextual blending method, and a variety of traditional focus+context visualization techniques. We have evaluated the usefulness of our system through a qualitative user study in which subjects utilized our system in diagnosing faults during a standard aircraft maintenance exercise.

Original languageEnglish (US)
Pages (from-to)943-950
Number of pages8
JournalComputer Graphics Forum
Issue number3
StatePublished - Jun 2009
Externally publishedYes

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design


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