ArticlePsychological research2019
Differences in chunking behavior between young and older adults diminish with extended practice.
Article in Psychological research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Multimodal mobile brain and body imaging for quantification of dance motor sequence learning.MethodsX · 2025Article
- C-SMB 2.0: Integrating over 25 years of motor sequencing research with the Discrete Sequence Production task.Psychonomic bulletin & review · 2024Review
- Dissecting motor skill acquisition: Spatial coordinates take precedence.Science advances · 2022Article
- Keeping in step with the young: Chronometric and kinematic data show intact procedural locomotor sequence learning in older adults.PloS one · 2022Article
- Regular participation in leisure time activities and high cardiovascular fitness improve motor sequence learning in older adults.Psychological research · 2021Article
- Motor Chunking in Internally Guided Sequencing.Brain sciences · 2021Article
- Skill in discrete keying sequences is execution rate specific.Psychological research · 2019Article
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3 authors.
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Abstract
Previous research found reduced motor chunking behavior in older adults compared to young adults. However, it remains unclear whether older adults are unable to use a chunking strategy or whether they are just slower in developing them. Our goal was to investigate the effect of extended practice on the development of chunking behavior in healthy older adults. A group of young and a group of healthy older adults between 74 and 85 years of age visited the lab on 2 days. A sequence of 3 and a sequence of 6 elements were both practiced 432 times in a discrete sequence production task. We found that age differences in chunking behavior, as measured by the difference between initiation and execution of the sequence, diminish with extended practice. Furthermore, in older, but not in young adults, slow responses that are often interpreted as the first response of a next motor chunk were associated with a finger that was also slow during performance of the random sequences. This finding calls for more attention to biomechanical factors in future theory about aging and sequence learning.
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