@article{ref1,
title="Predicting age-related differences in visual information processing using a two-stage queuing model",
journal="Journals of gerontology. Series B: psychological sciences and social sciences",
year="1996",
author="Detweiler, M. C. and Goldberg, J. H. and Ellis, R. D.",
volume="51",
number="3",
pages="155-165",
abstract="Recent work on age-related differences in some types of visual information processing has qualitatively stated that younger adults are able to develop parallel processing capability, while older adults remain serial processors. A mathematical model based on queuing theory was used to quantitatively predict and parameterize age-related differences in the perceptual encoding and central decision-making aspects of a multiple-frame search task. Statistical results indicated main effects for frame duration, display load, age group, and session of practice. Comparison of the full model and a restricted model indicated an efficient contribution of the encoding speed parameter. The best-fitting parameter set indicated that (1) younger participants processed task information with a two-channel parallel system, while older participants were serial processors; and (2) perceptual encoding had a large impact on age-related differences in task performance. Results are discussed with implications for human factors design principles.<p /> <p>Language: en</p>",
language="en",
issn="1079-5014",
doi="",
url="http://dx.doi.org/"
}