Title
Area activation: a computational model of saccadic selectivity in visual search
Abstract
The Area Activation Model (Pomplun, Reingold, Shen, & Williams, 2000) is a computational model predicting the statistical distribution of saccadic endpoints in visual search tasks. Its basic assumption is that saccades in visual search tend to foveate display areas that provide a maximum amount of task-relevant information for processing during the subsequent fixation. In the present study, a counterintuitive prediction by the model is empirically tested, namely that saccadic selectivity towards stimulus features depends on the spatial arrangement of search items. We find good correspondence between simulated and empirically observed selectivity patterns, providing strong support for the Area Activation Model.
Year
DOI
Venue
2003
10.1016/S0364-0213(03)00003-X
Cognitive Science
Keywords
Field
DocType
Visual search,Eye movements,Saccadic selectivity,Computational modeling,Simulation
Visual search,Cognitive psychology,Eye movement,Artificial intelligence,Stimulus (physiology),Saccadic masking,Cognition,Counterintuitive,Computer vision,Pattern recognition,Psychology,Perception,Visual search tasks
Journal
Volume
Issue
ISSN
27
2
0364-0213
Citations 
PageRank 
References 
9
0.94
2
Authors
3
Name
Order
Citations
PageRank
Marc Pomplun121531.83
Eyal M. Reingold2273.12
Jiye Shen390.94