Between-item similarity frees up working memory resources through compression: A domain-general property
| Autor: | Kowialiewski, Benjamin, Lemaire, Benoît, Portrat, Sophie |
|---|---|
| Přispěvatelé: | University of Zurich, Kowialiewski, Benjamin |
| Rok vydání: | 2022 |
| Předmět: |
10093 Institute of Psychology
3205 Experimental and Cognitive Psychology 3200 General Psychology Experimental and Cognitive Psychology Semantics Physical Phenomena 2806 Developmental Neuroscience Cognition Memory Short-Term Developmental Neuroscience Mental Recall Humans 150 Psychology General Psychology |
| Zdroj: | Journal of Experimental Psychology: General. 151:2641-2665 |
| ISSN: | 1939-2222 0096-3445 |
| DOI: | 10.1037/xge0001235 |
| Popis: | Compression, the ability to recode information in a denser format, is a core property of working memory (WM). Previous studies have shown that the ability to compress information largely benefits WM performance. Importantly, recent evidence also suggests compression as freeing up WM resources, thus enhancing recall performance for other, less compressible information. Contrary to the traditional view positing that between-item similarity decreases WM performance, this study shows that between-item similarity can be used to free up WM resources through compression. Across a series of four experiments, we show that between-item similarity not only enhances recall performance for similar items themselves, but also for other, less compressible items within the same list, and this in the semantic (Experiment 1), phonological (Experiment 2), visuospatial (Experiment 3), and visual (Experiment 4) domains. Across these different domains, a consistent pattern of results emerged: between-item similarity proactively-but not retroactively-enhanced WM performance for other items, and this as compared with a condition in which between-item similarity at the whole-list level was minimized. We propose that between-item similarity in any domain may impact WM using the same underlying machinery: via a compression mechanism, which allows an efficient reallocation of WM resources. (PsycInfo Database Record (c) 2022 APA, all rights reserved). |
| Databáze: | OpenAIRE |
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