Applying models of visual search to map display design

Authors:
Joshua Shive;Gregory Francis
Affiliations:
Department of Psychological Sciences, Purdue University, 703, Third Street, Lafayette, IN47907, USA;Department of Psychological Sciences, Purdue University, 703, Third Street, Lafayette, IN47907, USA
Venue:
International Journal of Human-Computer Studies
Year:
2008

Citing 6
Cited 0

Automating the design of graphical presentations of relational information

ACM Transactions on Graphics (TOG)
Choosing effective colours for data visualization

Proceedings of the 7th conference on Visualization '96
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Information visualization: perception for design

Information visualization: perception for design
The emergence of attention by population-based inference and its role in distributed processing and cognitive control of vision

Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
An integrated model of eye movements and visual encoding

Cognitive Systems Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

We explored how to use a computational model of visual search to design a map of a mall directory. We parameterized the Guided Search model [Wolfe, J.M., 1994. Guided Search 2.0: a revised model of visual search. Psychonomic Bulletin and Review 1(2), 202-238] for a task involving visual search of a target store in a map. The resulting model was then used to choose color assignments for all the elements of the display that would result in the fastest average search time for the display and search tasks. These predicted optimized color assignments were then tested empirically. The empirical data closely matched the predicted pattern of search times. We conclude that computational models of visual search are sophisticated enough to contribute to the development of optimized map designs, discuss some limitations of the current models, and suggest directions for further development.