Dataset
Supplementary Data For Partial Repetition Costs Are Reduced but Not Eliminated with Practice
Washington State University
2022
DOI:
https://doi.org/10.7273/000001465
Abstract
Often, we depart from an intended course of events to react to sudden situational demands (an intervening event) before resuming the originally planned action. Executing an action to an intervening event can be delayed if the features of this action plan partly overlap with an action plan retained in working memory (WM) compared to when they completely overlap or do not overlap. This delay is referred to as a partial repetition cost (PRC). PRCs are typically attributed to code confusion between action plans in WM. We tested this by training the component action plans extensively to reduce their reliance on WM. If PRCs depend on code confusion within WM, then PRCs should be reduced and possibly eliminated with extensive practice. To test this, participants performed a partial repetition (PR) task after 0, 4 and 8.5 sessions of stimulus-response (S-R) training. In the PR task, participants saw two visual events. They retained an action to the first event while executing a speeded action to a second (intervening) event; afterwards, they executed the retained action. The two action plans either partly overlapped or did not overlap. Results showed that extensive (S-R and PR task) practice reduced but did not eliminate PRCs. A reduction in PRCs (code confusion) with practice is compatible with memory models that assume action events become more specific and less reliant on WM with practice. These findings merit expansions of PR tasks to other domains and broader conceptions of action plans that incorporate the formal structure of memory models.
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Details
- Title
- Supplementary Data For Partial Repetition Costs Are Reduced but Not Eliminated with Practice
- Creators
- Lisa R. Fournier (Author) - Washington State University, Psychology, Department ofBenjamin P. Richardson (Author) - Washington State University, Psychology, Department ofGordon D Logan (Author) - Vanderbilt University
- Academic Unit
- Psychology, Department of
- Publisher
- Washington State University
- Identifiers
- 99900620455401842
- Language
- English
- Resource Type
- Dataset