A standard form of citation of this article is:
Kornhauser, Daniel, Wilensky, Uri and Rand, William (). 'Design Guidelines for Agent Based Model Visualization'. Journal of Artificial Societies and Social Simulation 12(2)1 <https://www.jasss.org/12/2/1.html>.
The following can be copied and pasted into a Bibtex bibliography file, for use with the LaTeX text processor:
@article{kornhauser,
title = {Design Guidelines for Agent Based Model Visualization},
author = {Kornhauser, Daniel and Wilensky, Uri and Rand, William},
journal = {Journal of Artificial Societies and Social Simulation},
ISSN = {1460-7425},
volume = {12},
number = {2},
pages = {1},
year = {},
URL = {https://www.jasss.org/12/2/1.html},
keywords = {Visualization, Design, Graphics, Guidelines, Communication, Agent-Based Modeling},
abstract = {In the field of agent-based modeling (ABM), visualizations play an important role in identifying, communicating and understanding important behavior of the modeled phenomenon. However, many modelers tend to create ineffective visualizations of Agent Based Models (ABM) due to lack of experience with visual design. This paper provides ABM visualization design guidelines in order to improve visual design with ABM toolkits. These guidelines will assist the modeler in creating clear and understandable ABM visualizations. We begin by introducing a non-hierarchical categorization of ABM visualizations. This categorization serves as a starting point in the creation of an ABM visualization. We go on to present well-known design techniques in the context of ABM visualization. These techniques are based on Gestalt psychology, semiology of graphics, and scientific visualization. They improve the visualization design by facilitating specific tasks, and providing a common language to critique visualizations through the use of visual variables. Subsequently, we discuss the application of these design techniques to simplify, emphasize and explain an ABM visualization. Finally, we illustrate these guidelines using a simple redesign of a NetLogo ABM visualization. These guidelines can be used to inform the development of design tools that assist users in the creation of ABM visualizations.},
}The following can be copied and pasted into a text file, which can then be imported into a reference database that supports imports using the RIS format, such as Reference Manager and EndNote.
TY - JOUR
TI - Design Guidelines for Agent Based Model Visualization
AU - Kornhauser, Daniel
AU - Wilensky, Uri
AU - Rand, William
Y1 -
JO - Journal of Artificial Societies and Social Simulation
SN - 1460-7425
VL - 12
IS - 2
SP - 1
UR - https://www.jasss.org/12/2/1.html
KW - Visualization
KW - Design
KW - Graphics
KW - Guidelines
KW - Communication
KW - Agent-Based Modeling
N2 - In the field of agent-based modeling (ABM), visualizations play an important role in identifying, communicating and understanding important behavior of the modeled phenomenon. However, many modelers tend to create ineffective visualizations of Agent Based Models (ABM) due to lack of experience with visual design. This paper provides ABM visualization design guidelines in order to improve visual design with ABM toolkits. These guidelines will assist the modeler in creating clear and understandable ABM visualizations. We begin by introducing a non-hierarchical categorization of ABM visualizations. This categorization serves as a starting point in the creation of an ABM visualization. We go on to present well-known design techniques in the context of ABM visualization. These techniques are based on Gestalt psychology, semiology of graphics, and scientific visualization. They improve the visualization design by facilitating specific tasks, and providing a common language to critique visualizations through the use of visual variables. Subsequently, we discuss the application of these design techniques to simplify, emphasize and explain an ABM visualization. Finally, we illustrate these guidelines using a simple redesign of a NetLogo ABM visualization. These guidelines can be used to inform the development of design tools that assist users in the creation of ABM visualizations.
ER -