Related Experiment Video
Updated: May 11, 2026
04:43
Visualizing Visual Adaptation
Published on: April 24, 2017
Choosing colors for map display icons using models of visual search
Joshua Shive1, Gregory Francis
1Tennessee State University, Department of Psychology, 3500 John A. Merritt Blvd., Nashville, TN 37029, USA. jshive@tnstate.edu
Human Factors
|May 23, 2013
Summary
This study demonstrates how visual search models can optimize map icon colors to reduce search time. By predicting search performance, these models offer a cost-effective design tool for enhancing icon visibility and user efficiency.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Information Visualization
Background:
- Visual search models predict search time based on target-distractor color distinctiveness and icon position on maps.
- Optimizing icon colors is crucial for efficient information retrieval in map displays.
Purpose of the Study:
- To demonstrate a method for selecting map icon colors that minimize visual search time.
- To utilize a visual search model for optimizing icon color selection in map design.
Main Methods:
- A visual search model was parameterized using empirical data from a visual search task.
- Optimization tasks were performed to identify icon colors that minimize predicted search time.
- Experimental validation and testing in novel search scenarios assessed the model's effectiveness and flexibility.
Main Results:
- The model accurately predicts human visual search performance.
- The optimization procedure successfully identified icon colors that reduce search time.
- The model demonstrated flexibility in assigning colors for novel stimuli without recalibration.
Conclusions:
- Visual search models provide effective guidance for choosing icon colors to reduce search time.
- Implementing visual search models is a low-cost strategy for evaluating and improving map display designs.
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