As Time Goes By

Barrouillet, Pierre; Camos, Valérie · 2012 · Crossref

DOI: 10.1177/0963721412459513

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Summary

This paper presents the Time-Based Resource-Sharing (TBRS) model, a theoretical framework proposing that temporal constraints and the competition for attention are the primary limitations of working memory. The authors argue that both the processing and storage functions of working memory rely on the same limited resource: executive attention. Because a central bottleneck forces controlled cognitive activities to occur serially, attention must alternate between processing tasks and refreshing decaying memory traces. Consequently, working memory performance is determined by the trade-off between the time occupied by processing and the time available for maintenance. The TBRS model rests on three assumptions: storage and processing share attentional resources; memory traces decay temporally when attention is diverted; and a central bottleneck necessitates serial processing. The authors review empirical evidence supporting these claims, including studies where participants maintained letter sequences while performing intervening tasks. Results demonstrated that working memory span decreases linearly as cognitive load increases. Cognitive load is defined as the proportion of time attention is captured by processing, regardless of the task's nature. For instance, increasing the number of digits to read or the duration of arithmetic verification reduced recall performance. Crucially, the model predicts that increasing the number of distractors does not impair memory if the pace of presentation (and thus the ratio of processing time to total time) remains constant, a prediction supported by experimental data. The paper further applies the TBRS model to developmental psychology, explaining why working memory capacity increases with age. Studies involving 8- and 11-year-old children revealed that younger children exhibit slower processing speeds and potentially faster temporal decay rates, leading to higher cognitive loads for identical tasks. When processing times were equated across age groups, performance differences diminished. When both processing times and refreshing times were tailored to each group’s capacities, age-related differences in working memory span vanished entirely. This indicates that developmental improvements in working memory are driven by increases in processing speed and the efficiency of refreshing memory traces, rather than an increase in storage capacity itself. The significance of the TBRS model lies in its unification of short-term and working memory under a single temporal framework. It posits that short-term memory capacity (Miller’s 7 ± 2) represents working memory performance when cognitive load is zero. The model provides a metric for the relationship between processing and storage, resolving longstanding debates about the nature of working memory constraints. By identifying time and attention as the core limiting factors, the TBRS model offers a coherent explanation for individual and developmental differences in cognitive performance, suggesting that future research should focus on processing speed and refreshing efficiency rather than static storage limits.

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.

Topics

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• working memory
• capacity resource theory