Partial Repetition Costs are Reduced but not Eliminated with Practice

• Published in: Journal of cognition Vol. 5; no. 1; p. 37
• Main Authors: Fournier, Lisa R., Richardson, Benjamin P., Logan, Gordon D.
• Format: Journal Article
• Language: English
• Published: Ubiquity Press 23.06.2022
• Subjects: action planning; automaticity; chunking; code confusion; compatibility interference; event coding; feature binding; interruptions; memory models; partial repetition costs; practice
• ISSN: 2514-4820; 2514-4820
• DOI: 10.5334/joc.230

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 are caused by 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.