Content-based visualization for intelligent problem-solving environments

Jeff Yost, Andrew F. Varecka, Michael M. Marefat

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Mechanisms are proposed to allow visualization to become an active agent in the problem-solving environment. Two main problems are addressed: dealing with too much data and allowing simulation steering. The agent solves these problems by extracting semantically interesting data for spatial and temporal understanding, enabling a dynamic and flexible behavior for simulation-integrated control, and intelligently creating visualizations that intuitively display the selected data. A significant event language is proposed to capture the semantically interesting data through event expressions which can then be parsed and monitored. Behavior is achieved through programmable, hierarchical finite-state machines with events mapped to the arcs and interactions with the visualization and simulation mapped to the nodes. A knowledge-based data mapping process has been designed which uses visual perceptual knowledge and problem-specific knowledge represented in cognitive maps to create visualizations. This architecture has been applied within a watershed simulation application and a prototype has been developed.

Original languageEnglish (US)
Pages (from-to)409-441
Number of pages33
JournalInternational Journal of Human Computer Studies
Issue number4
StatePublished - Apr 1997

ASJC Scopus subject areas

  • Software
  • General Engineering
  • Education
  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Hardware and Architecture


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