Eye movements and search performance
Visual search 2
Cognitive strategies and eye movements for searching hierarchical computer displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An "active vision" computational model of visual search for human-computer interaction
An "active vision" computational model of visual search for human-computer interaction
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Experiments on visual search have demonstrated the existence of a relatively large and reliable memory for which objects have been fixated; an indication of this memory is that revisits (fixations on previously fixated objects) typically comprise only about 5% of fixations. Any cognitive architecture that supports visual search must account for where such memory resides in the system and how it can be used to guide eye movements in visual search. This paper presents a simple solution for the EPIC architecture that is consistent with the overall requirements for modeling visually-intensive tasks and other visual memory phenomena.