Automatic versus intentional uses of memory: Aging, attention, and control.
Abstract
In 2 experiments, the authors used a process dissociation procedure (Jacoby, 1991) to separately examine the effects of aging on automatic and consciously controlled memory processes. In Experiment 1, a group of young adults in either a full-attention or divided-attention condition were compared with a group of elderly adults on a fame judgment task. Both age and divided attention had a detrimental effect on consciously controlled memory processing but left automatic processing intact. In Experiment 2, the same age-related pattern was found using a more demanding forced-choice recognition paradigm.
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Cited by (26)
- Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1Venkatesh, Viswanath, Thong, James Y. L., Xu, Xin · 2012 · MIS Quarterly
- The Nature of Recollection and Familiarity: A Review of 30 Years of ResearchYonelinas, Andrew P · 2002 · Journal of Memory and Language
- The adaptive brain: aging and neurocognitive scaffoldingPark, Denise C., Reuter-Lorenz, Patricia · 2009 · Annual Review of Psychology
- The restless mindSmallwood, Jonathan, Schooler, Jonathan W. · 2006 · Psychological Bulletin
- Socioemotional selectivity theory and the regulation of emotion in the second half of lifeCarstensen, Laura L., Fung, Helene H., Charles, Susan T. · 2003 · Motivation and Emotion
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Automatic versus intentional uses of memory: Aging, attention, and control. https://app.cochat.ai/papers/10.1037//0882-7974.8.2.283
- The paper
- Jennings, J. M., & Jacoby, L. L. (1993). Automatic versus intentional uses of memory: Aging, attention, and control. Psychology and Aging. https://doi.org/10.1037//0882-7974.8.2.283
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.