Aging and the rate of visual information processing Article Swipe
Duncan Guest
,
Christina J. Howard
,
Louise A. Brown
,
Harriet Gleeson
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1167/15.14.10
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.1167/15.14.10
Multiple methods exist for measuring how age influences the rate of visual information processing. The most advanced methods model the processing dynamics in a task in order to estimate processing rates independently of other factors that might be influenced by age, such as overall performance level and the time at which processing onsets. However, such modeling techniques have produced mixed evidence for age effects. Using a time-accuracy function (TAF) analysis, Kliegl, Mayr, and Krampe (1994) showed clear evidence for age effects on processing rate. In contrast, using the diffusion model to examine the dynamics of decision processes, Ratcliff and colleagues (e.g., Ratcliff, Thapar, & McKoon, 2006) found no evidence for age effects on processing rate across a range of tasks. Examination of these studies suggests that the number of display stimuli might account for the different findings. In three experiments we measured the precision of younger and older adults' representations of target stimuli after different amounts of stimulus exposure. A TAF analysis found little evidence for age differences in processing rate when a single stimulus was presented (Experiment 1). However, adding three nontargets to the display resulted in age-related slowing of processing (Experiment 2). Similar slowing was observed when simply presenting two stimuli and using a post-cue to indicate the target (Experiment 3). Although there was some interference from distracting objects and from previous responses, these age-related effects on processing rate seem to reflect an age-related difficulty in processing multiple objects, particularly when encoding them into visual working memory.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1167/15.14.10
- https://jov.arvojournals.org/arvo/content_public/journal/jov/934563/i1534-7362-15-14-10.pdf
- OA Status
- gold
- Cited By
- 37
- References
- 86
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2099641731
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2099641731Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1167/15.14.10Digital Object Identifier
- Title
-
Aging and the rate of visual information processingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-10-16Full publication date if available
- Authors
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Duncan Guest, Christina J. Howard, Louise A. Brown, Harriet GleesonList of authors in order
- Landing page
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https://doi.org/10.1167/15.14.10Publisher landing page
- PDF URL
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https://jov.arvojournals.org/arvo/content_public/journal/jov/934563/i1534-7362-15-14-10.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://jov.arvojournals.org/arvo/content_public/journal/jov/934563/i1534-7362-15-14-10.pdfDirect OA link when available
- Concepts
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Stimulus (psychology), Information processing, Visual processing, Psychology, Audiology, Cognitive psychology, Computer science, Neuroscience, Perception, MedicineTop concepts (fields/topics) attached by OpenAlex
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37Total citation count in OpenAlex
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2025: 2, 2024: 5, 2023: 3, 2022: 1, 2021: 5Per-year citation counts (last 5 years)
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86Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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