A two-stage stochastic model of limitations in human visual information processing

R. Darin Ellis; M. Jeya Chandra

doi:10.1109/3468.485751

A two-stage stochastic model of limitations in human visual information processing

R. Darin Ellis
, M. Jeya Chandra

Harold and Inge Marcus Department of Industrial and Manufacturing Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English (US)
Pages (from-to)	248-253
Number of pages	6
Journal	IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
Volume	26
Issue number	2
DOIs	https://doi.org/10.1109/3468.485751
State	Published - 1996

All Science Journal Classification (ASJC) codes

Software
Control and Systems Engineering
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/3468.485751

Cite this

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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).",

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ER -

A two-stage stochastic model of limitations in human visual information processing

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