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Instance-based automaticity and aging: acquisition, reacquisition, and long-term retention.

L Jenkins1, W J Hoyer

  • 1Department of Psychology, University of North Carolina at Wilmington, 28403, USA. jenkinsl@uncwil.edu

Psychology and Aging
|October 3, 2000
PubMed
Summary
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Older adults need more practice to develop automaticity compared to younger adults. Age differences also appear in retaining and reacquiring automaticity over time.

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human Development

Background:

  • Automaticity, the ability to perform tasks with minimal cognitive effort, is crucial for daily functioning.
  • Understanding age-related changes in automaticity acquisition and retention is vital for cognitive health research.

Purpose of the Study:

  • To investigate age differences in the acquisition and reacquisition of instance-based automaticity.
  • To explore how target and distractor modifications affect performance across age groups.
  • To examine long-term retention and reacquisition rates of automaticity in older versus younger adults.

Main Methods:

  • Two experiments involving young and older adults enumerating targets in displays with or without distractors.
  • Training participants to achieve instance-based automaticity.

Related Experiment Videos

  • Assessing performance after modifications to target/distractor identities and locations.
  • Re-testing participants after an 18-month interval.
  • Main Results:

    • Older adults required more practice than young adults to reach asymptote in automaticity acquisition.
    • Performance was disrupted by target modifications but not distractor modifications, with no age differences in memory representations at asymptote.
    • Older adults showed deficits in long-term retention and slower reacquisition of automaticity.

    Conclusions:

    • While underlying memory representations may be similar, older adults face challenges in acquiring and reacquiring automaticity.
    • Age-related declines impact the efficiency of learning and retaining automated skills.
    • Findings highlight the importance of considering age in cognitive training and rehabilitation strategies.