@article{516e159c6f044b2cbb1eaed04ecdf40a,
title = "A two-stage stochastic model of limitations in human visual information processing",
abstract = "A stochastic model of perceptual encoding is formulated and derived for the purpose of extending an existing queuing model of the central decision-making stage of visual information processing. The new combined model can account for processing capacity limitations that arise from both perceptual and central-processing limitations. The new model provided an acceptable parameter fit to extant data.",
author = "Ellis, {R. Darin} and Chandra, {M. Jeya}",
note = "Funding Information: Rather than continuing the search for a structural bottleneck or the locus of a resource limitation, more recent information processing research has discovered that capacity limitations are related to the type of processing involved; visual information processing occurs on a continuum from controlled to automatic [20]. Controlled processing explains results from variably mapped (VM) visual search tasks in which targets and distractors change from trial to trial. In VM tasks, Manuscript received August 27, 1993; revised July 20, 1994, and April 23, 1995. This work was supported by an NIA Research Traineeship (National Institute on Aging Grant T32-AGO0048 to The Pennsylvania State University).",
year = "1996",
doi = "10.1109/3468.485751",
language = "English (US)",
volume = "26",
pages = "248--253",
journal = "IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans",
issn = "1083-4427",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",
}