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Age differences in central (semantic) and peripheral processing: the importance of considering both response times
Philip A Allen1, Martin D Murphy, Miron Kaufman
1Department of Psychology, The University of Akron, CAS 364, Akron, OH 44325-4301, USA. paallen@uakron.edu
Summary
Older adults exhibit slower visual word recognition, particularly in peripheral processing, but show no decline in central processing compared to younger adults. This study used reaction time and accuracy to analyze age-related cognitive differences.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Aging Research
Background:
- Visual word recognition is crucial for language processing.
- Age-related cognitive changes can impact various aspects of perception and cognition.
- Previous studies on age effects in word recognition yielded conflicting results when analyzing reaction time and accuracy separately.
Purpose of the Study:
- To investigate the effects of adult age on visual word recognition.
- To reconcile contradictory findings from separate analyses of reaction time and accuracy.
- To differentiate age-related changes in peripheral versus central processing during lexical decision.
Main Methods:
- Conducted a lexical decision task experiment with younger and older adult participants.
- Employed combined reaction time (RT) and accuracy measures, applying the Hick-Hyman law.
- Transformed error data into entropy to predict RT, analyzing effects of exposure duration (peripheral) and word frequency (central).
Main Results:
- Older adults demonstrated higher intercepts and slopes for exposure duration, indicating a peripheral encoding decrement.
- Older adults showed higher intercepts but not steeper slopes for word frequency, suggesting no central processing decrement.
- Combined RT and entropy analyses provided a unified view of age-related processing differences.
Conclusions:
- Adult aging is associated with a decrement in peripheral visual processing during word recognition.
- Central processing, specifically related to word frequency, appears unaffected by adult aging in this context.
- The Hick-Hyman law, when combined with entropy-based error analysis, offers a robust method for examining age-related cognitive function.