Using aggregation and dynamic queries for exploring large data sets
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The movable filter as a user interface tool
CHI '94 Conference Companion on Human Factors in Computing Systems
Programming languages for distributed applications
New Generation Computing
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Excentric labeling: dynamic neighborhood labeling for data visualization
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Multiagent systems
Jazz: an extensible zoomable user interface graphics toolkit in Java
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Snap-together visualization: can users construct and operate coordinated visualizations?
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
QTk - A Mixed Declarative/Procedural Approach for Designing Executable User Interfaces
EHCI '01 Proceedings of the 8th IFIP International Conference on Engineering for Human-Computer Interaction
Advanced agent discovery services
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
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As scientists from various domains increasingly resort to agent-based simulation for a more thorough understanding of real-world phenomena, the need for a simulation environment that facilitates rapid development of multi-agent systems is growing. Such a platform should provide means of visualizing the simulated scenario. In this paper we present the agent visualization system, the first system of its kind to specifically focus on catering to the visualization needs of agent-based simulation. The proposed system is a generic add-on that equips a simulation environment with a rich set of visualization facilities offering a variety of textual and graphical browsers that allow the modeler to detect trends and relationships in the simulation scenario. Some techniques from the field of information visualization were adapted and added to the system, while others were devised especially to be used in it. Regardless of their origin, all visualization techniques were thoroughly revised to make them generic enough to fit in our generic system. Agent visualization is more challenging than traditional information visualization in more than one respect. One of them is that the data to be visualized is not static; the simulation system is constantly producing data with every time step. Moreover, the sheer amount of data, together with its diversity, call for special adaptations to ensure that the system remains responsive and generic. To illustrate the various features of the proposed agent visualization system, we present a visualization of MicroTerra; a simulation scenario involving a group of beings trying to maximize their food intake.